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Microservices patterns in Serverless Slide 1 Microservices patterns in Serverless Slide 2 Microservices patterns in Serverless Slide 3 Microservices patterns in Serverless Slide 4 Microservices patterns in Serverless Slide 5 Microservices patterns in Serverless Slide 6 Microservices patterns in Serverless Slide 7 Microservices patterns in Serverless Slide 8 Microservices patterns in Serverless Slide 9 Microservices patterns in Serverless Slide 10 Microservices patterns in Serverless Slide 11 Microservices patterns in Serverless Slide 12 Microservices patterns in Serverless Slide 13 Microservices patterns in Serverless Slide 14 Microservices patterns in Serverless Slide 15 Microservices patterns in Serverless Slide 16 Microservices patterns in Serverless Slide 17 Microservices patterns in Serverless Slide 18 Microservices patterns in Serverless Slide 19 Microservices patterns in Serverless Slide 20 Microservices patterns in Serverless Slide 21 Microservices patterns in Serverless Slide 22 Microservices patterns in Serverless Slide 23 Microservices patterns in Serverless Slide 24 Microservices patterns in Serverless Slide 25 Microservices patterns in Serverless Slide 26 Microservices patterns in Serverless Slide 27 Microservices patterns in Serverless Slide 28 Microservices patterns in Serverless Slide 29 Microservices patterns in Serverless Slide 30 Microservices patterns in Serverless Slide 31 Microservices patterns in Serverless Slide 32 Microservices patterns in Serverless Slide 33 Microservices patterns in Serverless Slide 34 Microservices patterns in Serverless Slide 35 Microservices patterns in Serverless Slide 36 Microservices patterns in Serverless Slide 37 Microservices patterns in Serverless Slide 38 Microservices patterns in Serverless Slide 39
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Microservices patterns in Serverless

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For a lot of people serverless = lambda! That's a good start, compute is where everything started for the cloud. But serverless goes beyond just using a bunch of Lambdas in the backend. I & my friend Adithya used to get frustrated at answering repetitive questions from other friends challenging serverless. So we thought, instead of talking about low hanging fruits which can be done in serverless, let's challenge ourselves into trying to implement what 'we think' would be hard to do on serverless.

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Microservices patterns in Serverless

  1. 1. Refactoring to Serverless Translating common application architecture patterns to serverless on AWS Adithya Reddy & Prashanth HN
  2. 2. Adithya Reddy Who Are We? @TheTallpants github.com/tallpants SDE, Branch Insurance Prashanth HN @prashanth github.com/hnprashanth CTO, WheelsBox
  3. 3. Source: AWS
  4. 4. • External / Centralized Configuration • Circuit Breakers & Retries • Real time / web-sockets • Asynchronous background tasks Just Another Serverless talk? Hell No!
  5. 5. Circuit Breakers & Retries
  6. 6. What’s a Circuit Breaker? Circuit breaker is a design pattern used in modern software development. It is used to detect failures and encapsulates the logic of preventing a failure from constantly recurring, during maintenance, temporary external system failure or unexpected system difficulties
  7. 7. Circuit Breakers • Allow systems to "open" the circuit when constant failures happen repeatedly giving immediate failure responses instead of loading the system. It can later try "half open" and see if the system is functioning fine now and "close" in case things are back to normal, making it self-healing. • Allow us to contain failures and stop them from creating a cascading effect of other parts.
  8. 8. Circuit Breaker Using Lambda Source: https://www.jeremydaly.com/serverless-microservice-patterns-for-aws/
  9. 9. Circuit Breaker Using Step Functions Source: https://tech.trivago.com/2019/04/09/circuit-breaker-with-aws-step-functions/
  10. 10. External / Centralized Configuration
  11. 11. Configuration is immutable for each published version 1. 2.
  12. 12. Config Servers
  13. 13. Source: gocd.org
  14. 14. • Refresh config values while your app is still running. • Your app can choose when to refetch configuration • Per request • Time-based refetch • Etc.
  15. 15. SSM Parameter Store
  16. 16. • Secure hierarchical storage for configuration and secrets • Store as plain text / KMS encrypted strings • Reference by unique name • Version history, access control at key / hierarchy level • Configurable on-change triggers via CloudWatch Events • CloudWatch + CloudTrail • Reference-able asTerraform data source (and CloudFormation – but only specific versions of keys) • Generous free limits (1000TPS free, $0.05 per 10,000TPS)
  17. 17. Hierarchical configuration
  18. 18. Access Control Standard ABAC /Tag based
  19. 19. github.com/tallpants/ssm-parameter-store Safer, nicer abstraction over SSM parameter store with built-in caching, idempotent preloading, TypeScript compile time checks, and handy autocompletion
  20. 20. Asynchronous BackgroundTasks
  21. 21. Limitations of Lambda • Resource limitations of Lambda: storage etc • Lambdas will timeout after 15 minutes • Limitations in tech stack & stack customisation
  22. 22. Amazon ECS
  23. 23. AWS Fargate
  24. 24. Example Architecture – Resize image to multiple sizes
  25. 25. Advantages • SQS can be integrated with almost any kind of service allowing wide set of triggers • Auto-scale without hassle • No infrastructure to manage • Per second billing (min 1 minute) for the resources used, vCPU & memory • Easy to handle failures and retries
  26. 26. RealTime / Web- Sockets
  27. 27. Source: AWS
  28. 28. API Gateway Websocket Endpoint URL wss://… connectionId connectionId
  29. 29. API Gateway Websocket Endpoint URL 4. Body sent to client 3. HTTP POST to /connectionId 2. Get active connectionIds 1. Score update event wss://…
  30. 30. Questions?
  31. 31. Adithya Reddy Who Are We? @TheTallpants github.com/tallpants SDE, Branch Insurance Prashanth HN @prashanth github.com/hnprashanth CTO, WheelsBox

For a lot of people serverless = lambda! That's a good start, compute is where everything started for the cloud. But serverless goes beyond just using a bunch of Lambdas in the backend. I & my friend Adithya used to get frustrated at answering repetitive questions from other friends challenging serverless. So we thought, instead of talking about low hanging fruits which can be done in serverless, let's challenge ourselves into trying to implement what 'we think' would be hard to do on serverless.

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