Scalability and Performance Considerations
Lambda scales horizontally by increasing concurrent executions.
Key Performance Factors
- Memory allocation (affects CPU power)
- Cold starts
- Downstream bottlenecks
- Timeout configuration
Increasing memory also increases CPU, often reducing execution time.
Timeout Design
Never set maximum timeout blindly.
Design:
- Short-running functions.
- Offload heavy tasks to queues.
- Use asynchronous processing for long workloads.
Protecting Downstream Systems
If Lambda scales rapidly:
- Database connections may be exhausted.
- APIs may fail under load.
Use:
- SQS buffering
- Rate limiting
- Reserved concurrency
Scalability must include system-wide impact, not just Lambda.
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