Advanced Topics
Monitoring CloudQuery


Monitoring CloudQuery can be done in a number of main ways:

  • Logging
  • OpenTelemetry


CloudQuery utilizes structured logging (in plain and JSON formats) which can be analyzed by local tools such as jq, grep and remote aggregations tools like loki, datadog or any other popular log aggregation that supports structured logging.

OpenTelemetry (Preview)

ELT workloads can be long running and sometimes it is necessary to better understand what calls are taking the most time; to potentially optimize those on the plugin side, ignore them or split them to a different workload.

CloudQuery supports OpenTelemetry (opens in a new tab) tracing out of the box and can be enabled easily via configuration.

To collect traces you need a collector that supports OpenTelemetry protocol, for example OpenTelemetry Collector (opens in a new tab). For example you can use Jaeger (opens in a new tab) to visualize and analyze traces.

To start Jaeger locally you can use Docker:

docker run -d \
  -p 16686:16686 \
  -p 4318:4318 \

and then specify in the source spec the following:

kind: source
  name: "aws"
  path: "cloudquery/aws"
  registry: "cloudquery"
  version: "v22.19.2"
  tables: ["aws_s3_buckets"]
  destinations: ["postgresql"]
  otel_endpoint: "localhost:4318"
  otel_endpoint_insecure: true # this is only in development when running local jaeger

After that you can open http://localhost:16686 (opens in a new tab) and see the traces: