Serverless Architectural Patterns and Best Practices

on YouTube ↗49m

" summary

Three concrete serverless patterns with the exact AWS pieces to build them: a web app using API Gateway, CloudFront, Cognito, S3 and Lambda; a data lake on S3 with Glue cataloging, Athena queries and DynamoDB/Elasticsearch indexes; and stream processing with Kinesis, Lambda and Kinesis Analytics for a 60s moving‑average pipeline. Deployment uses SAM plus CodePipeline/CodeDeploy can do canary traffic shifting via Lambda aliases. One benchmark processes 170 GB in 45s (≈4 GB/s) to show feasibility.

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" chapters (27)

1. 0:00Intro
2. 2:21Characteristics of Microservice Architectures
3. 6:46Spectrum of AWS offerings
4. 12:02Lambda considerations and best practices
5. 15:50Lambda Best Practices
6. 18:27AWS X-Ray Integration with Serverless
7. 20:00AWS X-Ray Trace Example
8. 20:39AWS Serverless Application Model (SAM)
9. 21:33SAM Local
10. 23:31AWS CodeDeploy and Lambda Canary Deployments
11. 24:54Web application
12. 26:43Serverless web app security
13. 28:48Multi-Region with API Gateway
14. 30:32Serverless Data Lake Characteristics
15. 32:09AWS Serverless Data Lake
16. 34:40The Foundation...53
17. 35:24Search and Data Catalog
18. 36:47Instantly query your data lake on Amazon S3
19. 37:25Analytics and Processing
20. 37:43Athena - Serverless Interactive Query Service
21. 38:22Athena - Best Practices
22. 40:00Serverless batch processing
23. 41:44Stream processing characteristics
24. 42:36Streaming data ingestion
25. 44:38Real-time analytics
26. 46:20Amazon Kinesis Streams and AWS Lambda
27. 47:02Fan-out pattern

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