65 lines
4.2 KiB
Plaintext
65 lines
4.2 KiB
Plaintext
---
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ready: true
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title: "The Architecture of Modern Web Applications"
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description: "How to think about and build scalable, maintainable, and lasting systems in the age of microservices and cloud-native infrastructure."
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date: "2026-04-10"
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category: "Architecture"
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tags:
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- "Architecture"
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- "Web"
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- "Scalability"
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- "Cloud"
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readTime: "8 min"
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summary:
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- "Good architecture starts with understanding the real constraints of the system, not by picking a technology."
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- "A monolith is often the best starting point; microservices are justified by organizational maturity, not project size."
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- "Scalability must be designed upfront: stateless services, event-driven decoupling, multi-level caching."
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- "Technical debt is inevitable, but it must be actively managed to avoid paralyzing the product in the medium term."
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---
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<div>
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<h2>Laying the right foundations</h2>
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Software architecture is the art of making structural decisions before writing the first line of code. A poor decision at this stage can cost months of refactoring later. Yet too many projects start without giving it the time it deserves.
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The first question to ask isn't "what technology should we use?" but "what are the real constraints of the system?" Data volume, update frequency, number of concurrent users, availability requirements — these parameters dictate technical choices long before the programming language comes into play.
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A well-architected system is not necessarily complex. Complexity is often a sign of a poor understanding of the problem, not a good solution. The goal is to achieve appropriate simplicity: robust enough to meet the needs, simple enough to remain maintainable.
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</div>
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<div>
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<h2>Monolith or microservices?</h2>
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This debate comes up endlessly. In reality, there is no universal answer — only different contexts.
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A well-structured monolith is often the best option for starting a product. It is simpler to develop, deploy, and debug. The boundaries between modules remain malleable as long as the functional scope is rapidly evolving. Microservices add significant operational complexity: managing network failures, distributed data consistency, and orchestrating deployments.
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The move to microservices is justified when distinct teams need to evolve independently, when certain components require different scaling strategies, or when security constraints impose strong isolation. It's not a question of project size, but of organizational maturity.
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Progressive migration remains the best approach: identify natural bounded contexts in the monolith, extract them one by one, and validate each split before moving on.
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</div>
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<div>
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<h2>Scalability: a property to design from the start</h2>
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Scalability cannot be added as an afterthought. It must be designed upfront, through data modeling choices, the way services communicate, and state management.
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A few guiding principles:
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**Stateless by default.** Stateless services are intrinsically easier to scale horizontally. State must be externalized to dedicated systems — databases, distributed cache, message queues — and not stored in process memory.
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**Event-driven decoupling.** Event-driven architectures reduce temporal coupling between services. A service publishes an event; consumers react at their own pace. This approach improves resilience and makes it easier to evolve components independently.
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**Multi-level caching.** CDN for static assets, application cache for frequently read data, query cache on the database side. Each cache layer reduces load on the downstream system and improves response times.
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</div>
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<div>
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<h2>Technical debt: the silent enemy</h2>
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Technical debt is inevitable. What is not inevitable is letting it accumulate without a repayment strategy. Every conscious simplification decision — a shortcut taken to meet a deadline — must be documented and scheduled for correction.
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Warning signs are often subtle: increasing onboarding time for new developers, multiplying regression bugs, a general feeling that "changing anything is risky." These signals typically precede crises by several months.
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Systematically allocating part of each sprint to technical health is not a luxury — it is a medium-term survival condition for any ambitious product.
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</div>
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