From 10f4c4685c03468b35293c35f834fae63c0aa96b Mon Sep 17 00:00:00 2001 From: Shenoy Pratik Date: Fri, 9 Aug 2024 15:05:53 -0700 Subject: [PATCH] Fix Observability CI workflow checks (#2046) * add job scheduler to observability CI Signed-off-by: Shenoy Pratik * update workflow for integ tests Signed-off-by: Shenoy Pratik * remove datasources test Signed-off-by: Shenoy Pratik * exclude localhost links from link checker Signed-off-by: Shenoy Pratik * update links for link checker Signed-off-by: Shenoy Pratik --------- Signed-off-by: Shenoy Pratik Signed-off-by: Adam Tackett --- .../datasources_basic_ui.spec.js | 67 ------------------- .../ftr-e2e-dashboards-observability-test.yml | 28 +++++--- .../workflows/integration-tests-workflow.yml | 25 +++++-- .github/workflows/link-checker.yml | 8 +-- .../assets/getting-started-demo-1.0.0.ndjson | 2 +- .../assets/otel-index-patterns-1.0.0.ndjson | 2 +- .../otel-services/info/Tutorial.md | 48 +++++++++---- .../assets/otel-index-patterns-1.0.0.ndjson | 2 +- .../assets/otel-index-patterns-1.0.0.ndjson | 2 +- 9 files changed, 79 insertions(+), 105 deletions(-) delete mode 100644 .cypress/integration/datasources_test/datasources_basic_ui.spec.js diff --git a/.cypress/integration/datasources_test/datasources_basic_ui.spec.js b/.cypress/integration/datasources_test/datasources_basic_ui.spec.js deleted file mode 100644 index 4f9259ef5..000000000 --- a/.cypress/integration/datasources_test/datasources_basic_ui.spec.js +++ /dev/null @@ -1,67 +0,0 @@ -/* - * Copyright OpenSearch Contributors - * SPDX-License-Identifier: Apache-2.0 - */ - -import { FONTEND_BASE_PATH, DATASOURCES_API_PREFIX, DATASOURCES_PATH } from '../../utils/constants'; - -const MANAGE_DATASOURCES_TAG = 'button[data-test-subj="manage"]'; -const NEW_DATASOURCES_TAG = 'button[data-test-subj="new"]'; -const CREATE_S3_BUTTON = '[data-test-subj="datasource_card_s3glue"]'; -const CREATE_PROMETHEUS_BUTTON = '[data-test-subj="datasource_card_prometheus"]'; - -const visitDatasourcesHomePage = () => { - cy.visit(FONTEND_BASE_PATH + DATASOURCES_API_PREFIX); -}; - -const visitDatasourcesCreationPage = () => { - cy.visit(FONTEND_BASE_PATH + DATASOURCES_PATH.DATASOURCES_CREATION_BASE); -}; - -describe('Integration tests for datasources plugin', () => { - it('Navigates to datasources plugin and expects the correct header', () => { - visitDatasourcesHomePage(); - cy.get('[data-test-subj="dataconnections-header"]').should('exist'); - }); - - it('Tests navigation between tabs', () => { - visitDatasourcesHomePage(); - - cy.get(MANAGE_DATASOURCES_TAG) - .should('have.class', 'euiTab-isSelected') - .and('have.attr', 'aria-selected', 'true'); - cy.get(MANAGE_DATASOURCES_TAG).click(); - cy.url().should('include', '/manage'); - - cy.get(NEW_DATASOURCES_TAG).click(); - cy.get(NEW_DATASOURCES_TAG) - .should('have.class', 'euiTab-isSelected') - .and('have.attr', 'aria-selected', 'true'); - cy.url().should('include', '/new'); - - cy.get(CREATE_S3_BUTTON).should('be.visible'); - cy.get(CREATE_PROMETHEUS_BUTTON).should('be.visible'); - }); - - it('Tests navigation of S3 datasources creation page with hash', () => { - visitDatasourcesCreationPage(); - - cy.get(CREATE_S3_BUTTON).should('be.visible').click(); - cy.url().should('include', DATASOURCES_PATH.DATASOURCES_CONFIG_BASE + '/AmazonS3AWSGlue'); - - cy.get('h1.euiTitle.euiTitle--medium') - .should('be.visible') - .and('contain', 'Configure Amazon S3 data source'); - }); - - it('Tests navigation of Prometheus datasources creation page with hash', () => { - visitDatasourcesCreationPage(); - - cy.get(CREATE_PROMETHEUS_BUTTON).should('be.visible').click(); - cy.url().should('include', DATASOURCES_PATH.DATASOURCES_CONFIG_BASE + '/Prometheus'); - - cy.get('h4.euiTitle.euiTitle--medium') - .should('be.visible') - .and('contain', 'Configure Prometheus data source'); - }); -}); diff --git a/.github/workflows/ftr-e2e-dashboards-observability-test.yml b/.github/workflows/ftr-e2e-dashboards-observability-test.yml index e90f4ee95..e4d77e11b 100644 --- a/.github/workflows/ftr-e2e-dashboards-observability-test.yml +++ b/.github/workflows/ftr-e2e-dashboards-observability-test.yml @@ -4,9 +4,9 @@ on: [pull_request, push] env: PLUGIN_NAME: dashboards-observability - OPENSEARCH_DASHBOARDS_VERSION: 'main' - OPENSEARCH_VERSION: '3.0.0' - OPENSEARCH_PLUGIN_VERSION: '3.0.0.0' + OPENSEARCH_DASHBOARDS_VERSION: "main" + OPENSEARCH_VERSION: "3.0.0" + OPENSEARCH_PLUGIN_VERSION: "3.0.0.0" jobs: tests: @@ -29,8 +29,15 @@ jobs: - name: Set up Java 21 uses: actions/setup-java@v3 with: - distribution: 'corretto' - java-version: '21' + distribution: "corretto" + java-version: "21" + + - name: Download Job Scheduler artifact + uses: suisei-cn/actions-download-file@v1.4.0 + with: + url: https://aws.oss.sonatype.org/service/local/artifact/maven/redirect?r=snapshots&g=org.opensearch.plugin&a=opensearch-job-scheduler&v=${{ env.OPENSEARCH_PLUGIN_VERSION }}-SNAPSHOT&p=zip + target: plugin-artifacts/ + filename: opensearch-job-scheduler.zip - name: Download observability artifact uses: suisei-cn/actions-download-file@v1.4.0 @@ -57,6 +64,11 @@ jobs: rm -f opensearch-*.tar.gz shell: bash + - name: Install job scheduler plugin + run: | + /bin/bash -c "yes | ./opensearch-${{ env.OPENSEARCH_VERSION }}-SNAPSHOT/bin/opensearch-plugin install file:$(pwd)/plugin-artifacts/opensearch-job-scheduler.zip" + shell: bash + - name: Install observability plugin run: | /bin/bash -c "yes | ./opensearch-${{ env.OPENSEARCH_VERSION }}-SNAPSHOT/bin/opensearch-plugin install file:$(pwd)/plugin-artifacts/observability.zip" @@ -94,7 +106,7 @@ jobs: uses: actions/setup-node@v1 with: node-version: ${{ steps.versions_step.outputs.node_version }} - registry-url: 'https://registry.npmjs.org' + registry-url: "https://registry.npmjs.org" - name: Install correct yarn version for OpenSearch Dashboards run: | @@ -112,7 +124,7 @@ jobs: cd OpenSearch-Dashboards nohup yarn start --no-base-path --no-watch | tee dashboard.log & - - name : Check If OpenSearch Dashboards Is Ready + - name: Check If OpenSearch Dashboards Is Ready if: ${{ runner.os == 'Linux' }} run: | cd ./OpenSearch-Dashboards @@ -130,7 +142,7 @@ jobs: repository: opensearch-project/opensearch-dashboards-functional-test ref: ${{ env.OPENSEARCH_DASHBOARDS_VERSION }} fetch-depth: 0 - + - name: Install Cypress run: | npm install cypress --save-dev diff --git a/.github/workflows/integration-tests-workflow.yml b/.github/workflows/integration-tests-workflow.yml index a4e56a573..d9b448da2 