DevOps articles
Uptime checks, incident response, SLA tracking, and the parts of vendor monitoring that actually matter when something breaks.
10 articles in DevOps · page 1 of 2
Fail Over or Wait It Out: Deciding During a Vendor Outage
Failover has its own failure rate and its own recovery cost. The four inputs that decide it, and how to pre-commit the call before you are under pressure.
Chaos Engineering Introduction: Build Reliability by Breaking Things on Purpose
A practical chaos engineering introduction: principles, game days, third-party failure injection, and how to start without taking production down.
Kubernetes Cluster Monitoring: A Complete Guide for SRE Teams
What to monitor in a Kubernetes cluster, which metrics matter, how to detect control plane issues, and how to combine internal metrics with cloud provider status.
Serverless Monitoring: How to Track AWS Lambda Reliability in Production
How to monitor AWS Lambda in production: cold starts, throttles, async failures, cost spikes, and how regional AWS status fits into the picture.
PagerDuty Vendor Outage Alerts: How to Page the Right Incidents and Suppress Noise
Route vendor outage alerts to PagerDuty without overwhelming on-call by tiering dependencies, filtering severity, suppressing maintenance, and testing escalation paths.
Understanding SLA Metrics: MTTR, Uptime, and Incident Response
What do 99.9% and 99.99% uptime actually mean? A practical guide to SLA metrics every engineering team should track.
How to Build an Incident Response Runbook for Third-Party Cloud Outages
Most incident runbooks only cover outages you cause. Here's a template for handling third-party vendor outages, from detection to customer communication to postmortem.
On-Call Best Practices: Setting Up Third-Party Outage Alerts That Actually Work
Most on-call setups only alert on your own infrastructure. Here's how to extend your alerting to cover the third-party services your stack depends on, without drowning in noise.
Alert Fatigue Is Killing Your On-Call Culture, Here's How to Fix It
Too many alerts, too little signal. Here's a practical framework for reducing alert noise from third-party monitoring without missing the incidents that actually matter.