Logs shouldn't be a second job.

The logging industry has a strange fixation on storage and search. Bigger indexes. Faster queries. More dashboards. The hardest problem was never “can I find this log line?” It was “did something just break and nobody knows yet?”

And right behind it: “something is wrong, but nobody knows what to search for in ten thousand log lines.”

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, the bar is too high.

Teams under fifty engineers ship fast. They don't have time to build observability infrastructure. They need something that emits a real alert from the first hour of logs.

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 where to look. What Changed runs nine 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, error categorization, and causal ordering to give you a ranked list of probable causes with transparent scoring — 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.

Observe, don't wait. Nine rule packs fire from the first log line. Volume baselines build over seven days. You don't configure detection — it configures itself.

Day-one value, not day-seven. If you have to build a dashboard before you get value, the tool has failed. Epok ships alerts before you ship your first config change.

Predictable cost. $500/mo flat for 1.5 TB. No per-query fees, no per-host charges, no cardinality tax. You know what you'll pay before you sign up.

Speed is a feature. When something breaks at 2am, fast search is the difference between fixing it before the SLO breaches and after.

Epok is not another log database. The world has enough of those. It's the intelligence layer that watches your logs and decides something is wrong: anomaly detection, error fingerprinting, silence alerts — the part that was missing. Most “AI for ops” tools sit on top of Datadog or Grafana and require an existing observability stack underneath. Epok replaces the need for one.

Logs come in 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 teams that ship fast and want to know immediately when something breaks. Teams running on AWS, GCP, Vercel, Railway, Render, Fly.io, Kubernetes, bare metal — wherever you deploy, your logs can flow to Epok. If you run Kubernetes, Epok understands your pods: 70+ built-in rules for CrashLoopBackOff, OOMKilled, image pull failures, and more.

If your team ships every day and doesn't have time to set up Grafana dashboards and write PromQL alert rules, Epok is for you.

If you're a startup CTO running a handful of 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.

The log market got stuck on a local maximum. Every major log product spent the last decade making storage cheaper, search faster, and dashboards prettier. Almost no one worked on the harder problem: telling you that something is wrong without you asking.

A new error class shows up. A service quietly stops logging. A deploy breaks something downstream three services away. The log product itself won't tell you. You find out when a customer complains.

Epok skips the parts that are already solved — it speaks Loki, OpenTelemetry, Elasticsearch, syslog; bring your existing shipper — and concentrates the entire product on detection. The first version ran against real production logs for weeks before any customer deployment. Every detector, every suppression rule, every piece of explanation copy exists because something specific went wrong in that period and the next version was built to catch it.

Reach the team: hello@getepok.dev — answers within a day, no sales filter.