100644 --- a/.github/workflows/integration-tests-workflow.yml +++ b/.github/workflows/integration-tests-workflow.yml @@ -4,9 +4,9 @@ on: [pull_request, push] env: PLUGIN_NAME: dashboards-observability - OPENSEARCH_DASHBOARDS_VERSION: 'main' - OPENSEARCH_VERSION: '3.0.0' - OPENSEARCH_PLUGIN_VERSION: '3.0.0.0' + OPENSEARCH_DASHBOARDS_VERSION: "main" + OPENSEARCH_VERSION: "3.0.0" + OPENSEARCH_PLUGIN_VERSION: "3.0.0.0" jobs: tests: @@ -26,7 +26,6 @@ jobs: testgroups: [ app_analytics_test, - datasources_test, event_analytics_test, integrations_test, metrics_analytics_test, @@ -43,8 +42,15 @@ jobs: - name: Set up Java 21 uses: actions/setup-java@v3 with: - distribution: 'corretto' - java-version: '21' + distribution: "corretto" + java-version: "21" + + - name: Download Job Scheduler artifact + uses: suisei-cn/actions-download-file@v1.4.0 + with: + url: https://aws.oss.sonatype.org/service/local/artifact/maven/redirect?r=snapshots&g=org.opensearch.plugin&a=opensearch-job-scheduler&v=${{ env.OPENSEARCH_PLUGIN_VERSION }}-SNAPSHOT&p=zip + target: plugin-artifacts/ + filename: opensearch-job-scheduler.zip - name: Download observability artifact uses: suisei-cn/actions-download-file@v1.4.0 @@ -71,6 +77,11 @@ jobs: rm -f opensearch-*.tar.gz shell: bash + - name: Install job scheduler plugin + run: | + /bin/bash -c "yes | ./opensearch-${{ env.OPENSEARCH_VERSION }}-SNAPSHOT/bin/opensearch-plugin install file:$(pwd)/plugin-artifacts/opensearch-job-scheduler.zip" + shell: bash + - name: Install observability plugin run: | /bin/bash -c "yes | ./opensearch-${{ env.OPENSEARCH_VERSION }}-SNAPSHOT/bin/opensearch-plugin install file:$(pwd)/plugin-artifacts/observability.zip" @@ -108,7 +119,7 @@ jobs: uses: actions/setup-node@v1 with: node-version: ${{ steps.versions_step.outputs.node_version }} - registry-url: 'https://registry.npmjs.org' + registry-url: "https://registry.npmjs.org" - name: Configure OpenSearch Dashboards run: | diff --git a/.github/workflows/link-checker.yml b/.github/workflows/link-checker.yml index ed4ce699e..c24669a2b 100644 --- a/.github/workflows/link-checker.yml +++ b/.github/workflows/link-checker.yml @@ -1,13 +1,12 @@ name: Link Checker on: push: - branches: [ main ] + branches: [main] pull_request: - branches: [ main ] + branches: [main] jobs: linkchecker: - runs-on: ubuntu-latest steps: @@ -16,9 +15,8 @@ jobs: id: lychee uses: lycheeverse/lychee-action@master with: - args: --accept=200,403,429 "./**/*.html" "./**/*.md" "./**/*.txt" + args: --accept=200,403,429 "./**/*.html" "./**/*.md" "./**/*.txt" --exclude "http://localhost" --exclude "https://localhost" env: GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}} - name: Fail if there were link errors run: exit ${{ steps.lychee.outputs.exit_code }} - diff --git a/public/components/getting_started/getting_started_artifacts/otel-services/assets/getting-started-demo-1.0.0.ndjson b/public/components/getting_started/getting_started_artifacts/otel-services/assets/getting-started-demo-1.0.0.ndjson index d4948d443..1519fdd1d 100644 --- a/public/components/getting_started/getting_started_artifacts/otel-services/assets/getting-started-demo-1.0.0.ndjson +++ b/public/components/getting_started/getting_started_artifacts/otel-services/assets/getting-started-demo-1.0.0.ndjson @@ -1,4 +1,4 @@ -{"attributes":{"description":"A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"Otel-Demo-Getting-Started","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"},"id":"1afe2a50-3e38-11ef-a07c-d3f2df91ca50","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-09T21:21:23.913Z","version":"WzI4LDJd"} +{"attributes":{"description":"A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"Otel-Demo-Getting-Started","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/getting-started/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"},"id":"1afe2a50-3e38-11ef-a07c-d3f2df91ca50","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-09T21:21:23.913Z","version":"WzI4LDJd"} {"attributes":{"description":"OpenTelemetry Getting Started instructions for running locally the OpenTelemetry-Demo web-store application and ingesting the telemetry into 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diff --git a/public/components/getting_started/getting_started_artifacts/otel-services/assets/otel-index-patterns-1.0.0.ndjson b/public/components/getting_started/getting_started_artifacts/otel-services/assets/otel-index-patterns-1.0.0.ndjson index 9d589ebdd..5b169f88a 100644 --- a/public/components/getting_started/getting_started_artifacts/otel-services/assets/otel-index-patterns-1.0.0.ndjson +++ b/public/components/getting_started/getting_started_artifacts/otel-services/assets/otel-index-patterns-1.0.0.ndjson @@ -2,7 +2,7 @@ {"attributes": {"fields": 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"title": "otel-v1-apm-service-map"}, "id": "b28267e0-42d6-11ef-89a5-1b5d850d8b93", "migrationVersion": {"index-pattern": "7.6.0"}, "references": [], "type": "index-pattern", "updated_at": "2024-07-15T18:18:55.710Z", "version": "WzE5MiwxXQ=="} -{"attributes": {"description": "A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch", "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"}, "title": "Otel-Demo-Getting-Started", "uiStateJSON": "{}", "version": 1, "visState": "{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"}, "id": "1afe2a50-3e38-11ef-a07c-d3f2df91ca50", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-09T21:21:23.913Z", "version": "WzI4LDJd"} +{"attributes": {"description": "A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch", "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"}, "title": "Otel-Demo-Getting-Started", "uiStateJSON": "{}", "version": 1, "visState": "{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/getting-started/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"}, "id": "1afe2a50-3e38-11ef-a07c-d3f2df91ca50", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-09T21:21:23.913Z", "version": "WzI4LDJd"} {"attributes": {"description": "OpenTelemetry Getting Started instructions for running locally the OpenTelemetry-Demo web-store application and ingesting the telemetry into opensearch", "hits": 0, "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"language\":\"kuery\",\"query\":\"\"},\"filter\":[]}"}, "optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}", "panelsJSON": 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started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started\\nGetting started with the OTEL demo including running the OpenSearch Server and Dashboard.