chore: cap kafka memory to 512Mi - #463
Open
mayankpande88 wants to merge 1 commit into
Open
Conversation
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
Code Review
This pull request adds memory requests and limits of 512Mi to the Kafka component in the Kubernetes sample-app values.yaml. However, capping the container memory to 512Mi without restricting the JVM heap size (which defaults to 1G) will cause Kafka to fail to start or be OOMKilled. It is recommended to explicitly override KAFKA_HEAP_OPTS to a lower value like -Xmx256m -Xms256m to prevent this.
Nudgebee Change GateBlocked
Based on Nudgebee rightsizing recommendations and incident investigations from the last 30 days. |
|
This PR was marked stale due to lack of activity. It will be closed in 7 days. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Reduce kafka memory footprint on the demo cluster.