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2019 06-12-aws taipei summit-dev day-essential capabilities behind microservices

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2019 06-12-aws taipei summit-dev day-essential capabilities behind microservices

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Leverage AWS to support the technical implementation, all you need to do is crunching domain knowledge with domain experts, and keep the transformation in baby step, form up boundary incrementally.

Leverage AWS to support the technical implementation, all you need to do is crunching domain knowledge with domain experts, and keep the transformation in baby step, form up boundary incrementally.

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2019 06-12-aws taipei summit-dev day-essential capabilities behind microservices

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Essential Capabilities behind Microservices Kim Kao Solutions Architect Amazon Web Services D e v D a y - 2 Domain Driven Design(DDD Taiwan)
  2. 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T The new normal: companies are increasingly global and products are increasingly digital 47% of CEOs said they are being challenged by the board of directors to make progress in digital business Source: Gartner 79% of CIOs believe that digital business is making their IT organizations better prepared to change 67% of all business leaders believe that they must pick up the pace of digitalization to remain competitive
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Why are enterprises adopting microservices? • Accelerate software development • Build modern applications • Automate operations at web scale © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T To maintain competitive advantage, digital businesses must innovate as rapidly as possible FeedbackIdeas Experiment Innovation Flywheel
  5. 5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Manager - “We are going to run workload(s) on AWS. We have new sub-systems/module to develop with legacy services. Container is good, Lambda is awesome. It’s great to have whole cloud native advantage if you guys migrate all service into microservice, serverless...” Developer(s) - “Not a problem. I’ll make it …” A typical day for customer ...
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Jump into real world... https://vaughnvernon.co/tag/event-storming/ (Earn money as usual) (will it run as usual?)
  7. 7. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T When the impact of change is small, release velocity can increase Monolith Does everything Microservices Do one thing
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T 100/200/300/1000? LOC Code matters?
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AWS FargateAmazon Elastic Container Service Amazon Elastic Container Service for Kubernetes Docker Containers is Microservices?
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Domain Driven Design Fit in • Standalone computing & persistence • Serve for specific business intentions • Business Capability in bounded Context • Embrace Rapidly Change • Automate operations at web scale • Engineering Decoupling Microservices stand for ...
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Mobile client Client IoT Computing in variety platform API Gateway Account DB Shipping DB Inventory DB Store Front Web App Shipment Query Inventory Query
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Relational Referential integrity, ACID transactions, schema- on-write Lift and shift, ERP, CRM, finance Key-value High throughput, low- latency reads and writes, endless scale Real-time bidding, shopping cart, social, product catalog, customer preferences Document Store documents and quickly access querying on any attribute Content management, personalization, mobile In-memory Query by key with microsecond latency Leaderboards, real-time analytics, caching Graph Quickly and easily create and navigate relationships between data Fraud detection, social networking, recommendation engine Time-series Collect, store, and process data sequenced by time IoT applications, event tracking Ledger Complete, immutable, and verifiable history of all changes to application data Systems of record, supply chain, health care, registrations, financial Amazon QLDB Amazon Aurora Amazon RDS Amazon DynamoDB Amazon DocumentDB Amazon ElastiCache Amazon Neptune Amazon Timestream Choose right one to support Microservices
  14. 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Challenges (dealing with transaction, service lookup) (priority, customer expectation) (by noun, organization, experience?) (CRM, ERP, Payment Gateway ...) (self employee, out sourcing, ISV)
  15. 15. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  16. 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (priority, market expectation) Domain Expert Matters
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Strategies for Dealing with Legacy Systems • Bubble Context • Place your new functionality in a bubble and have repositories as an anti-corruption layer(ACL) toward the legacy code and data. • Autonomous Bubble • Start a new chapter OUTSIDE the legacy code with its own storage. Thus we need to synchronize ACL and similar information that you shares with the legacy system • Open Host Services in Published Language • Expose legacy assets through an open host service. Using an anti-corruption layer to convert the necessary information to the new system • Event Streams • The systems communicate trough events. The anti-corruption layer now publishes the event and monitor the state of the other system. The solution is similar to event sourcing. (priority, customer expectation)
  18. 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (dealing with transaction, service lookup) Monolith Does everything Per Service Do only one thing Business matters Immutable facts - Order Created - Coupon applied - Account Registered Intention Business behavior - Create an Order - Apply Coupon - Register an Account Responsible for Capabilities - Order - Discount - Identity Management Accept & process Presentation Model Help to make decision Composite data type
