Deploy Kubernetes: Set resource limits for destination and source pods

  • Is this your first time deploying Airbyte?: No / Yes
  • OS Version / Instance: Ubuntu, Windows or MacOS… are some example remove it with yours
  • Memory / Disk: you can use something like 4Gb / 1 Tb
  • Deployment: Are you using Docker or Kubernetes deployment?
  • Airbyte Version: What version are you using now?
  • Source name/version:
  • Destination name/version:
  • Step: The issue is happening during sync, creating the connection or a new source?
  • Description:

I have airbyte deployed on GKE cluster using helm chart.
The destination-snowflake-worker pod is consuming lot of resources
cpu: 1500m
memory: 6Gi
cpu: 1200m
memory: 4Gi

How can I modify it?
I have not specified these numbers in values.yaml or the environment variables.

Hi @Rakhi_Modi, here’s a link to our documentation regarding setting resource limits on connector pods: Let me know if it answers your question.