\\n\\n`docker-compose up -d` starts all the services and initiates the load-generator activity for synthetically creating user activity on the demo web store.\\n\\nThe following web-pages can be directly access to review the load generator\\n- http://localhost:8089/\\n\\n- Here the synthetic testing process can be started\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/blob/main/tutorial/img/load-generator.png?raw=true)\\n\\nThe following web-pages can be directly access to actually simulate store purchase\\n- http://localhost:8080/ (front-end) OR http://localhost:90 (nginx-forntend proxy)\\n- Here the actual shop demo can be used (simulated demo shop ...)\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/demo-app.png)\\n\\n\\n---\\n\\n## Logging In Dashboard\\n\\nOnce all services are up and running - log-in to the Dashboard and enter the next credentials\\n\\n**User: `admin` | Password: `my_%New%_passW0rd!@#`**\\n\\n- http://localhost:5601/\\n- OpenSearch Dashboard login\\n\\n![dashboard-login.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-login.png)\\n\\n## Store URLs in session storage\\nEnable Store URLs in session storage for allowing to view and edit Vega based visualizations\\n- Once logged in, go to [Advanced Setting](http://localhost:5601/app/management/opensearch-dashboards/settings)\\n ![store-url-in-session.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/store-url-in-session.png)\\n\\n## Installing OTEL Services Demo\\n\\nInstall OpenTelemetry Dashboards workflow - navigate to the [Observability Catalog Release Page](https://github.com/opensearch-project/opensearch-catalog/blob/main/docs/integrations/Release.md) sections and select the [Otel Services Dashboards 1.0.0 Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n- Go to the Dashboard Management and select `Saved Objects`\\n- Select the `Import` Icon and choose the Otel Services Dashboards 1.0.0 Release file\\n- In the import Dialog: Check for existing objects, Automatically overwrite conflicts and press the import button\\n\\nThis will load all the OpenTelemetry Services flow dashboards and you can immediately navigate to any of the imported dashboards and monitor the ingested telemetry data.\\n> _For detailed instructions see [here](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)_\\n\\n![integration-otel-services-setup.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-mng.png)\\n\\n![integration-otel-services-dashboards.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/import-savedObj.png)\\n\\n\\n## Ingestion Rate Dashboard\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n\\n![otel-ingestion-rate-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/otel-ingestion-rate-dashboard.png)\\n\\n## Services High Level Dashboards View\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n![services-general-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/services-general-dashboard.png)\\n\\n## Single Service Details Dashboards View\\nThis dashboard show the specific service details including associated high level view of the metrics collected for the service\\n![specific-service-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/specific-service-dashboard.png)\\n\\n## Service Metrics View\\n\\n### Service Metrics system projection Dashboards\\nThis dashboard show the specific service details in particular the system related metrics collected for the service\\n\\n![amp-services-system-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-system-metrics-details.png)\\n\\n### Service Metrics network projection Dashboards\\nThis dashboard show the specific service details in particular the network related metrics collected for the service\\n\\n![amp-services-network-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-network-metrics-details.png)\\n\\n## Trace Analytics\\nTraces can also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/traces)\\n![traces-analytics-dialog.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog.png)\\n- showing a table of traces with their duration/errors rates\\n\\n![traces-analytics-dialog-spans.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog-spans.png)\\n- showing a specific trace's spans water fall chart\\n---\\n## Services Analytics\\nServices can be also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/services)\\n\\n![service-analytics-dialog-list.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-list.png)\\n- showing the table of services including their Group /Avg Duration / Errors\\n\\n![service-analytics-dialog-services_map.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-services_map.png)\\n- showing the service map graph with the services relationships\\n\\n![service-analytics-dialog-trace_group.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-trace_group.png)\\n- showing the services trace-group charts according to Avg Duration / Traces-Error rates / Traces Request rates\\n\\n\\n---\\n## Metrics Analytics\\n\\n### Setting Up Prometheus `datasource`\\n- First [setup](http://localhost:5601/app/datasources#/new) the Prometheus datasource we wanted to connect with\\n ![configure-prometheus-datasource.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/configure-prometheus-datasource.png)\\n\\n### Query Prometheus OTEL metrics\\n- [Select the OTEL metrics](http://localhost:5601/app/observability-metrics#/) (Prometheus / OpenSearch) we want to display\\n ![metrics-analytics-prometheus.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus.png)\\n ![metrics-analytics-prometheus-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus-select-metrics.png)\\n\\n### Query OpenSearch OTEL metrics\\n- Select the `ss4o_metrics-*-*` based index to view the OTEL metrics stored in OpenSearch:\\n ![metrics-analytics-opensearch-otel-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics.png)\\n ![metrics-analytics-opensearch-otel-metrics-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics-select-metrics.png)\\n\\n## Discover - Log Exploration\\n- [Discover](http://localhost:5601/app/data-explorer/discover) the OTEL logs stored inside OpenSearch\\n ![logs-discovery-otel.