The document discusses optimizing Lambda functions for performance. It covers Lambda performance basics like memory and CPU configurations. It also discusses billing based on memory and duration. The key to optimization is starting with code optimizations, then testing increasing memory to allow for more CPU. Tools like AWS Lambda Power Tuning and AWS Lambda Live Tuner can help test functions on real events to evaluate performance at different memory configurations.

1. Optimizing Lambda
Functions
on real events

2. 1 - Lambda Performance Basics

3. Lambda Performance Basics
Memory
- 128 MB to 10.240 MB
- Explicitly configured
CPU
- 1 vCPU for 1.769 MB Memory
- Implicitly configured via memory

4. 2 - Lambda Billing Basics

5. Lambda Billing Basics
Memory
- xx USD / GB-Second
- Dimensions
- Memory in GB
- Duration in Seconds
Invocations
- xx USD / 1 Million invocations
- Dimensions
- Invocations

6. Cost
Performance
High memory / Low duration
=
Low memory / High duration

7. 3 - Performance Optimization

8. Start from the
inside
Optimize code first

10. Optimizing
Memory
More vCPU can speed up
Increase memory and rerun

11. 3 - Automatic Optimization

12. AWS Lambda Power Tuning
- Powered by AWS Step Functions
- Customization with Pre/Post-processing Functions
- Allows detailed configuration
- Creates versions and aliases for testing
github.com/alexcasalboni/aws-lambda-power-tuning

13. Real Events?
Testing Lambdas requiring
changing events

14. AWS Lambda Live Tuner
- CLI Tool
- Simple / limited configuration
- Testing on real events
- Uses unpublished version or production alias
github.com/janritter/aws-lambda-live-tuner

15. AWS Lambda Live Tuner - Steps
1. Change memory to the next test value
2. Check the logs for n invocations with the memory value
3. Continue with 1 if not all configurations were tested
4. Reset memory to pre-test value

16. 4 - Tech Demo

20. ?
Q/A
github.com/janritter/aws-lambda-live-tuner
hachyderm.io/@jan0ritter
twitter.com/jan0ritter
janri.de