Quick Answer An escalation policy is a documented rule set that defines what happens when an incident alert is not acknowledged within a specified time window. It specifies who gets paged, in what order, through which channels, and with what timing — automatically, without requiring human intervention. A well-configured escalation policy is the difference between […]
Quick Answer An incident response plan is a documented framework that defines how an organization detects, responds to, and recovers from IT service disruptions. It specifies roles and responsibilities, severity classification criteria, escalation paths, communication procedures, and the steps for restoring service. Without one, teams improvise under pressure — which is the primary cause of […]
Quick Answer AIOps (Artificial Intelligence for IT Operations) is the application of machine learning and AI to automate and enhance IT operations — particularly alert correlation, anomaly detection, incident routing, and root cause analysis. Rather than replacing engineers, AIOps reduces the volume of noise they face, surfaces the signals that matter, and accelerates every phase […]
Quick Answer Downtime is any period when a system, service, or application is unavailable or too degraded to function normally. It can be planned — a scheduled maintenance window — or unplanned — the result of a failure, bug, or outage. For engineering teams, downtime is the direct measure of what SLAs are built to […]
Quick Answer MTBF (Mean Time Between Failures) is the average time a repairable system operates between one failure and the next. It is the primary metric for measuring how reliable a system is — not how fast you recover when it breaks, but how rarely it breaks in the first place. A higher MTBF means […]
Quick Answer Chaos testing is the practice of intentionally injecting failures into a system to verify how it behaves under real-world stress before an actual outage forces the question. Rather than waiting for production to break unexpectedly, engineering teams deliberately introduce faults — network latency, pod crashes, disk failures — in a controlled way. The […]
