Uptime
Eliminating Single Points of Failure in Your Web Stack
A practical, layer-by-layer guide to identifying and removing the components whose failure would take your entire service offline.
Why Multi-Region Monitoring Beats Single-Location Checks
A single monitoring node can't tell you whether your site is down or just unreachable from one corner of the internet — here's why geography matters for uptime checks.
Eliminating Single Points of Failure in Your Web Stack
A practical walkthrough of where SPOFs hide in typical web architectures and how to engineer them out.
Health checks done right: liveness vs readiness vs deep checks
Not all health endpoints are equal — here's how to design each type correctly so your orchestrator, load balancer, and monitoring tools all get accurate signal.
Why Multi-Region Monitoring Beats Single-Location Checks
A single monitoring probe gives you a single point of failure in your observability stack — here's why distributing checks across regions catches real outages that local monitors miss.
Graceful Degradation and the Circuit Breaker Pattern
How to keep your service partially alive when a dependency goes down, and how the circuit breaker pattern automates the decision to stop trying.
Eliminating Single Points of Failure in Your Web Stack
A practical walkthrough of where SPOFs hide in a typical web stack and how to engineer them out before they take your site down.
Health Checks Done Right: Liveness vs Readiness vs Deep Checks
Learn the difference between liveness, readiness, and deep health checks — and how to implement each one correctly so your monitoring actually catches real problems.
Setting Realistic SLOs, SLAs, and Error Budgets
A practical guide to defining uptime targets that your team can actually hit, measure, and defend.
How to Design for Five-Nines (99.999%) Uptime
A practical engineering guide to the architecture, tradeoffs, and operational discipline required to hit 99.999% availability.