Learn AWS-LAMBDA with Real Code Examples

Lambda runs code in ephemeral containers managed by AWS

Event sources trigger function execution

Automatic scaling handled by AWS infrastructure

Functions can be stateless or access persistent storage via AWS services

Logs sent to CloudWatch automatically

Event -> Lambda container execution

Code executes in ephemeral container

Access AWS services as needed

Return response or trigger downstream events

Logs sent to CloudWatch for observability

Function-as-a-Service

Event-driven triggers

Stateless execution with external storage

Orchestration via Step Functions

Integration with AWS services

Serverless REST API backend

Event-driven ETL pipelines

S3-triggered file processing

Microservice orchestration via Lambda + Step Functions

Scheduled batch processing with CloudWatch

Serverless FaaS model

Event-driven execution

Automatic scaling and concurrency management

Pay-per-use billing

Integration with AWS ecosystem

AWS handles automatic scaling based on request volume

Monitor and adjust concurrency limits

Use provisioned concurrency to reduce cold-starts

Integrate with Step Functions for complex workflows

Track metrics via CloudWatch for optimization

Adapt from traditional servers or containers to Lambda functions

Replace cron jobs with CloudWatch scheduled events

Use AWS services for state instead of local memory

Test each function independently

Leverage IAM roles and AWS managed services