Category
microservices
6 articles in this category
Service Mesh Pattern: Control Plane, Data Plane, and Zero-Trust Traffic
TLDR: A service mesh is valuable when you need consistent traffic policy and identity across many services, not as a default for small systems. TLDR: This dedicated deep dive focuses on the internals, failure behavior, performance trade-offs, and rol...
Saga Pattern: Coordinating Distributed Transactions with Compensation
TLDR: Sagas make distributed workflows reliable by encoding failure compensation explicitly rather than assuming ACID across services. TLDR: This dedicated deep dive focuses on the internals, failure behavior, performance trade-offs, and rollout stra...
Microservices Data Patterns: Saga, Transactional Outbox, CQRS, and Event Sourcing
TLDR: Microservices get risky when teams distribute writes without defining how business invariants survive network delays, retries, and partial failures. Patterns like transactional outbox, saga, CQRS, and event sourcing exist to make those rules ex...
CQRS Pattern: Separating Write Models from Query Models at Scale
TLDR: CQRS works when read and write workloads diverge, but only with explicit freshness budgets and projection reliability. TLDR: This dedicated deep dive focuses on the internals, failure behavior, performance trade-offs, and rollout strategy requi...
Circuit Breaker Pattern: Prevent Cascading Failures in Service Calls
TLDR: Circuit breakers convert dependency failure into controlled degradation, preserving core paths during partial outages. TLDR: This dedicated deep dive focuses on the internals, failure behavior, performance trade-offs, and rollout strategy requi...
Backend for Frontend (BFF): Tailoring APIs for UI
TLDR: A "one-size-fits-all" API causes bloated mobile payloads and underpowered desktop dashboards. The Backend for Frontend (BFF) pattern solves this by creating a dedicated API server for each client type — the mobile BFF reshapes data for small sc...