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System design patterns, microservices, event-driven architecture, and the decisions that make systems reliable.
Service boundaries, inter-service communication, and avoiding the distributed monolith anti-pattern.
Event sourcing, CQRS, and saga patterns for reliable distributed workflows.
GraphQL vs REST, API versioning, rate limiting, and developer experience at scale.
Legacy integration patterns, enterprise service buses, and modern API gateway strategies.
Battle-tested patterns for building high-throughput Node.js systems at production scale. Includes clustering, worker threads, and memory management.
Read ArticleThe decision framework for adopting event sourcing, with real examples of where it helps and where it hurts.
How to draw service boundaries that align with team autonomy and don't create tight coupling.
OpenAPI, contract testing, and the workflows that keep frontend and backend teams in sync.
When a well-structured monolith outperforms microservices — and how to keep it from becoming a big ball of mud.
Cache invalidation patterns, TTL tuning, and the consistency trade-offs every architect faces.
We design systems that scale from first user to millionth without rewrites.
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