AWS Lambda: Event-Driven Serverless Guide

AWS LAMBDA

Event-driven serverless compute that scales automatically with zero infrastructure management.

01. The Ingredients

What triggers a Lambda function?

S3 Events

Trigger code when a file is uploaded, modified, or deleted in an S3 bucket.

API Gateway

Create REST or HTTP APIs that trigger Lambda functions for backend logic.

DynamoDB

Capture table-level changes (Streams) to trigger downstream processing.

CloudWatch

Schedule events (CRON) or react to system health alarms automatically.

02. Execution & Scaling

The lifecycle of a serverless request

EVENT SOURCE LAMBDA CODE Runtime Environment AUTO-SCALING DESTINATION
1. Invoke

The event triggers a container spin-up (Cold Start) or uses an existing one (Warm Start).

2. Execute

Code runs in a micro-VM. Memory is allocated from 128MB to 10GB. CPU scales with memory.

3. Destroy

Once the task is complete, the environment is eventually frozen and purged. You pay only for execution time.

03. Scaling Limits

Know your boundaries to avoid bottlenecks

Concurrency

The number of simultaneous requests your function can handle.

Default Limit: 1,000 per Region

Timeout

Maximum time a single execution is allowed to run before being killed.

Max Duration: 15 Minutes

Payload Size

The maximum size of the request and response data (Invocation payload).

Sync / Async: 6MB / 256KB
Pro Tip: Cold Starts

Use “Provisioned Concurrency” to keep functions warm for latency-critical apps.

Pricing Model

Pay per request and duration (GB-seconds). 1 Million free requests per month forever.

Storage

/tmp space available up to 10GB for ephemeral data processing.

AWS Serverless Series

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