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/logs-discovery-otel.png)\"}}"}, "id": "dc346ca0-48ad-11ef-9e1e-9fe5e67444b8", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-23T04:41:43.274Z", "version": "WzE2MSw4XQ=="} {"attributes": {"description": "Otel demo tutorial getting started dashboard", "hits": 0, "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"language\":\"kuery\",\"query\":\"\"},\"filter\":[]}"}, "optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}", "panelsJSON": "[{\"version\":\"2.15.0\",\"gridData\":{\"x\":0,\"y\":0,\"w\":24,\"h\":15,\"i\":\"a4c3c160-7604-44bc-897c-02c9c7667c37\"},\"panelIndex\":\"a4c3c160-7604-44bc-897c-02c9c7667c37\",\"embeddableConfig\":{},\"panelRefName\":\"panel_0\"}]", "timeRestore": false, "title": "Otel demo tutorial", "version": 1}, "id": "e61829a0-48ad-11ef-9e1e-9fe5e67444b8", "migrationVersion": {"dashboard": "7.9.3"}, "references": [{"id": "dc346ca0-48ad-11ef-9e1e-9fe5e67444b8", "name": "panel_0", "type": "visualization"}], "type": "dashboard", "updated_at": "2024-07-23T04:41:59.866Z", "version": "WzE2Miw4XQ=="} diff --git a/public/components/getting_started/getting_started_artifacts/otel-services/info/Tutorial.md b/public/components/getting_started/getting_started_artifacts/otel-services/info/Tutorial.md index d401cc899..e129c4d93 100644 --- a/public/components/getting_started/getting_started_artifacts/otel-services/info/Tutorial.md +++ b/public/components/getting_started/getting_started_artifacts/otel-services/info/Tutorial.md @@ -6,7 +6,7 @@ This setup is essential for monitoring and observability in distributed systems, ## Purpose and Context The goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper. -Data Prepper processes this data and sends it to OpenSearch for storage and analysis. +Data Prepper processes this data and sends it to OpenSearch for storage and analysis. ## Prerequisites @@ -30,6 +30,7 @@ Data Prepper processes this data and sends it to OpenSearch for storage and anal Clone the OpenTelemetry demo repository to your local machine. **Command:** + ```sh git clone https://github.com/opensearch-project/opentelemetry-demo.git ``` @@ -43,20 +44,24 @@ Create a Docker network named `opensearch-net` for the OpenSearch and Data Prepp Use this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container. **Command:** + ```sh docker network create opensearch-net ``` **Description:** This network ensures that all containers can communicate with each other within the same network. -If `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition +If `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition + ```yaml networks: - opensearch-otel-demo: + opensearch-otel-demo: ``` -Into the following + +Into the following + ```yaml - network_mode: host +network_mode: host ``` ### 3. Update Docker Environment File @@ -64,6 +69,7 @@ Into the following Download and update the Docker environment file with the necessary parameters. **Command:** + ```sh wget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env ``` @@ -72,6 +78,7 @@ wget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/mai The `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers. Update the following parameters: + ```yaml # OpenSearch Node1 OPENSEARCH_PORT=9200 @@ -84,15 +91,16 @@ OPENSEARCH_DASHBOARD_HOST=opensearch-dashboards OPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT} ``` -If running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing -in the `.env` file to be able to recognize your local running services. +If running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing +in the `.env` file to be able to recognize your local running services. ### 4. Configure Data Prepper Pipelines Configure the Data Prepper pipelines for logs, traces, metrics, and services. #### Logs Exporter + Update the pipelines.yaml: **Command:** @@ -118,9 +126,11 @@ otel-logs-pipeline: ``` #### Traces Exporter + Update the pipelines.yaml: **Command:** + ```yaml entry-pipeline: delay: "100" @@ -148,9 +158,11 @@ raw-pipeline: ``` #### Metrics Exporter + Update the pipelines.yaml **Command:** + ```yaml otel-metrics-pipeline: workers: 8 @@ -182,9 +194,11 @@ otel-metrics-pipeline: ``` #### Services Exporter + Update the pipelines.yaml **Command:** + ```yaml service-map-pipeline: delay: "100" @@ -207,9 +221,11 @@ service-map-pipeline: Integrate Data Prepper pipelines within the OpenTelemetry Collector configuration. #### Logs Services + Update the otelcol-config.yml: **Command:** + ```yaml receivers: otlp: @@ -222,7 +238,7 @@ exporters: endpoint: "data-prepper:21892" tls: insecure: true - insecure_skip_verify: true + insecure_skip_verify: true service: pipelines: @@ -242,7 +258,7 @@ Update the otelcol-config.yml: endpoint: "data-prepper:21890" tls: insecure: true - insecure_skip_verify: true + insecure_skip_verify: true service: pipelines: @@ -253,15 +269,17 @@ service: ``` #### Metrics Services + Update the otelcol-config.yml: **Command:** + ```yaml otlp/metrics: endpoint: "data-prepper:21891" tls: insecure: true - insecure_skip_verify: true + insecure_skip_verify: true service: pipelines: @@ -276,6 +294,7 @@ service: Start the Docker containers and validate the setup. **Command:** + ```sh docker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0 ``` @@ -288,7 +307,8 @@ The `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-da --- ## Additional Info - - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/GettingStarted.md) - - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo) - - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0) - - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md) \ No newline at end of file + +- [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/getting-started/GettingStarted.md) +- [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo) +- [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0) +- [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md) diff --git a/server/adaptors/integrations/__data__/repository/otel-services/assets/otel-index-patterns-1.0.0.ndjson b/server/adaptors/integrations/__data__/repository/otel-services/assets/otel-index-patterns-1.0.0.ndjson index f819d2b2a..1216fdcbc 100644 --- a/server/adaptors/integrations/__data__/repository/otel-services/assets/otel-index-patterns-1.0.0.ndjson +++ b/server/adaptors/integrations/__data__/repository/otel-services/assets/otel-index-patterns-1.0.0.ndjson @@ -3,7 +3,7 @@ 