Serverless Compute at the Heart of Your EDA
summary
Compares Lambda and ECS on Fargate with concrete limits and demos: Lambda scales to 10,000 concurrent invocations within minutes, supports event source mappings (SQS, Kinesis, DynamoDB) and scales to zero, while Fargate runs long jobs and heavy memory workloads like a 30 GB Fargate task started from EventBridge + Step Functions. Shows a file-processing pipeline that chooses Lambda for small images and Fargate for large files, explains pricing tradeoffs and when to prefer event-driven containers versus functions.
AI-written summary · about
chapters (13)
- 0:00Intro
- 2:16Serverless at scale
- 10:12Serverless compute
- 12:04Demo: Lambda function scaling
- 12:37Lambda function scaling
- 14:16Demo: Lambda function scaling
- 16:14Lambda event source mapping
- 17:57Amazon ECS on AWS Fargate
- 24:05EDA patterns using containers
- 27:06Demo: File processing - Lambda & Fargate
- 29:59Which serverless compute option is right for my app?
- 39:24The road ahead
- 40:04Outro
related talks
51mServerless Compute at the Heart of Your EDA
47mServerless Compute at the Heart of Your EDA
43mBringing EDA to the Containers World
33mContainers and AWS Lambda: Choose the optimal compute for applications
41mContainers or Serverless Functions - When to choose what?
27mLeveraging AWS Fargate for running cost-friendly containerized application
35mContainers and AWS Lambda: Choosing optimal compute for modern apps
37mIntelligent Serverless and Scalable Real-Time Data Pipeline using Kinesis, Fargate and CFN
