feat(website): Reduce Cloud Run CPU allocation from 2 to 1 #809
Conversation
This change optimizes resource usage for the website server by reducing the CPU allocation in the Cloud Run deployment configuration. The change should maintain adequate performance while reducing operational costs.
|
Caution Review failedThe pull request is closed. WalkthroughCloud Run deployment configuration in website/server/cloudbuild.yaml updates the CPU allocation for the deploy step from 2 vCPU to 1 vCPU. All other parameters remain unchanged. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
Tip 🔌 Remote MCP (Model Context Protocol) integration is now available!Pro plan users can now connect to remote MCP servers from the Integrations page. Connect with popular remote MCPs such as Notion and Linear to add more context to your reviews and chats. 📜 Recent review detailsConfiguration used: Path: .coderabbit.yaml Review profile: CHILL Plan: Pro 💡 Knowledge Base configuration:
You can enable these sources in your CodeRabbit configuration. 📒 Files selected for processing (1)
✨ Finishing Touches🧪 Generate unit tests
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
SupportNeed help? Create a ticket on our support page for assistance with any issues or questions. CodeRabbit Commands (Invoked using PR/Issue comments)Type Other keywords and placeholders
Status, Documentation and Community
|
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
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 aims to optimize operational costs for the website server by reducing the CPU allocation in its Cloud Run deployment configuration from 2 to 1. This change is intended to maintain adequate performance while achieving cost savings.
Highlights
- Cost Optimization: Reduced the CPU allocation for the website server's Cloud Run deployment from 2 to 1, aiming to lower operational costs.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.
| Feature | Command | Description |
|---|---|---|
| Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
| Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
| Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
| Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
There was a problem hiding this comment.
Code Review
This pull request reduces the Cloud Run CPU allocation from 2 to 1 in the cloudbuild.yaml file to lower operational costs. While the change is simple and achieves its cost-saving goal, reducing CPU resources by half introduces a significant performance risk. I have added a high-severity comment highlighting the potential for increased latency or request timeouts and recommending that this change be validated through performance testing or followed by close monitoring post-deployment to ensure service stability.
| @@ -38,7 +38,7 @@ steps: | |||
| - '--memory' | |||
| - '1024Mi' | |||
| - '--cpu' | |||
| - '2' | |||
| - '1' | |||
There was a problem hiding this comment.
Halving the CPU allocation from 2 to 1 is a significant change that introduces a risk of performance degradation, potentially leading to increased request latency or timeouts under heavy load. A change of this nature should be supported by performance testing data to ensure service level objectives (SLOs) can still be met. I strongly recommend either conducting load tests to validate this change before merging or implementing enhanced monitoring of CPU utilization, instance count, and request latency (p95/p99) immediately following deployment to quickly detect and mitigate any negative impact on performance.
There was a problem hiding this comment.
Pull Request Overview
This PR optimizes the Cloud Run deployment configuration for the website server by reducing CPU allocation from 2 to 1 to achieve cost savings while maintaining adequate performance.
- Reduces CPU allocation from 2 cores to 1 core in the Cloud Run configuration
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #809 +/- ##
=======================================
Coverage 87.41% 87.41%
=======================================
Files 113 113
Lines 6493 6493
Branches 1331 1331
=======================================
Hits 5676 5676
Misses 817 817 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
This PR reduces the CPU allocation from 2 to 1 in the Cloud Run deployment configuration for the website server. This optimization helps reduce operational costs while maintaining adequate performance for the website.
Changes
website/server/cloudbuild.yamlto change CPU allocation from2to1Checklist
npm run testnpm run lint