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-{"attributes":{"description":"A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"Otel-Demo-Getting-Started","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"},"id":"1afe2a50-3e38-11ef-a07c-d3f2df91ca50","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-09T21:21:23.913Z","version":"WzI4LDJd"} +{"attributes":{"description":"A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"Otel-Demo-Getting-Started","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/getting-started/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"},"id":"1afe2a50-3e38-11ef-a07c-d3f2df91ca50","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-09T21:21:23.913Z","version":"WzI4LDJd"} {"attributes":{"description":"OpenTelemetry Getting Started instructions for running locally the OpenTelemetry-Demo web-store application and ingesting the telemetry into 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markdown","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"Otel-Demo Tutorial getting started","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"Otel-Demo Tutorial getting started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started\\nGetting started with the OTEL demo including running the OpenSearch Server and Dashboard.\\n\\n`docker-compose up -d` starts all the services and initiates the load-generator activity for synthetically creating user activity on the demo web store.\\n\\nThe following web-pages can be directly access to review the load generator\\n- http://localhost:8089/\\n\\n- Here the synthetic testing process can be started\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/blob/main/tutorial/img/load-generator.png?raw=true)\\n\\nThe following web-pages can be directly access to actually simulate store purchase\\n- http://localhost:8080/ (front-end) OR http://localhost:90 (nginx-forntend proxy)\\n- Here the actual shop demo can be used (simulated demo shop ...)\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/demo-app.png)\\n\\n\\n---\\n\\n## Logging In Dashboard\\n\\nOnce all services are up and running - log-in to the Dashboard and enter the next credentials\\n\\n**User: `admin` | Password: `my_%New%_passW0rd!@#`**\\n\\n- http://localhost:5601/\\n- OpenSearch Dashboard login\\n\\n![dashboard-login.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-login.png)\\n\\n## Store URLs in session storage\\nEnable Store URLs in session storage for allowing to view and edit Vega based visualizations\\n- Once logged in, go to [Advanced Setting](http://localhost:5601/app/management/opensearch-dashboards/settings)\\n ![store-url-in-session.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/store-url-in-session.png)\\n\\n### Enable Vega Navigation In Dashboard\\nTo allow Vega visualization to navigate the different demo dashboards user workflow, update the `opensearch_dashboards.yml` config file with the following setting\\n```yaml\\nvis_type_vega.enableExternalUrls: true\\n```\\n> As can be seen [here](https://github.com/opensearch-project/opentelemetry-demo/blob/2b675f39c5ef25f26ef0f3c2c6fec5a5a260d33b/src/dashboards/config/opensearch_dashboards.yml#L368)\\n\\n---\\n## Installing OTEL Services Demo\\n\\nInstall OpenTelemetry Dashboards workflow - navigate to the [Observability Catalog Release Page](https://github.com/opensearch-project/opensearch-catalog/blob/main/docs/integrations/Release.md) sections and select the [Otel Services Dashboards 1.0.0 Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n- Go to the Dashboard Management and select `Saved Objects`\\n- Select the `Import` Icon and choose the Otel Services Dashboards 1.0.0 Release file\\n- In the import Dialog: Check for existing objects, Automatically overwrite conflicts and press the import button\\n\\nThis will load all the OpenTelemetry Services flow dashboards and you can immediately navigate to any of the imported dashboards and monitor the ingested telemetry data.\\n> _For detailed instructions see [here](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)_\\n\\n![integration-otel-services-setup.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-mng.png)\\n\\n![integration-otel-services-dashboards.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/import-savedObj.png)\\n\\n\\n## Ingestion Rate Dashboard\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n\\n![otel-ingestion-rate-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/otel-ingestion-rate-dashboard.png)\\n\\n## Services High Level Dashboards View\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n![services-general-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/services-general-dashboard.png)\\n\\n## Single Service Details Dashboards View\\nThis dashboard show the specific service details including associated high level view of the metrics collected for the service\\n![specific-service-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/specific-service-dashboard.png)\\n\\n## Service Metrics View\\n\\n### Service Metrics system projection Dashboards\\nThis dashboard show the specific service details in particular the system related metrics collected for the service\\n\\n![amp-services-system-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-system-metrics-details.png)\\n\\n### Service Metrics network projection Dashboards\\nThis dashboard show the specific service details in particular the network related metrics collected for the service\\n\\n![amp-services-network-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-network-metrics-details.png)\\n\\n## Trace Analytics\\nTraces can also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/traces)\\n![traces-analytics-dialog.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog.png)\\n- showing a table of traces with their duration/errors rates\\n\\n![traces-analytics-dialog-spans.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog-spans.png)\\n- showing a specific trace's spans water fall chart\\n---\\n## Services Analytics\\nServices can be also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/services)\\n\\n![service-analytics-dialog-list.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-list.png)\\n- showing the table of services including their Group /Avg Duration / Errors\\n\\n![service-analytics-dialog-services_map.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-services_map.png)\\n- showing the service map graph with the services relationships\\n\\n![service-analytics-dialog-trace_group.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-trace_group.png)\\n- showing the services trace-group charts according to Avg Duration / Traces-Error rates / Traces Request rates\\n\\n\\n---\\n## Metrics Analytics\\n\\n### Setting Up Prometheus `datasource`\\n- First [setup](http://localhost:5601/app/datasources#/new) the Prometheus datasource we wanted to connect with\\n ![configure-prometheus-datasource.