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Author: Chris Richardson

The definitive guide microservices architecture, updated with modern patterns, approaches, and tools. Microservices Patterns has helped tens of thousands of developers build effective and stable microservices applications. In this totally revised second edition, author Chris Richardson builds on his experience helping countless organizations use microservices, delivering new insights into design, modern testing techniques, refactoring approaches, and deployment strategies to help you deliver scalable software quickly and reliably. In Microservices Patterns, Second Edition you’ll learn how to: Define the requirements for your microservices application Design a microservice architecture Test and deploy a microservices application Refactor a monolith to microservices Microservices architecture—in conjunction with Team Topologies and DevOps—has become an essential approach for developing large, complex enterprise applications using fast flow: the continuous delivery of a stream of small changes and rapid feedback on each one. This unique book collects, catalogues, and explains dozens of patterns that solve common microservices problems—from service decomposition, to inter-service communication. You’ll soon be benefiting from increased technology diversity, incremental upgrade capabilities, and no other teams stepping on your toes! about the reader Written for enterprise developers and architects familiar with standard application designs. Code examples are in Java, but the architectural principles apply across technology stacks. about the author Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action and the first edition of Microservices Patterns, and creator of the original CloudFoundry.com.

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【One-Line Pitch】 A pattern catalog and architectural playbook for turning a tangled monolith into a fast-flowing microservices system—without losing sight of when a monolith is still the right answer. Best for enterprise developers and architects who already know standard application design and want practical guidance on decomposition, testing, deployment, and migration. 【Book Arc】 - **Opening (~0%–10%)**: Frames microservices as one leg of a "fast flow success triangle" alongside DevOps and Team Topologies, and defines fast flow via deployment pipelines and DORA-style lead time. - **Early (~10%–30%)**: Uses the FTGO example to show why a monolith works well initially, then catalogs the forces that break it down—plus cautionary tales of big-bang rewrites and microservices-first development. - **Middle (~30%–50%)**: Shifts to architecture as a reasoning tool: the 4+1 view model (domain, component, deployment, build, scenarios), architectural styles, and decentralized decision-making via the architecture advice process. - **Late (~50%–80%)**: Moves into the pattern catalog proper—service decomposition, inter-service communication, and the design-time coupling/cohesion trade-offs that determine service boundaries (excerpts do not cover the full pattern set in detail). - **Ending (~80%–100%)**: Addresses modern testing, deployment, and refactoring a monolith to microservices, including the Strangler Fig pattern and Service Template/Microservice Chassis for consistency (excerpts do not cover these chapters in depth). 【Key Takeaways】 - **Microservices only pay off inside a "success triangle"** (Opening): DevOps process, Team Topologies organization, and architecture must all be adopted together; buying the architecture without the other two is "like buying a Ferrari and pulling it with a horse." - **Fast flow is measurable and architectural** (Opening): Lead time = wait time + processing time; keeping it low as the app and org grow is the central architectural challenge, and a pipeline per service shortens it. - **The monolith is not an anti-pattern** (Early): A single deployable can enable fast flow for small apps and small teams; the Modular Monolith is presented as a genuine improvement over the traditional three-layer monolith. - **Taking "micro" literally backfires** (Early): Excessively fine-grained services cause tight design-time and runtime coupling and poor performance—the FTGO V2 failure is the cautionary example. - **Big-bang rewrites and microservices-first development usually fail** (Early): No value ships until completion, design errors surface only in production, and new apps lack stable APIs—use the Strangler Fig instead. - **Architecture is the set of structures needed to reason about the system** (Middle): Richardson favors a 4+1 view model—domain, component, deployment, build, plus scenarios that animate them—over vague definitions. - **Decentralize architecting, but not blindly** (Middle): Embedding architects in teams beats central bottlenecks, and the architecture advice process keeps decisions informed and aligned across the organization. - **Independent deployability requires rethinking testing** (Early): Insisting on end-to-end tests before every service deploy defeats the purpose; move them out of the deployment pipeline. 【Reading Tips】 - Read the opening chapters on the success triangle and fast flow carefully—they set the decision criteria for everything later; skim the FTGO narrative if you already know the failure modes. - Treat the 4+1 view model as a working tool: apply it to your own system as you read, since it recurs throughout the pattern catalog. - The pattern catalog (decomposition, communication, testing, deployment, migration) is reference material—deep-read the patterns that match your current pain, and revisit the rest when needed. - Pay special attention to the migration chapters (Strangler Fig, Service Template, Microservice Chassis); these are where the second edition's updated guidance is most actionable. - Java code examples illustrate principles, not requirements—translate them to your stack rather than copying them. 【Coverage Limits】 These excerpts cover roughly the first half of the book—the fast-flow framing, FTGO case study, and architectural views—while the detailed pattern catalog, testing, deployment, and migration chapters are only lightly represented. Specific pattern mechanics and second-edition updates beyond those mentioned cannot be summarized from the available material.
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services: an architecture for fast flow This chapter covers The primary motivation for using the microservice architecture  The key characteristics of micros...
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, it’s simple, easy to understand, and easy to develop - at least when the application is small. Consequently, you should not automatically choose the micros...
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re of a computing system is the set of structures needed to reason about the system, which comprise software elements, relations among them, and properties o...
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r trade-offs. Not only does the architecture advice process ensure that architects understand the impact of their decisions on the development teams, but it...
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verts the dependencies so the Order Management subdomain is unaware of which other subdomains consume the events that it publishes. From the perspective of t...
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eam autonomy localizes most changes to a single component makes subdomains easier to understand and change © Manning Publications Co. To comment go to liveBo...
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ty requires collaboration between developers and operations. Developers create services that are instrumented to emit telemetry. Operations provide the infra...
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tight design-time coupling between the two domain modules. The problem with this approach is that the Order Domain Module is not restricted to invoking funct...
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Publish Year: 2026
Language: English
Pages: 342
File Format: PDF
File Size: 12.7 MB
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