Observability

Incidents don’t fail teams, process does. Alerts fire, context is missing, and the same questions get asked while the outage clock keeps running. Without a clear incident flow, even small issues turn into drawn-out disruptions. This post breaks down incident management as it actually happens during live outages. Detection, triage, communication, resolution, and follow-up, where […]

Observability promises clarity, yet many teams still fly blind during incidents. Metrics spike, logs flood in, traces point everywhere, and the root cause stays buried. Without a clear approach, observability adds data but not answers. This guide frames observability the way operators actually use it. What signals matter, how metrics, logs, and traces work together, […]

Uptime looks simple until you have to explain it after an incident. A service shows “99.9%,” customers are upset, and someone asks how many minutes were actually down. Without a clear method, the number creates more confusion than clarity. This guide breaks uptime into something you can calculate, defend, and repeat. It covers the basic […]

Observability tools provide essential insights into the performance and health of systems, helping teams keep their systems up and running.  What observability tools do: Monitor system health: Track performance metrics and system behavior. Detect anomalies: Identify unusual patterns and potential issues. Provide insights: Offer detailed analysis and visualizations of system data. Facilitate troubleshooting: Help diagnose […]

When it comes to managing services effectively, terms like SLA, SLO, and SLI are often thrown around like confetti at a parade. They’re in meetings, in documents, and even in casual office conversations. But if you’re new to the field or simply haven’t had the chance to dig into these acronyms, they can feel like […]