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19 articles
Exactly-once processing doesn't exist in distributed systems—here's how to design background jobs that survive retries, crashes, and duplicate deliveries anyway.
How to design and implement idempotency keys so retried requests never double-charge, double-send, or double-create resources.
Why job queues and database state machines break down for complex multi-step processes, and how durable execution with Temporal gives you workflows that survive crashes, retries, and deployments.
How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling your database to your message broker.
Most Node.js services silently drop in-flight requests on every deploy. Here's how to handle SIGTERM correctly, drain connections, and exit cleanly in Kubernetes.
Configure Kubernetes liveness, readiness, and startup probes correctly to prevent cascading failures, avoid unnecessary restarts, and ensure traffic only reaches pods that are genuinely ready to serve requests.
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 systematic approach to incident management covering alerting design, severity classification, on-call response workflows, communication protocols, and blameless post-mortem practices.
An exploration of fault tolerance engineering covering circuit breakers, bulkheads, fallback chains, and degradation strategies that keep systems useful when components fail.
Practice chaos engineering by injecting controlled failures into production systems to discover weaknesses before they cause outages, with practical experiments covering network partitions, resource exhaustion, and dependency failures.
Build idempotent API endpoints that handle retries safely using idempotency keys, database constraints, and state machines with TypeScript examples covering payment processing, order creation, and webhook delivery.
Design and execute effective load tests using k6 with practical patterns for ramping strategies, realistic user simulation, threshold-based pass/fail criteria, and interpreting results to find bottlenecks before production traffic exposes them.
Design webhook delivery infrastructure that handles retries with exponential backoff, signature verification, idempotency guarantees, delivery logging, and endpoint health monitoring for reliable event notification.
How to run blameless incident postmortems that produce actionable improvements — with templates, facilitation techniques, and patterns for turning production incidents into lasting organizational learning.
How to build on-call rotations that keep systems reliable without burning out your team — covering scheduling, escalation policies, runbook design, and incident response workflows.
Network failures mean requests are retried — idempotent API design ensures that processing the same request twice produces the same result, preventing duplicate charges and orders.
Chaos engineering is the practice of deliberately injecting failures into production systems to discover weaknesses before they cause real outages.
Service Level Objectives transform vague reliability goals into measurable contracts — here's how to define SLIs, set SLOs, and use error budgets to balance reliability with velocity.
Not everything belongs in the request-response cycle — queues, workers, retries, and dead letter patterns for reliable background processing.