21 posts · page 1 of 1
Implement AI guardrails for input validation, output filtering, content moderation, and hallucination prevention to build production-safe LLM applications.
Learn chaos engineering principles and tools. Run controlled experiments with Chaos Monkey, Litmus, and Gremlin to find weaknesses before they cause real outages.
Master Site Reliability Engineering with SLIs, SLOs, SLAs, and error budgets. Learn to define measurable reliability targets and balance feature velocity with stability.
Design health check endpoints that actually help. Covers liveness vs readiness, dependency checks, degraded states, and Kubernetes probe configuration.
Implement graceful shutdown in backend services. Covers signal handling, draining connections, health check coordination, and timeout strategies.
Build a reliable webhook delivery system. Covers retry strategies, idempotency keys, signature verification, dead letter queues, and delivery guarantees.
Compare blue-green and canary deployment strategies with practical examples to choose the right zero-downtime release approach for your team.
Learn how to define SLIs, set SLOs, and use error budgets to balance reliability with feature velocity in your engineering team.
Detect, measure, and reduce LLM hallucinations with grounding, verification chains, and citation-based generation techniques.
Learn chaos engineering fundamentals and run your first experiments to build confidence in your system's resilience.
Learn how idempotency keys make APIs safe to retry, with patterns for storage, expiry, conflict handling, and common pitfalls.
An overview of rollback strategies in modern CI/CD: redeploy previous, blue-green flip, canary reverse, database-safe rollbacks, and the trade-offs between speed and safety.
An introduction to chaos engineering: hypothesis-driven failure injection that finds weaknesses before customers do.
Healthchecks tell Docker if a container is alive. Restart policies tell it what to do when it is not. Together they keep your services running.
How Kubernetes cluster upgrades drain nodes, how pod eviction works, and how PodDisruptionBudgets and graceful shutdown keep workloads safe during upgrades.
Understand the difference between readiness and liveness probes in Kubernetes, when to use each, and how to configure them safely in production workloads.
Implement graceful shutdown in Node.js services with signal handling, connection draining, and timeouts that survive real production deploys.
A field guide to the most common prompt engineering anti-patterns, why they degrade LLM output quality, and concrete refactors that fix each one.
A practical guide to idempotency keys: what they are, how to store them, how to handle replays and conflicts, and how to make POST endpoints safe to retry without duplicates.
Diagnose and eliminate flaky tests caused by timing, ordering, shared state, and the network. Build a culture that stops flakes at the source.
How idempotency keys work, where to use them, and how to implement them correctly so clients can safely retry POST requests without creating duplicates.