~/talk

Advanced Serverless Architectural Patterns on AWS

Talkat Heapcon 2019 · 2019-10-03..10-04· [serverless]
slides:none on file

Claims that serverless removes servers and scale to zero while charging by 100ms and that cold starts are a few hundred milliseconds via Firecracker microVMs. Uses AWS Lambda, API Gateway, CloudFront/Lambda@Edge, DynamoDB, Kinesis Firehose/Streams, Step Functions, Rekognition/Transcribe/Comprehend and Athena. Shows an Athena query: 170GB → 44s → $0.85 and a Lambda power‑tuning tool to pick memory (128MB–3GB) for cost/perf. Describes a working pipeline: S3 triggers → Step Functions orchestration → parallel Rekognition/Transcribe/MediaConvert → store in Elasticsearch/DynamoDB, deployable via CloudFormation.

AI-written summary · about

  1. 0:00Start
  2. 1:47About me
  3. 2:24Agenda
  4. 7:53Compute Spectrum
  5. 9:58Serverless means...
  6. 12:11Lambda: The execution lifecycle
  7. 13:19Tune your function's resources
  8. 15:40AWS Serverless Application Model (SAM)
  9. 16:27AWS code services
  10. 17:20Web application (1)
  11. 19:46Web application (2)
  12. 23:32Choose the right API endpoint type
  13. 23:54Serverless web app security
  14. 26:40Lambda authorizers
  15. 29:59Streaming data ingestion (HTTP)
  16. 30:17Streaming data ingestion (at the edge)
  17. 31:05Kinesis Data Streams and Lambda
  18. 32:03Fan-out pattern
  19. 33:00Real-time analytics
  20. 34:19Kinesis Data Analytics
  21. 35:10Data lake characteristics
  22. 36:28Serverless data lake
  23. 37:02How to "serverlessly" query your data lake
  24. 37:45Athena - Just SQL (presto)
  25. 39:30Athena best practices
  26. 40:37THE AWS ML STACK
  27. 41:55Image processing with Amazon Rekognition Image
  28. 43:16Media analysis solution
  29. 44:44Amazon Connect
  30. 45:02Intelligent call center chatbot
  31. 46:05Call center analytics
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