// Topics / Distributed Systems

Distributed Systems

    Red-Teaming Distributed Databases Before the Black Swan Most catastrophic distributed database incidents are compound failures nobody practiced. How to red-team partitions, clock skew, and operator error. distributed-systems databases reliability Scaling AI Features: GPUs, Rate Limits, and Backpressure GPUs are scarce, rate limits are hard ceilings, and AI demos collapse under real traffic. The distributed systems patterns that keep AI features up. ai infrastructure architecture Distributed Systems Patterns I Keep Reaching For Timeouts, retries with jitter, circuit breakers, sagas, outbox and inbox, backpressure: the distributed systems patterns that survive production. distributed-systems architecture microservices Distributed Engineering Teams: What Works Six Months In Remote-first since before COVID, I watched everyone else scramble. What works for distributed engineering teams six months in, and what still doesn't. remote-work teams engineering Observability for Small Distributed Teams: A Minimal Stack Most observability advice targets 500-engineer orgs. For a small distributed team: structured logs, a request_id, one dashboard per service, few alerts. observability distributed-systems devops Event-Driven Architecture: What I Got Wrong, What Survived Lessons from building event-driven systems at the fintech startup and my infrastructure startup: what works, what silently corrupts your data, and Go patterns that hold up. architecture go distributed-systems PostgreSQL Replication Patterns: Async, Sync, and Quorum A practical breakdown of replication modes, topologies, and the tradeoffs between consistency, availability, and not losing your users' data at 3am. databases distributed-systems architecture Edge Computing Is Usually Premature Optimization Edge computing is real, but most teams adopting it don't have an edge problem. They have an architecture problem they're solving with geography. infrastructure architecture distributed-systems Multi-Region Architecture: You Probably Don't Need It Yet Multi-region is a commitment most teams make too early. When it actually pays off, the patterns that work, and why data is the part that ruins your week. architecture cloud distributed-systems Designing for Failure: Timeouts, Circuit Breakers, Failover Timeouts, blast-radius isolation, fallbacks, circuit breakers, and tested failover: the rules I follow so one slow dependency can't take down everything. reliability architecture distributed-systems Partial Failure in Distributed Systems: Lessons From Fintech Designing distributed systems for partial failure at a fintech startup: timeouts, retries with jitter, circuit breakers, bulkheads, and idempotency. distributed-systems reliability architecture Monitoring vs Observability: Lessons From a Silent Outage After an outage our dashboards couldn't explain, I rebuilt a fintech startup's telemetry around metrics, logs, and traces tied together by request IDs. observability devops distributed-systems Event Sourcing in Practice: What I Got Right and Wrong Event sourcing and CQRS at a fintech startup: event design, aggregate boundaries, idempotent projections, schema evolution, and modeling mistakes. architecture distributed-systems business Multi-Region Architecture: What I Wish Someone Had Told Me What I learned evaluating multi-region at the fintech startup: the patterns that work, the ones that burn you, and when you should even bother. architecture distributed-systems cloud Observability vs Monitoring: Why Dashboards Aren't Enough Monitoring answers questions you predicted. After splitting into microservices, we needed structured logs, trace IDs, and tracing to debug what broke. observability devops distributed-systems