Architecture for Growing Web Applications: Design Maintainable Frontends, Backends, Boundaries, Data Flows, and Deployment Structures - Softcover

Inhaltsangabe

Your application does not become difficult because it has more code. It becomes difficult when every change starts affecting everything else.

A feature that once required a few lines now touches frontend state, backend rules, database tables, background jobs, APIs, integrations, security policies, and deployment pipelines. Teams begin waiting on one another. Database schemas quietly become shared APIs. Performance fixes create new bottlenecks. Services are extracted, yet releases remain coupled.

The application still works.

But changing it safely is becoming expensive.

Architecture for Growing Web Applications is a practical guide to designing software that can evolve as products, traffic, teams, data, and operational risk increase.

Rather than prescribing one framework, cloud provider, or microservices blueprint, this book teaches the architectural principles that survive technology changes: clear ownership, deliberate boundaries, stable contracts, controlled data flow, observable behavior, and reversible evolution.

Inside, you'll learn how to:

• Recognize when a once-simple application has outgrown its original structure
• Diagnose rising change cost, unclear ownership, migration fear, and coordination-heavy releases
• Design strong module boundaries before introducing network boundaries
• Reduce coupling while preserving useful cohesion
• Organize large frontends around product capabilities rather than generic technical folders
• Separate server state, client state, URL state, session state, and local interaction state
• Build data-access boundaries that prevent UI components from depending directly on transport details
• Choose rendering strategies based on personalization, freshness, interactivity, and performance needs
• Structure backends around application use cases instead of letting controllers become the business architecture
• Keep business rules independent from transport, persistence, and framework details
• Design HTTP APIs and events as stable contracts with clear semantics, errors, compatibility, authorization, and idempotency
• Establish accountable data ownership instead of allowing a shared database to become an undocumented integration layer
• Decide where strong transactions matter and where durable workflows are more appropriate
• Use queues, events, outbox patterns, retries, backpressure, and asynchronous processing without losing operational clarity
• Treat latency, caching, concurrency, and capacity as architectural concerns
• Match containers, serverless runtimes, managed platforms, and deployment units to actual operational requirements
• Build observability using logs, metrics, traces, correlation, and service-level objectives
• Apply security at every architectural boundary rather than adding it after the system is designed
• Scale teams through explicit ownership, architecture decision records, platform capabilities, and enforceable boundaries
• Decide when a modular monolith should remain a monolith—and when independent services genuinely buy useful autonomy
• Break apart legacy structures incrementally using safer migration and strangler-style approaches
• Build a practical 30-60-90 architecture roadmap that preserves future options without overengineering today

One of the manuscript's strongest principles is that architecture should be measured by the cost of change rather than by the number of components or services. As product, load, team, and risk pressures increase, the first requirement is clearer boundaries—not automatically more infrastructure.

Don't design for an imaginary system five years from now. Design today's system so tomorrow's changes remain possible.

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