  19. 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (dealing with transaction, service lookup) Monolith Does everything Per Service Do only one thing
  20. 20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Microservices candidate – Bounded Context • Per Bounded Context form up system Boundary • One Bounded Context may • Contains multiple co-related Aggregates • Or only one Aggregate with Specific business capability (dealing with transaction, service lookup)
  21. 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
  22. 22. DevicesDB External Interfaces UI WebControllers Use Cases Entities Gatew ays Presenters
  23. 23. QLDBRDS SNS, SQS, SMS Messaging UI S3 Static page ELB ingress Use Cases Entity (Aggregate) APIGatew ay Quicksight Blockchain Tim e DB Aggregate Dynamodb
  24. 24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (dealing with transaction, service lookup) Observability & traffic control Easily export logs, metrics, and traces Client side traffic policies—circuit breaking, retries Routes for deployments Works across clusters and container services Amazon ECS Amazon EKS Kubernetes on EC2 AWS Fargate AWS built and run No control plane to manage Ease of operations High scale
  25. 25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (dealing with transaction, service lookup) • Are you ready to deal with M:N transaction compensation ? • Are you ready to embrace the rapidly change by contract ?
  26. 26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Transaction Dependencies between Microservices • Upstream-Downstream co-relationship • One Transaction invoke local API and Remote API Book Rental Service Book Flight Service Trip Service Book Hotel Service Exception / Error ? Exception / Error ? Exception / Error ? !" # !$ # !# # + + Transaction Compensate
  27. 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Saga : Alternative for 2 Phase -commit
  28. 28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Context • You have applied the Database per Service pattern. Each service has its own database. • Some business transactions, however, span multiple service so you need a mechanism to ensure data consistency across services.
  29. 29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Solutions • Each local transaction updates self and publishes a message/event to trigger the next local transaction in the saga. • If a local transaction fails because it violates a business rule then the saga executes a series of compensating transactions that undo the changes that were made by the preceding local transactions. https://microservices.io/patterns/data/saga.html
  30. 30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Orchestration-based Saga • Coordinator stand alone • Each service provide a pair function for Success or Fail • Abstract compensate logic out of Codes https://microservices.io/patterns/data/saga.html 1 1.1 2 3 4 5
  31. 31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Implementing Saga pattern on AWS
  32. 32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Each Service provide cancel operation • State change trigger cancel operation • Simplify Complexity rules • Just a JSON file
  33. 33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Code snippet https://github.com/humank/lambda-saga-pattern
  34. 34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Demo
  35. 35. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  36. 36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (by noun, organization, experience?) (CRM, ERP, Payment Gateway ...) (self employee, out sourcing, ISV)
  37. 37. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • By business Capability • Form up boundary by Bounded Context • Clarify Sub Domains • Core sub domain – (most valuable) • General sub domain – (facilitate business) • Support sub domain – (support, infra) (by noun, organization, experience?)
  38. 38. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T (by noun, organization, experience?) A Team
  39. 39. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Resources allocation by value chain • Talents devote to build up core sub domain • Responsible for general sub domain • Out sourcing or ISV for support domain (self employee, out sourcing, ISV)
  40. 40. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T ISV/Package Support sub Domain Out Sourcing General Sub Domain Pay the most efforts on critical business component Talents developing code Core Sub Domain (self employee, out sourcing, ISV)
  41. 41. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Incrementally breakout dependencies • Cut-off Database Link • Do not allow cross schema access permissions • Define API contract only for data exchange • Considering to move out store procedure into application code • Leave the legacy system as a data container (CRM, ERP, Payment Gateway ...)
  42. 42. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T When you should dive in Microservices Team Partners Business Operation Coding Value
  43. 43. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Migration from Monolith to Microservices via DDD approach readiness https://github.com/humank/microservices Update soon !
  44. 44. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Implementing DDD on AWS Community : DDD Taiwan@FB Telegram : YikaiKao WeChat : YikaiKao Twitter : @YikaiKao GitHub Repos
  45. 45. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Take Away Know Why/What/How • Do you really need Microservices? • Leverage Business Events to aggregate context and form up Service Boundary • There is no C4 to solve distributed persistence issue • State Machine to do Transaction Compensate (Step Functions way to go) • DDD is good to collaborate Business and Technology guys by speaking Ubiquitous Language • Crunch Problem, then design solution
  46. 46. Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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