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/configure-prometheus-datasource.png)\\n\\n### Query Prometheus OTEL metrics\\n- [Select the OTEL metrics](http://localhost:5601/app/observability-metrics#/) (Prometheus / OpenSearch) we want to display\\n ![metrics-analytics-prometheus.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus.png)\\n ![metrics-analytics-prometheus-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus-select-metrics.png)\\n\\n### Query OpenSearch OTEL metrics\\n- Select the `ss4o_metrics-*-*` based index to view the OTEL metrics stored in OpenSearch:\\n ![metrics-analytics-opensearch-otel-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics.png)\\n ![metrics-analytics-opensearch-otel-metrics-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics-select-metrics.png)\\n\\n## Discover - Log Exploration\\n- [Discover](http://localhost:5601/app/data-explorer/discover) the OTEL logs stored inside OpenSearch\\n ![logs-discovery-otel.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/logs-discovery-otel.png)\"}}"},"id":"dc346ca0-48ad-11ef-9e1e-9fe5e67444b8","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-23T05:02:09.549Z","version":"WzE4Niw4XQ=="} {"attributes":{"description":"Otel demo tutorial getting started dashboard","hits":0,"kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"language\":\"kuery\",\"query\":\"\"},\"filter\":[]}"},"optionsJSON":"{\"hidePanelTitles\":false,\"useMargins\":true}","panelsJSON":"[{\"version\":\"2.15.0\",\"gridData\":{\"x\":0,\"y\":0,\"w\":24,\"h\":15,\"i\":\"a4c3c160-7604-44bc-897c-02c9c7667c37\"},\"panelIndex\":\"a4c3c160-7604-44bc-897c-02c9c7667c37\",\"embeddableConfig\":{},\"panelRefName\":\"panel_0\"}]","timeRestore":false,"title":"Otel demo tutorial","version":1},"id":"e61829a0-48ad-11ef-9e1e-9fe5e67444b8","migrationVersion":{"dashboard":"7.9.3"},"references":[{"id":"dc346ca0-48ad-11ef-9e1e-9fe5e67444b8","name":"panel_0","type":"visualization"}],"type":"dashboard","updated_at":"2024-07-23T04:45:13.014Z","version":"WzE4Myw4XQ=="} diff --git a/server/routes/getting_started/assets/otel-index-patterns-1.0.0.ndjson b/server/routes/getting_started/assets/otel-index-patterns-1.0.0.ndjson index 9d589ebdd..5b169f88a 100644 --- a/server/routes/getting_started/assets/otel-index-patterns-1.0.0.ndjson +++ b/server/routes/getting_started/assets/otel-index-patterns-1.0.0.ndjson @@ -2,7 +2,7 @@ {"attributes": {"fields": 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"title": "otel-v1-apm-service-map"}, "id": "b28267e0-42d6-11ef-89a5-1b5d850d8b93", "migrationVersion": {"index-pattern": "7.6.0"}, "references": [], "type": "index-pattern", "updated_at": "2024-07-15T18:18:55.710Z", "version": "WzE5MiwxXQ=="} -{"attributes": {"description": "A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch", "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"}, "title": "Otel-Demo-Getting-Started", "uiStateJSON": "{}", "version": 1, "visState": "{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"}, "id": "1afe2a50-3e38-11ef-a07c-d3f2df91ca50", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-09T21:21:23.913Z", "version": "WzI4LDJd"} +{"attributes": {"description": "A getting Started tutorial for OpenTelemetry Demo repository including running the services and ingesting telemetry into opensearch", "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"}, "title": "Otel-Demo-Getting-Started", "uiStateJSON": "{}", "version": 1, "visState": "{\"title\":\"Otel-Demo-Getting-Started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started with OpenTelemetry Collector and Data Prepper for OpenSearch\\n\\nThis tutorial guides you through setting up OpenTelemetry Collector to export logs, traces, and metrics to Data Prepper, which then submits them into OpenSearch.\\nThis setup is essential for monitoring and observability in distributed systems, providing deep insights into application performance and behavior.\\n\\n## Purpose and Context\\n\\nThe goal is to create an environment where OpenTelemetry Collector captures data from a sample openTelemetry demo web-store application and forwards its telemetry info to Data Prepper.\\nData Prepper processes this data and sends it to OpenSearch for storage and analysis. \\n\\n## Prerequisites\\n\\n- Docker and Docker Compose installed on your machine.\\n- Basic knowledge of Docker and containerized applications.\\n- Access to the OpenSearch and OpenTelemetry repositories.\\n\\n## Workflow Overview\\n\\n1. **Setup OpenTelemetry Local Repository**: Clone the OpenTelemetry demo repository.\\n2. **Create Docker Network**: Establish a dedicated network for OpenSearch containers.\\n3. **Update Docker Environment File**: Configure environment variables for Docker Compose.\\n4. **Configure Data Prepper Pipelines**: Set up pipelines for logs, traces, metrics, and services.\\n5. **Configure OpenTelemetry Collector**: Integrate Data Prepper pipelines with the OpenTelemetry Collector.\\n6. **Run Docker Compose**: Start the Docker containers and validate the setup.\\n\\n## Steps\\n\\n### 1. Setup OpenTelemetry Local Repository\\n\\nClone the OpenTelemetry demo repository to your local machine.\\n\\n**Command:**\\n```sh\\ngit clone https://github.com/opensearch-project/opentelemetry-demo.git\\n```\\n\\n**Description:**\\nThis step sets up the OpenTelemetry demo repository locally, which contains all the necessary configuration files and resources.\\n\\n### 2. Create Docker Network\\n\\nCreate a Docker network named `opensearch-net` for the OpenSearch and Data Prepper containers to communicate.\\nUse this specific command if your existing `opensearch` & `opensearch-dashboards` are already running within a docker-compose container.\\n\\n**Command:**\\n```sh\\ndocker network create opensearch-net\\n```\\n\\n**Description:**\\nThis network ensures that all containers can communicate with each other within the same network.\\nIf `opensearch` & `opensearch-dashboards` are running outside of a container scope - for example in your localhost, change the original docker network definition \\n```yaml\\nnetworks:\\n opensearch-otel-demo:\\n```\\nInto the following \\n```yaml\\n network_mode: host\\n```\\n\\n### 3. Update Docker Environment File\\n\\nDownload and update the Docker environment file with the necessary parameters.