The failures that don't
trip a threshold alert.
The worst incidents rarely look like a metric crossing a line. They're a deploy that broke something quietly, a service that went silent, a pod that crash-loops, an error nobody has seen before. Here's how Epok catches each one.
Breaking deploys
The release looked green and quietly broke something. Epok ties the regression back to the deploy — named cause, blast radius, cited evidence.
See how →Silent services
A process dies, a cron stops, a consumer stalls. No errors, just absence — the failure threshold alerts can't catch. Epok notices the silence.
See how →Kubernetes crashes
Crash loops, OOM kills, failed scheduling — scattered across pod logs and events. Epok reads them from the first log, no agent required, and folds in kube-state and host metrics when you send them.
See how →New errors in production
A new exception is one line in ten thousand. Epok fingerprints it, compares against your baseline, and flags it within minutes — grouped and scoped.
See how →Watch it catch yours. No signup.
The live demo runs detection on real-shape data — every alert cited back to the line behind it. Or send your own logs in the 14-day trial.