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Observable product tutorials and best practices

Observability Academy organizes common issues, tutorials, and practical articles focusing on observability platforms, DataKit collection, APM application performance monitoring, RUM real user experience monitoring, log monitoring, log management platforms, Kubernetes monitoring, monitoring alerts, and API availability monitoring, helping teams build stable workflows from integration to troubleshooting.

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Common observability issues

What data should new teams integrate first?

It is recommended to first use DataKit to uniformly collect infrastructure, application links, logs, and key business metrics, then supplement RUM with real user experience monitoring, API availability monitoring, and alert rules according to scenarios.

What contexts should be looked for when checking for slow requests?

You can locate slow interfaces from APM application performance monitoring, then correlate logs, profiles, host resources, container status, and access experience data to confirm whether bottlenecks come from code, dependencies, networks, or resources.

How can surveillance alerts be made more usable?

First, define a few key alerts around service availability, error rate, latency, and resource capacity, then continuously reduce noise through event association, notification policies, and review records.

What is the difference between observability platforms and traditional monitoring?

Traditional monitoring focuses more on single metrics and fixed alerts, while observability platforms unify and associate Metrics, Logs, Traces, RUM, Profiles, Kubernetes, and cloud resource data, answering system anomalies in the same context.