\\n\\n**Command:**\\n```sh\\nwget https://raw.githubusercontent.com/opensearch-project/opentelemetry-demo/main/.env\\n```\\n\\n**Description:**\\nThe `.env` file contains environment variables required for Docker Compose to configure the OpenSearch and Data Prepper containers.\\n\\nUpdate the following parameters:\\n```yaml\\n# OpenSearch Node1\\nOPENSEARCH_PORT=9200\\nOPENSEARCH_HOST=opensearch\\nOPENSEARCH_ADDR=${OPENSEARCH_HOST}:${OPENSEARCH_PORT}\\n\\n# OpenSearch Dashboard\\nOPENSEARCH_DASHBOARD_PORT=5601\\nOPENSEARCH_DASHBOARD_HOST=opensearch-dashboards\\nOPENSEARCH_DASHBOARD_ADDR=${OPENSEARCH_DASHBOARD_HOST}:${OPENSEARCH_DASHBOARD_PORT}\\n\\n```\\nIf running `opensearch` & `opensearch-dashboards` are running outside of a container scope - also update the host names `OPENSEARCH_HOST`, `OPENSEARCH_DASHBOARD_HOST` appearing \\nin the `.env` file to be able to recognize your local running services.\\n\\n\\n### 4. Configure Data Prepper Pipelines\\n\\nConfigure the Data Prepper pipelines for logs, traces, metrics, and services.\\n\\n#### Logs Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n\\n```yaml\\notel-logs-pipeline:\\n workers: 5\\n delay: 10\\n source:\\n otel_logs_source:\\n ssl: false\\n buffer:\\n bounded_blocking:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: otel-events-%{yyyy.MM.dd}\\n bulk_size: 4\\n```\\n\\n#### Traces Exporter\\nUpdate the pipelines.yaml:\\n\\n**Command:**\\n```yaml\\nentry-pipeline:\\n delay: \\\"100\\\"\\n source:\\n otel_trace_source:\\n ssl: false\\n sink:\\n - pipeline:\\n name: \\\"raw-pipeline\\\"\\n - pipeline:\\n name: \\\"service-map-pipeline\\\"\\nraw-pipeline:\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - otel_trace_raw:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-raw\\n```\\n\\n#### Metrics Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\notel-metrics-pipeline:\\n workers: 8\\n delay: 3000\\n source:\\n otel_metrics_source:\\n health_check_service: true\\n ssl: false\\n buffer:\\n bounded_blocking:\\n buffer_size: 1024\\n batch_size: 1024\\n processor:\\n - otel_metrics:\\n calculate_histogram_buckets: true\\n calculate_exponential_histogram_buckets: true\\n exponential_histogram_max_allowed_scale: 10\\n flatten_attributes: false\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n insecure: true\\n index_type: custom\\n index: ss4o_metrics-otel-%{yyyy.MM.dd}\\n bulk_size: 4\\n template_type: index-template\\n```\\n\\n#### Services Exporter\\nUpdate the pipelines.yaml\\n\\n**Command:**\\n```yaml\\nservice-map-pipeline:\\n delay: \\\"100\\\"\\n source:\\n pipeline:\\n name: \\\"entry-pipeline\\\"\\n processor:\\n - service_map_stateful:\\n sink:\\n - opensearch:\\n hosts: [\\\"https://opensearch-node1:9200\\\"]\\n insecure: true\\n username: \\\"admin\\\"\\n password: \\\"my_%New%_passW0rd!@#\\\"\\n index_type: trace-analytics-service-map\\n```\\n\\n### 5. Configure OpenTelemetry Collector\\n\\nIntegrate Data Prepper pipelines within the OpenTelemetry Collector configuration.\\n\\n#### Logs Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\nreceivers:\\n otlp:\\n protocols:\\n grpc:\\n http:\\n\\nexporters:\\n otlp/logs:\\n endpoint: \\\"data-prepper:21892\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n logs:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp/logs, debug]\\n```\\n\\n#### Traces Services\\n\\n**Command:**\\nUpdate the otelcol-config.yml:\\n\\n```yaml\\n otlp/traces:\\n endpoint: \\\"data-prepper:21890\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n traces:\\n receivers: [otlp]\\n processors: [batch]\\n exporters: [otlp, debug, spanmetrics, otlp/traces]\\n```\\n\\n#### Metrics Services\\nUpdate the otelcol-config.yml:\\n\\n**Command:**\\n```yaml\\n otlp/metrics:\\n endpoint: \\\"data-prepper:21891\\\"\\n tls:\\n insecure: true\\n insecure_skip_verify: true \\n\\nservice:\\n pipelines:\\n metrics:\\n receivers: [otlp, spanmetrics]\\n processors: [filter/ottl, transform, batch]\\n exporters: [otlphttp/prometheus, otlp/metrics, debug]\\n```\\n\\n### 6. Run Docker Compose\\n\\nStart the Docker containers and validate the setup.\\n\\n**Command:**\\n```sh\\ndocker-compose up -d --scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0\\n```\\n\\n**Description:**\\n\\nThis command starts the Docker containers for the OpenTelemetry Collector and Data Prepper, creating a live environment for data collection and analysis.\\n\\nThe `--scale opensearch-node1=0 --scale opensearch-node2=0 --scale opensearch-dashboards=0` command removes the opensearch & dashboard from being started in case they are already running.\\n\\n---\\n## Additional Info\\n - [Getting Started Info Document](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/getting-started/GettingStarted.md)\\n - [OpenTelemetry Demo repository](https://github.com/opensearch-project/opentelemetry-demo)\\n - [OTEL services Dashboard Installation Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n - [OTEL Demo Architecture](https://github.com/opensearch-project/opensearch-catalog/blob/main/integrations/observability/otel-services/info/OTEL%20Demo%20Architecture.md)\"}}"}, "id": "1afe2a50-3e38-11ef-a07c-d3f2df91ca50", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-09T21:21:23.913Z", "version": "WzI4LDJd"} {"attributes": {"description": "OpenTelemetry Getting Started instructions for running locally the OpenTelemetry-Demo web-store application and ingesting the telemetry into opensearch", "hits": 0, "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"language\":\"kuery\",\"query\":\"\"},\"filter\":[]}"}, "optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}", "panelsJSON": 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started\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Getting Started\\nGetting started with the OTEL demo including running the OpenSearch Server and Dashboard.\\n\\n`docker-compose up -d` starts all the services and initiates the load-generator activity for synthetically creating user activity on the demo web store.\\n\\nThe following web-pages can be directly access to review the load generator\\n- http://localhost:8089/\\n\\n- Here the synthetic testing process can be started\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/blob/main/tutorial/img/load-generator.png?raw=true)\\n\\nThe following web-pages can be directly access to actually simulate store purchase\\n- http://localhost:8080/ (front-end) OR http://localhost:90 (nginx-forntend proxy)\\n- Here the actual shop demo can be used (simulated demo shop ...)