Serverless
CoreAWS Lambda
Event-driven function compute that scales through concurrency without customers managing servers.
Key points
- Lambda fits compatible runtimes, execution duration, event models, and ephemeral execution; durable state belongs outside the function.
- Memory selection affects available compute resources, so tune by measured duration and total work.
- Concurrency, retries, event-source semantics, connection pressure, and downstream limits are architecture responsibilities.
Best-known use cases
- Process events or API requests with short-lived functions.
- Run intermittent automation without idle servers.
What candidates often confuse it with
- Lambda runs functions; Fargate runs containers and EC2 provides host control.
- Lambda scales rapidly; SQS can buffer work to protect downstream dependencies.
Key takeaway
Choose Lambda for compatible event functions, then control concurrency and externalize state.
Related services
- Amazon API Gateway
- Amazon SQS
- AWS Step Functions
- AWS Fargate
Relevant exam tasks
- D2.1
- D3.2
- D4.2