Logs shouldn't be a second job.

The logging industry has a strange fixation on storage and search. Bigger indexes. Faster queries. More dashboards. But the hardest problem was never “can I find this log line?” It was “did something just break and I don't know about it yet?”

And right behind it: “I know something is wrong, but I'm staring at ten thousand log lines and I don't know what to search for.”

Enterprise tools solved this with complexity. Build dashboards. Write alert rules. Tune thresholds. Maintain runbooks. Hire a platform team. For a 500-person company with a dedicated SRE team, that works. For everyone else, it's an impossible ask.

Small teams (five engineers, ten, twenty) ship fast. They don't have time to build observability infrastructure. They need something that just works the moment logs start flowing.

Epok is a log intelligence engine. You send it your logs. It watches them for you. No dashboards to build, no alert rules to write, no thresholds to tune.

It detects new errors the moment they appear. Not buried in a query result, but flagged immediately with the exact message pattern, which services are affected, and how many times it's fired. It notices when a service goes silent, the most dangerous kind of failure, where a process dies and nobody notices because there are no error logs, just absence. It learns your log volume patterns and tells you when something deviates: a spike at 3am, a drop during peak hours.

And when something does break, Epok shows you why. What Changed runs seven parallel analysis methods to compare the anomaly window against your baseline. Dimension Lift surfaces which field:value combinations are overrepresented in errors. Root Cause Ranking combines temporal correlation and causal ordering to give you a ranked list of contributing factors, not just a wall of logs.

All of this happens automatically. Connect your logs, and every intelligence feature activates on its own. New error detection works from the first log. Silence detection kicks in within an hour. Volume baselines reach full precision over seven days.

We believe observability tools should observe. Not wait for you to ask the right question. Proactively tell you what's wrong.

We believe the default experience should be useful on day one, not after a week of configuration. If you have to build a dashboard before you get value, the tool has failed.

We believe cost should be predictable. Nobody should need a spreadsheet to estimate their logging bill. Epok has flat, simple pricing. You know what you'll pay before you sign up.

And we believe speed matters for more than just vanity. When something breaks at 2am, the difference between a 200ms search and a 30-second search is the difference between fixing it in your boxers and getting properly dressed because this is going to take a while.

We didn't build another log database. The world has enough of those. We built the layer that watches your logs and decides something is wrong: anomaly detection, error fingerprinting, silence alerts, the intelligence that was missing.

We accept logs over every protocol that matters: Loki, OTLP, Elasticsearch bulk, FluentBit, Fluentd, syslog, CloudWatch, raw JSON. If you can send HTTP, you can send to Epok. No proprietary agents, no vendor lock-in.

Epok is built for small teams that ship fast and want to know immediately when something breaks. Teams running on AWS, GCP, Railway, Render, Fly.io, bare metal — wherever you deploy, your logs can flow to Epok. If you run Kubernetes, Epok understands your pods: 20 built-in rules for CrashLoopBackOff, OOMKilled, image pull failures, and more.

If you're a team of five shipping features every day and you don't have time to set up Grafana dashboards and write PromQL alert rules, Epok is for you.

If you're an indie hacker running three services and you want to sleep knowing that if something breaks at 3am, your phone will buzz, Epok is for you.

If you're tired of paying Datadog prices for features you had to build yourself anyway, Epok is for you.