\\n\\n![](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/demo-app.png)\\n\\n\\n---\\n\\n## Logging In Dashboard\\n\\nOnce all services are up and running - log-in to the Dashboard and enter the next credentials\\n\\n**User: `admin` | Password: `my_%New%_passW0rd!@#`**\\n\\n- http://localhost:5601/\\n- OpenSearch Dashboard login\\n\\n![dashboard-login.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-login.png)\\n\\n## Store URLs in session storage\\nEnable Store URLs in session storage for allowing to view and edit Vega based visualizations\\n- Once logged in, go to [Advanced Setting](http://localhost:5601/app/management/opensearch-dashboards/settings)\\n ![store-url-in-session.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/store-url-in-session.png)\\n\\n## Installing OTEL Services Demo\\n\\nInstall OpenTelemetry Dashboards workflow - navigate to the [Observability Catalog Release Page](https://github.com/opensearch-project/opensearch-catalog/blob/main/docs/integrations/Release.md) sections and select the [Otel Services Dashboards 1.0.0 Release](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)\\n- Go to the Dashboard Management and select `Saved Objects`\\n- Select the `Import` Icon and choose the Otel Services Dashboards 1.0.0 Release file\\n- In the import Dialog: Check for existing objects, Automatically overwrite conflicts and press the import button\\n\\nThis will load all the OpenTelemetry Services flow dashboards and you can immediately navigate to any of the imported dashboards and monitor the ingested telemetry data.\\n> _For detailed instructions see [here](https://github.com/opensearch-project/opensearch-catalog/releases/tag/otel_services_dashboard-1.0.0)_\\n\\n![integration-otel-services-setup.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/dashboard-mng.png)\\n\\n![integration-otel-services-dashboards.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/import-savedObj.png)\\n\\n\\n## Ingestion Rate Dashboard\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n\\n![otel-ingestion-rate-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/otel-ingestion-rate-dashboard.png)\\n\\n## Services High Level Dashboards View\\nThis dashboard show the 3 signals ingestion rate as they are shipped via data-prepper into OpenSearch indices\\n![services-general-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/services-general-dashboard.png)\\n\\n## Single Service Details Dashboards View\\nThis dashboard show the specific service details including associated high level view of the metrics collected for the service\\n![specific-service-dashboard.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/specific-service-dashboard.png)\\n\\n## Service Metrics View\\n\\n### Service Metrics system projection Dashboards\\nThis dashboard show the specific service details in particular the system related metrics collected for the service\\n\\n![amp-services-system-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-system-metrics-details.png)\\n\\n### Service Metrics network projection Dashboards\\nThis dashboard show the specific service details in particular the network related metrics collected for the service\\n\\n![amp-services-network-metrics-details.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/amp-services-network-metrics-details.png)\\n\\n## Trace Analytics\\nTraces can also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/traces)\\n![traces-analytics-dialog.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog.png)\\n- showing a table of traces with their duration/errors rates\\n\\n![traces-analytics-dialog-spans.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/traces-analytics-dialog-spans.png)\\n- showing a specific trace's spans water fall chart\\n---\\n## Services Analytics\\nServices can be also be seen using the following [menu-item](http://localhost:5601/app/observability-traces#/services)\\n\\n![service-analytics-dialog-list.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-list.png)\\n- showing the table of services including their Group /Avg Duration / Errors\\n\\n![service-analytics-dialog-services_map.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-services_map.png)\\n- showing the service map graph with the services relationships\\n\\n![service-analytics-dialog-trace_group.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/service-analytics-dialog-trace_group.png)\\n- showing the services trace-group charts according to Avg Duration / Traces-Error rates / Traces Request rates\\n\\n\\n---\\n## Metrics Analytics\\n\\n### Setting Up Prometheus `datasource`\\n- First [setup](http://localhost:5601/app/datasources#/new) the Prometheus datasource we wanted to connect with\\n ![configure-prometheus-datasource.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/configure-prometheus-datasource.png)\\n\\n### Query Prometheus OTEL metrics\\n- [Select the OTEL metrics](http://localhost:5601/app/observability-metrics#/) (Prometheus / OpenSearch) we want to display\\n ![metrics-analytics-prometheus.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus.png)\\n ![metrics-analytics-prometheus-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-prometheus-select-metrics.png)\\n\\n### Query OpenSearch OTEL metrics\\n- Select the `ss4o_metrics-*-*` based index to view the OTEL metrics stored in OpenSearch:\\n ![metrics-analytics-opensearch-otel-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics.png)\\n ![metrics-analytics-opensearch-otel-metrics-select-metrics.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/metrics-analytics-opensearch-otel-metrics-select-metrics.png)\\n\\n## Discover - Log Exploration\\n- [Discover](http://localhost:5601/app/data-explorer/discover) the OTEL logs stored inside OpenSearch\\n ![logs-discovery-otel.png](https://github.com/opensearch-project/opentelemetry-demo/raw/main/tutorial/img/logs-discovery-otel.png)\"}}"}, "id": "dc346ca0-48ad-11ef-9e1e-9fe5e67444b8", "migrationVersion": {"visualization": "7.10.0"}, "references": [], "type": "visualization", "updated_at": "2024-07-23T04:41:43.274Z", "version": "WzE2MSw4XQ=="} {"attributes": {"description": "Otel demo tutorial getting started dashboard", "hits": 0, "kibanaSavedObjectMeta": {"searchSourceJSON": "{\"query\":{\"language\":\"kuery\",\"query\":\"\"},\"filter\":[]}"}, "optionsJSON": "{\"hidePanelTitles\":false,\"useMargins\":true}", "panelsJSON": 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