
The Transactional Outbox Pattern: Solving Dual-Write in Distributed Systems
How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling your database to your message broker.
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17 articles

How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling your database to your message broker.

Practical lessons from designing and operating microservices at scale — event-driven communication, service boundaries, and the patterns that survived production.

Practical testing strategies for distributed architectures, covering contract testing between services, chaos engineering for resilience validation, integration test design, and building confidence in systems where end-to-end testing is impractical.

A practical guide to implementing bounded contexts and context mapping in real applications, covering strategic DDD patterns that prevent domain model corruption and enable autonomous team ownership.

A practical guide to incrementally replacing legacy monolithic systems using the strangler fig pattern, with routing strategies, data synchronization techniques, and rollback safety nets.

Apply Domain-Driven Design bounded contexts to real codebases by defining clear boundaries between subdomains, managing context mapping between teams, and avoiding the common pitfall of sharing domain models across services.

Understand service mesh architecture through practical Istio and Linkerd examples covering traffic management, mutual TLS, observability, and circuit breaking, with honest guidance on when a service mesh adds value versus unnecessary complexity.

Implement distributed tracing across microservices using OpenTelemetry, with practical examples of context propagation, span creation, sampling strategies, and trace analysis that turn opaque distributed systems into debuggable ones.

Build production-grade distributed tracing infrastructure with OpenTelemetry, covering context propagation, sampling strategies, trace storage backends, correlation with logs and metrics, and cardinality management at scale.

Practical strategies for identifying, implementing, and integrating bounded contexts in domain-driven design, with concrete patterns for context mapping, anti-corruption layers, and shared kernels across service boundaries.

Learn how to apply the strangler fig pattern to incrementally migrate legacy systems to modern architectures without risky big-bang rewrites or extended downtime.

How to implement the saga pattern to manage distributed transactions across microservices — comparing orchestration versus choreography approaches with practical TypeScript examples and compensation logic.

A step-by-step tutorial for building an event-driven microservice using Node.js, RabbitMQ, and TypeScript — covering event publishing, consumption, dead letter queues, and idempotent processing.

A practical comparison of gRPC and REST for backend services — covering performance characteristics, developer experience, streaming capabilities, and the tradeoffs that determine which protocol fits your use case.

How API gateways handle routing, authentication, rate limiting, and response aggregation — with patterns for building or choosing the right gateway for your architecture.

A service mesh moves networking concerns like retries, circuit breaking, mTLS, and observability out of application code and into the infrastructure layer.

When a request touches five services, logs from each one are useless in isolation — distributed tracing ties them together with trace IDs, spans, and context propagation.