// Topics / Reliability

Reliability

    Reliability Is the Autonomy Ceiling Capability earns the demo; measured reliability earns the autonomy. Budget autonomy by failure cost times failure rate. ai reliability operations Agent Identity Is the New Control Plane An agent that acts needs an identity—scoped, short-lived, attributable, revocable—not a shared API key. ai reliability security The Benchmark You Didn't Build Public benchmarks are contaminated and gamed. The only eval that matters runs on your traffic, your failure modes, your bar—and you own it. ai reliability metrics Agentic Systems at Scale: The New Reliability Contract Agentic systems need SRE-style reliability contracts with explicit blast-radius limits, fallback paths, and kill switches. ai reliability operations The Anti-Fragile AI Organization The best AI organizations do not merely survive model churn and vendor shocks; they convert each one into a capability they keep. teams ai reliability Designing the AI Leadership Bench: Roles, Interfaces, and Failure Boundaries Canon post — AI scaling needs explicit leadership interfaces between product, platform, reliability, and governance. leadership teams ai How to Run an AI Incident Review That Changes Architecture, Not Slides Incident reviews should produce architecture deltas and control updates, not narrative theater. reliability ai governance AI Production Governance: A Maturity Model The gap between stable AI features and shipping chaos isn't tools—it's production governance. How mature teams evaluate, deploy, and roll back. governance ai reliability Why Most Enterprise AI Architecture Fails in Year One In 2026, enterprise AI isn't failing because models are bad. It is failing because organizations are building brittle demos instead of bounded, operable systems. architecture ai reliability De-Risking the Black Swan: Red-Teaming Distributed Databases Before Production Red-teaming distributed databases before production: most catastrophic failures are compound scenarios nobody practiced, not black swans. distributed-systems databases reliability Building Reliable AI Agents in Go Reliable agents are engineered, not prompted: bounded tools, validation at every step, explicit recovery paths. Here's how I build them in Go. agents reliability ai AI Incidents Don't Look Like Outages. That's the Problem. AI systems can return 200 OK while confidently wrong. How to detect, contain, and learn from AI incidents using proven incident response principles. incident-management ai reliability Agentic Workflows: From Demo Magic to Production Reality AI agents that can take actions are fundamentally different from chatbots. The engineering bar must match the blast radius. agents ai production Why I Run Multiple Models in Production Betting on a single model provider is like having a single database with no failover. Here is why multi-model is the only sane production strategy. ai architecture llm Resilient Teams Are Boring Teams The engineering teams that survived 2022 best were not the ones with the most talent. They were the ones with the least drama. teams leadership reliability Watching Layoffs From the Inside What I saw during the 2022 layoff wave, and what actually helps engineering teams survive contraction without burning out. leadership teams hiring The AWS us-east-1 Outage Was Predictable. Your Architecture Was Not Ready. December 7 reminded everyone that us-east-1 is a single point of failure for half the internet. Again. I am annoyed. cloud incident-management reliability What a 3 AM Outage Taught Me About Incident Management Good incident response is not about preventing failure. It is about failing well. Lessons from a decade of on-call, including national cyber-defense and telecom-scale operations. incident-management reliability Stop Renaming Your Ops Team to SRE Opinionated take on SRE team models from someone who has seen them all fail in interesting ways. reliability teams leadership Database Reliability Engineering: What I've Learned the Hard Way Practical database reliability from running Postgres in production: configs, safe migration patterns, and the operational habits that prevent outages. databases reliability infrastructure Observability-Driven Development Is Just Instrumenting Your Code ODD sounds fancy. It's not. It means writing logs, metrics, and traces before you ship, not after your first outage. observability development reliability Most Chaos Engineering Is Theater Teams love saying they do chaos engineering. Few actually have hypotheses. Even fewer fix what they find. reliability opinion Your Business Continuity Plan Is Corporate Theater Most BCP documents are shelf-ware written by consultants. Here's what actually keeps engineering teams running when everything breaks. reliability engineering remote-work Zero Downtime Deploys Are a Team Habit, Not a Tool Every team says they want zero downtime. Few want to do the boring work that actually gets them there. Here's what that boring work looks like. ci-cd devops kubernetes Your Load Tests Are Lying to You Most load tests produce comforting numbers instead of useful answers. Here's what I learned the hard way about getting honest results. testing performance reliability Your SLOs Are Probably Useless (Here's How to Fix Them) Most SLOs are dashboards nobody acts on. Pick indicators that reflect real users, set targets from data, and make error budgets change how your team ships. reliability observability engineering Design for Failure or It Will Design Your Weekend Failure is not an edge case but the default state you hold off with good engineering. Hard-won rules for systems that bend instead of shatter. reliability architecture distributed-systems Async Job Processing: Patterns That Saved Us at a Fintech Startup Hard-won patterns for reliable background job processing -- queues, retries, idempotency, and the failures that taught me to care about all three. backend architecture reliability What Building Distributed Systems at a Fintech Startup Taught Me About Failure Hard-won lessons from designing distributed systems that survive real failures -- timeouts, retries, bulkheads, and the habits that keep things running. distributed-systems reliability architecture SRE Principles Are Great. The Cargo-Culting Is Not. The SRE hype train has everyone copying Google's playbook without asking whether it fits. What actually matters when you're not running at planet scale. reliability devops operations Your Incident Process Will Break at 15 People. Here's What to Do. What I learned building incident management at the fintech startup — from five people shouting across a room to actual structured response. incident-management devops reliability You Don't Need to Be Netflix to Break Things on Purpose Chaos engineering isn't just for the big players. Here's how a small team can start breaking things deliberately and actually learn from it. reliability testing devops How I Build Data Pipelines That Actually Survive Production Every pipeline I've built at the fintech startup broke at some point. Here's the design approach that made them recoverable instead of catastrophic. data reliability architecture Building Resilient Systems: Lessons from Production Failures Production incidents show where architecture bends and breaks. Lessons on designing for failure, limiting blast radius, and making recovery routine. reliability architecture engineering