A Practical Guide to CQRS and Event Sourcing
This guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
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This guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
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This guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
This guide covers event contracts, partition meaning, idempotency, replay, DLT, and operational metrics when using Kafka as a foundation for event-driven design.
This guide explains how to use Circuit Breaker, Retry, TimeLimiter, and Bulkhead as an operational strategy for failure isolation in Spring Boot services.
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Treating long-running backend work as a synchronous API problem usually hurts both user experience and operational stability. Here is a practical job-status pattern.
API versioning is less about bumping numbers and more about moving consumers safely without breaking real dependencies.
Retiring an API is often riskier than launching one. This post outlines practical rules for deprecation and sunset operations.
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This guide explains CQRS and Event Sourcing in terms of domain boundaries, projections, consistency tradeoffs, snapshots, and operational complexity.
Treating long-running backend work as a synchronous API problem usually hurts both user experience and operational stability. Here is a practical job-status pattern.
API versioning is less about bumping numbers and more about moving consumers safely without breaking real dependencies.
Retiring an API is often riskier than launching one. This post outlines practical rules for deprecation and sunset operations.
A timeout is not just a number. It is a resource-protection contract across the full backend call chain.
A structured backend roadmap covering API fundamentals, reliability patterns, and distributed architecture in a practical learning order.
How to design idempotency key generation, storage, expiry, and replay behavior for real production APIs.
How to choose between orchestrated and event-driven sagas when distributed workflows become hard to reason about.
A practical guide to rate limiting that balances protection, fairness, burst tolerance, and tenant experience in production APIs.
A practical guide to designing idempotent backend behavior across duplicate requests, network retries, and asynchronous processing.
This guide explains how to use Circuit Breaker, Retry, TimeLimiter, and Bulkhead as an operational strategy for failure isolation in Spring Boot services.
This guide covers Outbox, Inbox, idempotency, retries, ordering, and observability as the practical foundation for distributed consistency without defaulting to 2PC.
This guide covers event contracts, partition meaning, idempotency, replay, DLT, and operational metrics when using Kafka as a foundation for event-driven design.
A production-focused guide to microservice architecture. Learn when service boundaries pay off, how gateway and async patterns change failure modes, and what makes MSA sustainable beyond diagrams.
A production-focused guide to Spring Boot REST APIs. Learn how to keep controllers thin, contracts stable, transactions honest, and operational behavior predictable as the system grows.
This guide covers connection lifecycle, message modeling, authentication, delivery guarantees, and scale-out concerns when designing Spring Boot WebSocket systems.
This guide takes FastAPI beyond demo code and focuses on schema separation, dependency boundaries, authentication, exception policy, and production checkpoints.
This guide covers schema design, resolver responsibility, N+1, mutation design, authorization, and operational tradeoffs when treating GraphQL as a contract model rather than just selective field fetching.
This guide goes beyond @Cacheable and focuses on TTL design, invalidation, hot keys, consistency tradeoffs, and the metrics needed to run Redis caching well in production.
This guide covers entity boundaries, relationship cost, N+1, DTO reads, transaction design, and operational pitfalls when using JPA in production.
This guide explains how unit tests, slice tests, and integration tests should be divided in a Spring Boot codebase to balance speed and confidence.
This guide covers JWT login flow, filter-chain responsibilities, token lifetime, authorization boundaries, and the operational decisions required for a production-ready setup.
This guide covers how to keep an Express API maintainable in production through layer separation, middleware design, validation, authorization boundaries, and consistent error handling.