Skip to content

Latest commit

 

History

History
89 lines (78 loc) · 4.28 KB

README.md

File metadata and controls

89 lines (78 loc) · 4.28 KB

Local config

  1. Rename the config/main.js.dist to config/main.js
  2. Populate the file
module.exports = {
    'port': process.env.PORT || 3000,  /* Your service port, we suggest 3000 */
    'aws': {
        'region': "us-east-1",  /* You aws region */
        'endpoint': "https://dynamodb.us-east-1.amazonaws.com"  /* Use localhost if you want to test before going live*/
    },
    'twitch': {
        'client_id': "pb61xxxxxxxxxxxxxxxxxxdr9u",  /* You need to have a Twitch App - Get the data in https://dev.twitch.tv/console */
        'client_secret': "jws7xxxxxxxxxxxxxxxxxi0h0ic",  /* You need to have a Twitch App - Get the data in https://dev.twitch.tv/console */
        'redirect_uri': "http://twitc-ecsal-it3rj1p6kk2r-780238624.us-east-1.elb.amazonaws.com/api/v1/users/singup"  /* Twitch redirect url for complete the handshake */
    },
    'profile_redirect': "http://127.0.0.1:5500/frontend/profile.html",  /* Se a url redirection after the login complete */
    'secret': "SUPER-SECRET-VALUE"  /* Make sure to have the same value also in history/config/main.js https://passwordsgenerator.net/ */
};

Deploy the microservices

Create the repo ECR

aws ecr create-repository --repository-name twich-analytica/users

Optional aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <YOUR-AWS_ID>.dkr.ecr.us-east-1.amazonaws.com

Docker, build tag & push

docker build -t twich-analytica/users .

docker tag twich-analytica/users:latest <YOUR-AWS_ID>.dkr.ecr.us-east-1.amazonaws.com/twich-analytica/users:latest

docker push <YOUR-AWS_ID>.dkr.ecr.us-east-1.amazonaws.com/twich-analytica/users:latest

Create a Task definition

  • From the Amazon ECS left navigation menu, select Task Definitions.
  • Select Create new Task Definition.
  • On the Select launch type compatibility page, select the EC2 option then select Next step.
  • On the Configure task and container definitions page, do the following:
    • In the Task Definition Name field, enter users.
    • Scroll down to Container Definitions and select Add container.
    • In the Add container window:
      • Parameters that are not defined can be either left blank or with the default settings.
      • In the Container name field, enter users.
      • In the Image field, enter <YOUR-AWS_ID>.dkr.ecr..amazonaws.com/user:latest
      • In the Memory Limits field, verify Hard limit is selected and enter 256 as the value.
      • Under Port mappings, Host port = 0 and Container port = 3000.
      • Scroll to ENVIRONMENT, CPU units = 256.
      • Scroll to STORAGE AND LOGGING, check Auto-configure CloudWatch Logs
  • Select Add., You will return to the Configure task and container definitions page.
  • Scroll to the bottom of the page and select Create.

Configure the load balancer with targets groups

aws elbv2 create-target-group \
   --name users \
   --region <YOUR-REGION>\
   --port 80 \
   --protocol HTTP \
   --target-type Instance \
   --vpc-id <YOUR-VPC-ID> \
   --health-check-interval-seconds 30 \
   --health-check-path /api/v1/users \
   --health-check-protocol HTTP \
   --healthy-threshold-count 5 \
   --unhealthy-threshold-count 2

Create a Service in ECS

  • Navigate to the Amazon ECS console and select Clusters from the left menu bar.
  • Select you cluster, select the Services tab then select Create.
  • On the Configure service page, edit the following parameters (and keep the default values for parameters not listed below):
    • For the Launch type, select EC2.
    • For the Task Defintion, select users.
    • For the Service name, enter users.
    • For the Number of tasks, enter 1.
    • Select Next step.
  • On the Configure network page, Load balancing section, select Application Load Balancer
  • In the Container to load balance section, select users:3000 and then Add to load balancer.
    • In the users:3000 section, do the following:
    • For the Production listener port field, select 80:HTTP.
    • For the Target group name, select your group: users.
    • Select Next step.
  • On the Set Auto Scaling page, leave the default setting and select Next step.
  • On the Review page, review the settings then select Create Service.
  • After the service has been created, select View Service.