On Microservices
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The document discusses microservices as an alternative to monolithic applications. It notes that monoliths can be difficult to scale, diagnose issues within, introduce changes to, and fail globally. Microservices are proposed as a solution by separating applications into smaller, independent services with distinct purposes. This allows for workload partitioning, parallel development, isolated failures, and more autonomy. However, microservices also present challenges around distributed systems and increased complexity. The document recommends starting with a modular monolith and gradually splitting services, using practices like event-driven architecture and contract testing.
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Architecting for failure - Why are distributed systems hard?
Devnexus 2017
As we architect our systems for greater demands, scale, uptime, and performance, the hardest thing to control becomes the environment in which we deploy and the subtle but crucial interactions between complicated systems. And microservices obviously are the way to go forward with those complicated systems. But what makes it so hard to build them? And why should you embrace failure instead of doing what we can do best: Preventing failure. This talk introduces you to the problem domain of a distributed system which consists of a couple of microservices. It shows how to build, deploy and orchestrate the chaos and introduces you to a couple of patterns to prevent and compensate failure.
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On Microservices
- 2. Monolith / Single App • "expensive" scaling • hard to diagnose • hard to introduce change • conflicting requirements • global failure 2Enpal, 05.06.2020
- 3. 3Enpal, 05.06.2020 Monolith / Single App • project thinking • organizational silos
- 4. "Any organization that designs a system will produce a design whose structure is a copy of the organization's communication structure." -- Conway's Law 4Enpal, 05.06.2020
- 5. The Solution • separation of concerns • workload partitioning • parallel development • decoupled release cycles • isolate failure • autonomy in decision making • diverse tech stack 5Enpal, 05.06.2020
- 6. The Solution • "You build it, you run it" • automated provisioning • teams close to users • shared libraries • internal Open Source • product thinking 6Enpal, 05.06.2020
- 8. How do we get there? 8Enpal, 05.06.2020
- 10. Split by functionality 10Enpal, 05.06.2020
- 11. Microservices Challenges - distributed monolith - shared data (joins) - high upstart cost - network protocol add complexity - distributed logging, versioning, etc 11Enpal, 05.06.2020
- 12. Good Practices 12Enpal, 05.06.2020 - start with modular monoliths - decouple services with event buses - integration testing - documentation and versioning: Swagger & GraphQL - contract testing: GraphQL - distributted logging: Splunk?
- 14. From the industry 14Enpal, 05.06.2020
- 16. References ... • Martin Fowler on Microservices • Micro-services at Netflix • InfoQ Tech Trends 2019 • Monolith First 16Enpal, 05.06.2020
Editor's Notes
- you build it, you run it: products not project brings dev teams closer to users the smaller granularity of services can make it easier to create the personal relationships between service developers and their users. 100% autonomy in decision making ontology still is needed in practice even huge companies do not use more than 4 programming languages cross team initiatives for flexible standardisation / knowledge sharing / internal open source shared libraries on commons: data storage, inter-process communication and as we discuss further below, infrastructure automation
- Domain-driven design is the concept that the structure and language of your code should match the business domain. placing the project's primary focus on the core domain and domain logic; basing complex designs on a model of the domain; initiating a creative collaboration between technical and domain experts to iteratively refine a conceptual model that addresses particular domain problems. For example, if your software processes loan applications, it might have classes such as LoanApplication and Customer, and methods such as AcceptOffer and Withdraw.