This chapter teaches how to integrate Lambda with other AWS services and tune functions for reliability, performance, and cost-efficiency. You'll learn how to use the AWS SDK safely with least-privilege permissions, how concurrency settings protect downstream systems, how to reduce cold-start and runtime latency, and how to deploy safely with versions, aliases, and traffic shifting.
Exercise 1: Integrating Lambda with AWS servicesExercise 2: Using the AWS SDK in a Lambda handlerExercise 3: Least-privilege IAM for SDK callsExercise 4: Check your understanding: triggers vs SDK callsExercise 5: Scaling and concurrency controlsExercise 6: Reserved concurrency and throttlingExercise 7: Choosing the right concurrency controlExercise 8: Check your understanding: estimating concurrencyExercise 9: Performance tuning and optimization techniquesExercise 10: Connection reuse across invocationsExercise 11: Memory, CPU, and cost trade-offsExercise 12: Check your understanding: init vs handler workExercise 13: Versions, aliases, and traffic shiftingExercise 14: Publishing Lambda versionsExercise 15: Creating an alias as a stable pointerExercise 16: Weighted routing for canary deploys