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.
Transform architecture from abstract concepts into enforceable code. Discover explicit decisions, automated validation, and living documentation that prevent 2 AM production disasters.
What happens when architecture diagrams become outdated weeks after creation? Discover how Architecture as Code transforms static documentation into executable, verifiable system design.
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.
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.
Multiple applications connecting directly to your databaseāconvenient or catastrophic? Explore why enterprise architects debate this fundamental design decision.
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.
Discover how the Asynchronous Request-Reply pattern enables responsive applications by decoupling long-running operations from immediate responses, preventing timeouts and improving user experience.
Discover how the Bulkhead pattern prevents cascading failures by isolating resources and limiting the blast radius when components fail in distributed systems.
Discover the fundamental differences between OLTP and OLAP systems. Learn when to use transaction databases for daily operations and analytics databases for business intelligence.
Learn how the Circuit Breaker pattern protects distributed systems from cascading failures by temporarily blocking calls to failing services, allowing time for recovery.
Delegate authentication to external identity providers to simplify development, reduce administrative overhead, and improve user experience across multiple applications and organizations.
Implement health checks through dedicated endpoints to monitor application availability and performance. Learn how to verify your services are running correctly before users discover problems.
Enable applications to announce events to multiple consumers asynchronously without coupling senders to receivers. Learn how pub/sub messaging improves scalability and reliability.
Combine multiple backend requests into a single call through a gateway. Learn how this pattern reduces network overhead and improves performance in distributed systems.
Divide your data store into horizontal partitions to improve scalability and performance. Learn how sharding distributes data across multiple servers to handle massive volumes.
Deploy supporting components alongside your application in separate containers. Learn how the Sidecar pattern enables isolation, encapsulation, and heterogeneous technology stacks.
Incrementally migrate legacy systems by gradually replacing functionality with new services. But is Strangler Fig truly a pattern, or is it a migration strategy? Let's explore this architectural approach and its philosophical classification.
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.
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.
Learn how the Retry pattern helps applications handle transient failures gracefully, improving stability and user experience in distributed systems.
Learn how the Anti-Corruption Layer pattern helps you integrate legacy systems with modern applications without compromising your clean architecture design.
Learn how the rate limiting pattern helps you avoid throttling errors and improve throughput when working with services that impose usage limits.