Microservices: A Taxonomy

A microservices services architecture has become a standard way to approach the modular design of large scale systems. But while there are some traits that most practitioners can agree on, such as independent deployment, choice in implementation details, polyglot persistence, and benefits such as isolation, better parallelization, and improved scalability, there are still vast differences between the diverse approaches taken in practice. In this talk, we will categorize different ways to approach the architectural style, and highlight differences, benefits, and downsides of various interpretations found in projects.

Transcript

1. Microservices:
 A Taxonomy Stefan Tilkov
 stefan.tilkov@innoq.com
 @stilkov Microservices 2019
2. Microservices – Common Traits • Focused on “one thing” • Autonomous operation • Isolated development • Independent deployment • Localized decisions
3. Example: Device Event Handling • Incoming event validation • Format transformation • Fan-out event generation • Aggregation • Storage Event Bus/Infrastructure →FaaS
4. Pattern: FaaS (Function as a Service) • As small as possible • A few hundred lines of code or less • Triggered by events • Communicating asynchronously Description: As seen on: • Any recent Fred George talk • Serverless Architecture • AWS Lambda
5. Pattern: FaaS (Function as a Service) • Shared strong infrastructure dependency • Common interfaces, multiple invocations • Application logic in event handler configuration • Emerging behavior (a.k.a. “what the hell just happened?”) • (Possibly) billed per request • (Possibly) unpredictable response times Consequences:
6. Example: Product Detail Page • Core product data • Prose description • Images • Reviews • Related content Orchestration →μSOA
7. Pattern: μSOA (Microservice-SOA) • Small, self-hosted • Communicating synchronously • Cascaded/streaming • Containerized Description: As seen on: • Netflix • Twitter • Gilt
8. Pattern: μSOA (Microservice-SOA) • Close collaboration – common goal • Need for resilience/stability patterns for invocations • High cost of coordination (versioning, compatibility, …) • High infrastructure demand • Often combined with parallel/streaming approach • Well suited to environments with extreme scalability requirements Consequences:
9. Antipattern: Decoupling Illusion Stakeholder Stakeholder Stakeholder
10. Pattern: Autonomous Cells Stakeholder Stakeholder Stakeholder Biz Dev Ops Biz Dev Ops Biz Dev Ops
11. Pattern: Autonomous Cells Stakeholder Stakeholder Stakeholder Biz Dev Ops Biz Dev Ops Biz Dev Ops
12. Example: Logistics Application • Order management • Shipping • Route planning • Invoicing Frontend →DDDD Event Bus/Infrastructure
13. Pattern: DDDD (Distributed Domain-driven Design) • Small, self-hosted • Bounded contexts • Redundant data/CQRS • Business events • Containerized Description: As seen on: • (undisclosed)
14. Pattern: DDDD (Distributed Domain-driven Design) • Loose coupling between context • Acknowledges separate evolution of contexts • Asynchronicity increases stability • Well-suited for to support parallel development Consequences:
15. That UI thing? Easy!
16. Assumption
17. Reality – Antipattern: Frontend Monolith
18. Example: E-Commerce Site • Register & maintain account • Browse catalog • See product details • Checkout • Track status →SCS
19. Pattern: SCS (Self-contained Systems) • Self-contained, autonomous • Including UI + DB • Possibly composed of smaller microservices Description: As seen on: • Amazon • Groupon • Otto.de • https://scs-architecture.org
20. Pattern: SCS (Self-contained Systems) • Larger, independent systems,
 including data + UI (if present) • Able to autonomously serve requests • Light-weight integration, ideally via front-end • No extra infrastructure needed • Well suited if goal is decoupling of development teams Consequences:
21. Building Block 0..1 *
22. One more thing …
23. One more thing … We love monoliths –
 so let’s build a lot of them!
24. Separate
 separate
 things Join things that belong together
25. Stefan Tilkov @stilkov
 stefan.tilkov@innoq.com
 Phone: +49 170 471 2625 innoQ Deutschland GmbH Krischerstr. 100 40789 Monheim am Rhein Germany Phone: +49 2173 3366-0 innoQ Schweiz GmbH Gewerbestr. 11 CH-6330 Cham Switzerland Phone: +41 41 743 0116 www.innoq.com Ohlauer Straße 43 10999 Berlin Germany Phone: +49 2173 3366-0 Ludwigstr. 180E 63067 Offenbach Germany Phone: +49 2173 3366-0 Kreuzstraße 16
 80331 München Germany Phone: +49 2173 3366-0 @stilkov That’s all I have.
 Thanks for listening!
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