This project monitors AWS Lambda errors using CloudWatch metrics and runs within a Kubernetes pod. It fetches error counts for one or more Lambda functions and reports their health. If Lambda errors exceed a predefined threshold, the app signals Kubernetes to mark the pod as unhealthy via liveness and readiness probes.
- Monitors Lambda error count via CloudWatch metrics.
- Tracks errors for a specified Lambda function or all Lambda functions.
- Uses Kubernetes liveness and readiness probes to report health status.
- Automatically restores healthy status when errors fall below the threshold.
- Docker
- Kubernetes Cluster
- AWS credentials with access to CloudWatch
The following environment variables are used to configure the behavior of the app:
| Variable | Description | Default |
|---|---|---|
DEFAULT_FUNCTION_NAME |
The Lambda function name to monitor. Monitors all if empty | None |
MAX_ERROR_COUNT |
Maximum allowed Lambda errors before marking unhealthy | 20 |
ERROR_WINDOW_MINUTES |
Time window (in minutes) to count Lambda errors | 10 |
POLL_INTERVAL_SECONDS |
Time between each CloudWatch poll (in seconds) | 5 |
AWS_REGION |
AWS region of the Lambda functions | eu-west-1 |
AWS_ACCESS_KEY_ID |
Your AWS Access Key Id, (Skip if using IAM Roles) | |
AWS_SECRET_ACCESS_KEY |
Your AWS Secret Access Key(Skip if using IAM Roles) |