Increase resources for Celery

[BenjaminSsempala]

Description

Increase resources for Celery

Summary by CodeRabbit

• New Features
  • Increased resource limits for improved performance and scalability of the application.
    • CPU limit raised to enhance processing capabilities.
    • Memory limit increased to support higher workloads.

[coderabbitai]

Walkthrough

Walkthrough

The changes in the pull request involve adjustments to the resource limits defined in the k8s/workflows/values-prod.yaml file. Specifically, the CPU limit has been increased from 1500m to 3000m, and the memory limit has been raised from 3000Mi to 4000Mi. These modifications reflect an update in resource allocation for a component within a Kubernetes environment.

Changes

File	Change Summary
k8s/workflows/values-prod.yaml	- CPU limit changed from 1500m to 3000m
	- Memory limit changed from 3000Mi to 4000Mi

Possibly related PRs

• Update/implement celery k8s executor #3393: This PR modifies resource allocation settings in k8s/workflows/values-prod.yaml, including increases in CPU and memory requests, which is directly related to the changes made in the main PR regarding resource limits.

In the land of Kubernetes, where resources flow,
Limits were raised, to help services grow.
From 1500 to 3000, the CPU now thrives,
And memory's boost keeps the app alive!
With each little tweak, our systems align,
Scaling up smoothly, everything's fine! 🌟

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Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 056ffea and 65109ab.

Files selected for processing (1)

• k8s/workflows/values-prod.yaml (1 hunks)

Additional comments not posted (1)

k8s/workflows/values-prod.yaml (1)

37-38: Looks good! The increased resources should enhance Celery's performance.

The changes align with the PR objective of increasing resources for Celery. Doubling the CPU limit and increasing the memory limit by 33% should allow Celery to handle more tasks concurrently and improve its overall performance.

A few additional points to consider:

1. Monitor the resource usage and performance metrics after deploying these changes to ensure they have the desired effect and don't cause any unexpected issues.
2. Be mindful of the potential impact on the overall resource utilization and cost of the Kubernetes cluster. Ensure that the cluster has sufficient capacity to accommodate these increases.
3. Consider documenting the rationale behind these specific resource limit values (3000m CPU and 4000Mi memory) for future reference and to help with capacity planning.

Great work on optimizing Celery's resource allocation! Let me know if you have any further questions or if there's anything else I can assist with.

---

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 30.34%. Comparing base (bf1b0f8) to head (65109ab).
Report is 13 commits behind head on staging.

Additional details and impacted files

@@             Coverage Diff             @@
##           staging    #3437      +/-   ##
===========================================
+ Coverage    30.21%   30.34%   +0.12%     
===========================================
  Files          184      184              
  Lines        24550    24551       +1     
  Branches      3220     3220              
===========================================
+ Hits          7418     7449      +31     
+ Misses       17018    16988      -30     
  Partials       114      114              

see 4 files with indirect coverage changes

[NicholasTurner23]

Thanks