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Using Log Analytics to Drive Observability
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Using Log Analytics to Drive ObservabilityBy Observe TeamSep 2, 2021Logs, metrics, traces. All of these events are different kinds of machine data that can help you monitor and observe your system. Logs in particular are useful for finding out what happened and the root cause. Metrics and traces can tell you effects and alert you proactively, but you’re going to need to roll up your sleeves and dive into logs (or traces if you have them) to ascertain the root cause.When a system grows in complexity beyond a single component, it becomes difficult to correlate data. Imagine trying to SSH into 300 servers and grep logs from your laptop. Or In the world of Kubernetes, running the “kubectl” command gets unruly when you have a thousand containers spread across different clusters. When you find yourself facing this level of complexity, it’s time to put those logs into a log analytics tool.The data in logs is indispensable. But accessing that data is increasingly difficult, even with a log ana...
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