Epok vs Sentry
Sentry is application error and performance monitoring — deep, developer-first visibility into exceptions, releases, and slow transactions in your app code. Epok is a multi-signal detection engine that watches logs, metrics, traces, infrastructure, RUM, and session replay together and drafts the cited root cause. They overlap on errors but solve different halves of the problem — many teams run both.
Representative production boundary · shadow mode · no cutover · pre-agreed scorecard
Keep Sentry. Make Epok prove what it adds.
Choose a representative boundary
Mirror a service group, ownership domain, environment, or critical user journey through OTel or an open shipper.
Keep every alert
Sentry remains the control while Epok watches the same production window.
Score the incident cohort
Classify correct, incorrect, abstained, and missed outcomes; measure alert fanout, time to verified cause, and responder effort.
Success is not “data arrived” or one anecdote. Expansion requires performance across the agreed incident cohort and operational gates.
| Dimension | Sentry | Epok |
|---|---|---|
| What it is | Developer-facing application monitoring built around error tracking, with tracing, session replay, logs, profiling and cron monitoring layered on. | A multi-signal detection engine. Logs, metrics, traces, infrastructure, RUM and session replay correlated on one incident canvas. |
| Billing basis | Prepaid quotas plus pay-as-you-go, metered per category: errors, spans, replays, logs, application metrics, cron monitors, attachments and profiling hours each count separately. | Each plan includes one unified volume allowance. Paid-plan overage is $0.20/GB; there is no per-host, per-user, per-custom-metric, per-query or cardinality line. |
| Who runs it | Hosted SaaS, with a published self-hosted distribution. | Hosted SaaS. Nothing for you to deploy, scale or upgrade. |
| Data collection | Sentry SDKs embedded in your application code. | No proprietary Epok server agent: send with OTLP or an open shipper such as Vector, Fluent Bit, Fluentd or the OpenTelemetry Collector. Browser RUM and replay require web instrumentation. |
| How detection is set up | Errors are grouped into issues automatically; alert rules fire on issue and metric conditions. | Immediate rule packs begin matching supported signals as data arrives. Statistical detectors activate after they have the required history and signal coverage; threshold rules remain available when you want them. |
Sentry facts checked against Sentry pricing on 2026-08-03. Vendors change packaging and pricing — tell us if anything here has gone out of date and we'll fix it.
Where Sentry wins
Sentry is the best tool in the world for application errors. Stack-trace grouping, source maps, breadcrumbs, release health, and the developer workflow around fixing a specific exception are all first-class and hard to beat. If your primary need is deep, in-app error and performance visibility wired to your commits, keep Sentry. Epok covers the rest of the stack — infrastructure, silent services, cross-signal cascades — and drafts the cause across all of it.
- —You need detection across infrastructure, metrics, and logs — not just SDK-instrumented app errors.
- —You want to catch services going silent, host/container failures, and cascades Sentry doesn't watch.
- —You want cited root cause that spans logs, traces, and metrics together.
- —You'd rather point a log shipper at one endpoint than embed an SDK in every runtime.
- —Your priority is deep application error monitoring with stack-trace grouping and source maps.
- —Release health and crash-free-rate analytics are central to your workflow.
- —You want errors wired tightly to commits, breadcrumbs, and the developer's fix loop.
- —Front-end/mobile exception capture is your main use case.
Add Epok as a second destination first.
Epok isn't a drop-in replacement for Sentry's in-app error UX — it's the detection and root-cause layer over your whole stack. Most teams add Epok alongside Sentry rather than replacing it.
Ship logs, metrics, and traces to Epok via OTLP, Loki push, Elasticsearch bulk, syslog, FluentBit, Vector, or Prometheus remote_write — no SDK changes to your existing Sentry setup.
Run both: keep Sentry on app exceptions and let Epok watch infrastructure, silent services, and cross-signal incidents.
Keep Sentry. Make Epok prove the incident outcome.
Run a controlled shadow evaluation across a representative boundary. Compare both systems on the same incident cohort, then expand only after Epok clears the agreed quality, security, and operational gates.
* Capability comparisons, and any time or effort estimates, reflect our reading of publicly documented features and our own deployment experience as of August 3, 2026. They may not capture every plan, feature, or recent change — verify current capabilities directly with each vendor.
Datadog, New Relic, Splunk, Elastic, Grafana, Loki, Amazon CloudWatch, and other product and company names are trademarks of their respective owners. Epok is not affiliated with, endorsed by, or sponsored by them.