fix(website): Reduce Cloud Run memory allocation to 1024Mi#797
fix(website): Reduce Cloud Run memory allocation to 1024Mi#797
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Reduce memory allocation from 2048Mi to 1024Mi to optimize resource usage and costs for the website server deployment.
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Caution Review failedThe pull request is closed. WalkthroughReduces the Cloud Run memory allocation in the Deploy to Cloud Run step of website/server/cloudbuild.yaml from 2048Mi to 1024Mi. No other fields are changed. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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Summary of Changes
Hello @yamadashy, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request focuses on optimizing the resource allocation for the website server's Cloud Run deployment. The primary goal is to reduce operational costs by decreasing the memory allocated to the server, while ensuring that the website's performance remains unaffected. This change is a strategic step towards more efficient infrastructure management.
Highlights
- Cloud Run Memory Allocation: The memory allocated to the website server's Cloud Run deployment has been reduced from 2048Mi to 1024Mi.
- Cost Optimization: This adjustment is aimed at optimizing resource usage and reducing infrastructure costs associated with the website server.
- Performance Expectation: The website server is expected to continue operating efficiently with the reduced memory, ensuring no impact on performance.
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Code Review
This pull request reduces the memory allocation for the Cloud Run service from 2048Mi to 1024Mi to optimize costs. The change is straightforward and aligns with the goal of resource optimization. I've added a suggestion to also consider reducing the CPU allocation from 2 to 1, which could provide additional cost savings if the application's performance profile allows for it. Overall, this is a good infrastructure tuning effort.
| - '2048Mi' | ||
| - '1024Mi' | ||
| - '--cpu' | ||
| - '2' |
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With the memory being reduced to 1024Mi, the 2 vCPUs might be underutilized, especially since Node.js applications are typically single-threaded. To further optimize costs, consider reducing the CPU allocation to 1. This would align resource allocation more closely and could reduce costs without impacting performance, assuming the application is not CPU-bound.
- '1'
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #797 +/- ##
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Coverage 87.49% 87.49%
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Files 113 113
Lines 6437 6437
Branches 1316 1316
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Hits 5632 5632
Misses 805 805 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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1 participant
This PR reduces the memory allocation for the website server Cloud Run deployment from 2048Mi to 1024Mi to optimize resource usage and reduce costs.
The website server should work efficiently with 1024Mi of memory, and this change will help reduce infrastructure costs without affecting performance.
Checklist
npm run testnpm run lint