Architecture as Code: Part 2 - Building the Foundation
Transform architecture from abstract concepts into enforceable code. Discover explicit decisions, automated validation, and living documentation that prevent 2 AM production disasters.
Tag: Architecture
Architecture as Code: Part 1 - The Revolution Begins
What happens when architecture diagrams become outdated weeks after creation? Discover how Architecture as Code transforms static documentation into executable, verifiable system design.
Static Site Generators - Why Simple Beats Complex in Modern Web Development
Why maintain a Ferrari when a bicycle would do? Discover how static site generators deliver blazing speed, ironclad security, and near-zero costsāproving simple beats complex.
Understanding Reverse Proxy: The Unsung Hero of Enterprise Architecture
Ever wondered what sits between users and your backend servers? Discover why reverse proxies are essential in enterprise design and whether they're really another point of failure.
Understanding Database Types: A Comprehensive Guide
From relational to graph databases - explore the diverse world of data storage systems and learn which database type fits your application's needs.
Should Databases Allow Direct Application Connections in Enterprise?
Multiple applications connecting directly to your databaseāconvenient or catastrophic? Explore why enterprise architects debate this fundamental design decision.
Identity Broker: Centralizing Authentication in Distributed Systems
Identity brokers centralize authentication across multiple systems, but implementation choices affect security, performance, and user experience. Understand the patterns, trade-offs, and pitfalls.
Dependency Inversion Principle: High-Level Modules Should Not Depend on Low-Level Modules
High-level modules should not depend on low-level modules. Both should depend on abstractions. This principle inverts traditional dependency structures, yet developers routinely create rigid architectures that violate it.
Interface Segregation Principle: No Client Should Be Forced to Depend on Unused Methods
Clients should not be forced to depend on interfaces they don't use. This principle prevents fat interfaces that burden implementers with unnecessary methods, yet developers routinely create bloated abstractions that violate it.
Liskov Substitution Principle: The Contract You Can't Break
Subtypes must be substitutable for their base types without breaking program correctness. This principle ensures inheritance hierarchies remain sound, yet developers routinely violate it with seemingly innocent design decisions.
Open-Closed Principle: Extending Without Breaking
Software entities should be open for extension but closed for modification. This principle promises flexibility without fragility, yet developers struggle with when to apply abstraction and when it becomes over-engineering.
Single Responsibility Principle: The Foundation of SOLID Design
A class should have only one reason to change. This simple statement forms the foundation of SOLID design, yet developers struggle with what constitutes a 'single responsibility' and when to split classes.
Mobile App Security Essentials: Protecting Data in Users' Pockets
Mobile devices store sensitive data and connect to critical services. Learn essential security architecture principles to protect your users from data breaches, reverse engineering, and runtime attacks.
Architecture Patterns Quick Reference
A comprehensive quick reference guide to cloud architecture patterns. Find the right pattern for your challenge with decision trees, comparison tables, and practical selection criteria.
The Asynchronous Request-Reply Pattern: Building Responsive Distributed Systems
Discover how the Asynchronous Request-Reply pattern enables responsive applications by decoupling long-running operations from immediate responses, preventing timeouts and improving user experience.
The Bulkhead Pattern: Isolating Failures in Distributed Systems
Discover how the Bulkhead pattern prevents cascading failures by isolating resources and limiting the blast radius when components fail in distributed systems.
Materialized View Pattern: Optimizing Query Performance Through Precomputed Data
Learn how the Materialized View pattern improves query performance by precomputing and storing data in formats optimized for specific queries, and how it differs from database materialized views.
The Claim-Check Pattern: Handling Large Messages in Distributed Systems
Learn how the Claim-Check pattern solves the challenge of transferring large payloads in messaging systems by storing data externally and passing lightweight tokens instead.