AWS Lambda Skills#

Architectural patterns for serverless execution and orchestration.

🚀 Core Commands#

Function Lifecycle#

bash

# List all functions with runtime and memory info
aws lambda list-functions --query "Functions[].{Name:FunctionName,Runtime:Runtime,Memory:MemorySize}" --output table

# Invoke a function synchronously with payload
aws lambda invoke --function-name <name> --payload '{"key": "value"}' --cli-binary-format raw-in-base64-out response.json

Deployment & Configuration#

bash

# Update function code via ZIP
aws lambda update-function-code --function-name <name> --zip-file fileb://function.zip

# Update environment variables
aws lambda update-function-configuration --function-name <name> --environment "Variables={KEY=VALUE,ENV=PROD}"

Performance & Scaling#

bash

# Check concurrency limits and usage
aws lambda get-account-settings --query "AccountLimit"

# Put provisioned concurrency (warm start optimization)
aws lambda put-provisioned-concurrency-config --function-name <name> --qualifier <alias> --provisioned-concurrent-executions 5

🧠 Best Practices#

1. Layer Management: Offload heavy dependencies (like FFmpeg or Chromium) into Lambda Layers to keep deployment packages small.
2. Timeout Strategy: Set aggressive timeouts to prevent runaway costs from stuck executions.
3. IAM Execution Role: Ensure the role has exactly the permissions needed for S3/DynamoDB access—no more.
4. Monitoring: Use CloudWatch Insights to trace latencies and cold starts.