Architecture
GraphQL Federation: Splitting a Schema Without Splitting Teams
A practical guide to GraphQL Federation for breaking up a monolithic schema across services without duplicating resolvers or gateway logic.
·4 min read
Tags
Distributed Systems
33 articles · Page 1 of 3
Backend
Idempotent Background Jobs: Retries, Locks, Exactly-Once
Exactly-once processing does not exist in distributed systems — here is how to design background jobs that survive retries, crashes and duplicate deliveries.
·5 min read
Backend
Idempotency Keys in Practice: Making Retries Safe
How to design and implement idempotency keys so retried requests never double-charge, double-send, or double-create resources.
·5 min read
Architecture
Multi-Region Failover: What Actually Breaks in Production
Multi-region failover looks simple on an architecture diagram — the reality is replication lag, split-brain writes and DNS caches that refuse to cooperate.
·5 min read
Architecture
Evolving Event Schemas Without Breaking Consumers
How to add fields, rename properties, and restructure events in async systems without coordinating deployments or silently breaking downstream consumers.
·4 min read
Backend
Distributed Locks: Coordinating Work Across Multiple Nodes
Stop racing conditions in distributed systems: a practical guide to implementing distributed locks with Redis and PostgreSQL advisory locks in Node.js.
·5 min read
Backend
Durable Execution: Workflows That Survive Restarts
Why job queues and database state machines break on complex multi-step processes, and how durable execution with Temporal survives crashes and deployments.
·5 min read
Architecture
The Transactional Outbox Pattern: Solving Dual-Write
How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling database to broker.
·5 min read
Architecture
Microservices Architecture Patterns That Actually Work
Practical lessons from designing and operating microservices at scale: event-driven communication, service boundaries and the patterns that survived.
·3 min read
Architecture
System Design Fundamentals Every Developer Should Know
The core concepts behind scalable system design — load balancing, caching, database scaling, queues, and the tradeoffs that guide architectural decisions.
·3 min read
Architecture
WebSocket Architecture Patterns for Scalable Real-Time Apps
Design scalable WebSocket architectures: connection management, room-based pub/sub, heartbeats, reconnection and horizontal scaling to thousands.
·4 min read
Architecture
Designing Resilient Retry Policies for Distributed Systems
Retry policies that recover from transient failures without overwhelming downstream services: exponential backoff, jitter, circuit breakers and budgets.
·4 min read