The work it covers

  • Instrument once, with open standards

    Any OpenTelemetry SDK or Collector, plus a Java agent that needs no code changes.

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  • Find the slow call

    Service map, trace waterfall and flame graph, with logs linked to their traces.

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  • Ask the data directly

    Metrics Explorer, log search and SQL in Data Explorer, over the same store.

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  • Test journeys continuously

    Playwright browser journeys and API checks from cloud or private agents.

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  • See real user impact

    Core Web Vitals, JavaScript errors and funnels from real visitors.

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  • Gate releases

    Trigger a workbook from CI and continue the deploy only on a pass. Results can appear as a GitHub check.

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  • Own reliability

    SLOs with error budgets, on-call schedules, escalation, and war rooms that open on fast burn.

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  • Monitor your AI features

    Score the output of your own LLM agents for quality and safety, and alert on regressions.

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A release with VerOps

  1. 01

    Before

    CI triggers a workbook that runs the critical journeys and API checks against staging, and waits for pass or fail.

  2. 02

    During

    Traces, logs and RUM show latency and errors as traffic moves to the new release.

  3. 03

    After

    Synthetic tests keep running on a schedule. If a journey fails repeatedly or an SLO burns fast, a war room opens with the evidence.

Limits worth knowing

  • The automatic Java agent supports Java 11 and later. Other languages use OpenTelemetry instrumentation.
  • There is no continuous profiler and no session replay.
  • The public ingest endpoint takes OTLP over HTTP. gRPC works between your services and a Collector you run.

Try it on your own systems

Create a workspace, or tell us about your environment and we will walk you through it.