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Purpose

gather milvus info for debug and troubleshooting, then upload info when create milvus issue.

  • gather milvus base info: version and milvus deployment name
  • gather milvus goroutine and profile
  • gather milvus pod cpu and mem usage
  • gather milvus important metrics

Metrics collected

  • container_cpu_usage_seconds_total
  • container_memory_working_set_bytes
  • milvus_proxy_sq_latency_bucket
  • milvus_proxy_sq_latency_sum
  • milvus_proxy_sq_latency_count
  • milvus_proxy_mutation_latency_bucket
  • milvus_proxy_mutation_latency_sum
  • milvus_proxy_mutation_latency_count
  • milvus_rootcoord_time_tick_delay
  • milvus_proxy_search_vectors_count
  • milvus_proxy_insert_vectors_count
  • milvus_proxy_req_count

Quickstart

# usage: ./deploy.sh $namespace $release $duration $interval
# namespace: the milvus namespace
# release: the milvus release name
# duration: how long, unit is second
# interval: scrap metric interval,unit is second
$ bash deploy.sh default my-release 300 30

Upload

The above script will generate data.tar.gz file locally. You can upload data.tar.gz file when you create milvus issue.

Diagnose

When user uploaded the data.tar.gz file, we can use it to diagnose issue. The included files are as follows

  • base-info: saved milvus base info,version and milvus deployment name
  • goroutine-.*: saved milvus components goroutine info
  • profile-.*: saved milvus components profile info, can use go tool pprof $profile diagnose the issues
  • metrics-info: saved milvus metrics info

Use prometheus view metrics info

$ mkdir /tmp/data
$ docker run -p 9090:9090 -v /tmp/data:/prometheus prom/prometheus
# https://prometheus.io/docs/prometheus/latest/storage/#backfilling-from-openmetrics-format
$ promtool tsdb create-blocks-from openmetrics metrics-info /tmp/data
# view metric graph on the browser,url is 127.0.0.1:9090

image