How Red Hat OpenShift 5 simplifies incident diagnosis with supervised AI

Prometheus metrics, traces, and logs are rarely missing in modern enterprise environments. Most platform teams already have plenty of telemetry at their disposal. The real bottleneck is the sheer volume of data a human must parse before taking meaningful action during an incident.On a busy cluster, this creates a familiar and exhausting pattern: an alert fires, an engineer opens 3 different consoles, brings up a Prometheus Query Language (PromQL) scratchpad, executes a log query, and spends 20 minutes debating whether…

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