Fixing health check and bumping up autoscaling limits

[shreyas-ram]

✨ Codu Pull Request 💻

Pull Request details

• Fixing health check urls
• Bumping up Autoscaling limits on the ECS service

Any Breaking changes

• No breaking changes

Summary by CodeRabbit

• Refactor
  • Updated health check paths and scaling parameters for improved service performance and resource utilization.

[vercel]

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[coderabbitai]

Walkthrough

The recent update involves optimizing a Fargate service in the cloud infrastructure codebase. It adjusts the health check path for the service's target group based on the environment and fine-tunes CPU and memory scaling target percentages for improved resource utilization.

Changes

File Path	Change Summary
cdk/lib/app-stack.ts	Changed health check path for fargateService.targetGroup; Updated CPU and memory scaling targets.

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[github-actions]

Hello @shreyas-ram, thanks for opening your first Pull Request. The maintainers will review this Pull Request and provide feedback as soon as possible. Keep up the great work!

[vercel]

The latest updates on your projects. Learn more about Vercel for Git ↗︎

Name	Status	Preview	Comments	Updated (UTC)
codu	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Feb 28, 2024 5:37pm

[coderabbitai]

Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between a7854c4 and 7fa5de2.

Files selected for processing (1)

• cdk/lib/app-stack.ts (2 hunks)

Additional comments: 3

cdk/lib/app-stack.ts (3)

• 236-236: The health check path is dynamically set based on the production flag. This is a good practice as it allows for environment-specific configurations. However, ensure that the URLs provided (https://www.codu.co/api/health for production and https://www.dev1.codu.co/api/health for non-production) are correct and reachable. It's also important to verify that the health check configuration aligns with the expected behavior of the health endpoint in both environments.
• 250-250: The target utilization percentage for CPU scaling is set to 90%. This is a significant change that could impact the responsiveness and cost of the service. While a high target utilization can lead to cost savings by running fewer tasks, it might also risk performance under high load. Consider evaluating this threshold in the context of the application's typical and peak loads to ensure it strikes the right balance between cost and performance.
• 254-254: Similar to the CPU scaling configuration, the target utilization percentage for memory scaling is set to 90%. This high threshold could potentially lead to memory pressure and performance degradation if not carefully monitored. It's crucial to assess the memory usage patterns of the application and adjust this setting based on empirical data to avoid out-of-memory errors or excessive scaling actions that could impact cost and stability.

[coderabbitai]

Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between 7fa5de2 and 7ae20b3.

Files selected for processing (1)

• cdk/lib/app-stack.ts (2 hunks)

Files skipped from review as they are similar to previous changes (1)

• cdk/lib/app-stack.ts