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New Relic monitors issues. OverOps lets you fix them in minutes.

Debug less. Develop more.

See all of your errors
in New Relic.
OverOps tells which code and variable state led there.
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Try OverOps’s plug-in for New Relic

OverOps tracks all error types and gives you data which was previously unavailable:
caught/ uncaught errors, logged errors, & network errors.

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Code breaks.
Get actionable insights once it happens

New Relic stops at the stack trace level. OverOps shows you the methods, source code,
and variables which caused a bug.

New Relic

OverOps

  • MoviesValidator.validateMovie
  • MoviesInserter.validateMovie
  • MoviesInserter.putMoviesInDb
  • PutMoviesInDBDaemon.work
  • Daemon.doRun
  • GracefulTask.internalRun
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See which errors really impact your application

OverOps was built for environments where millions of errors happen every day.

Only a few really matter - we’re here to tell you which ones.

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Get complete visibility and see which errors:

  • Are coming from code that was recently modified.
  • Are new or increasing in rate.
  • Keep happening even after marked as fixed.
Marked as resolved
3 days ago
Last 24 hr270%

And here’s the real magic:
See what caused each bug. Fix it in minutes.

Create a connection between developers and production errors for immediate resolution.

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Alerting is not enough. OverOps provides developers and DevOps the information they need to fix bugs. See the code and variable values which caused each error - right as if you were there.

  • See variable values across the stack, without logging a single line.
  • See the root cause in your code - even across machines.
  • See multiple reproductions for each error.
  • Easily share between developers, DevOps and QA.

Made for extreme performance restrictions
Max 3% CPU

OverOps is built from the ground up to continuously run in high-scale environments.

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  • High-performance sampling tracks all errors in your application
    with low CPU and throughput overhead. Smart algorithms control when
    error data is collected.
  • CPU overhead is throttled at 3%. Since data is only collected for errors,
    OverOps does not consume material network bandwidth or disk space.
  • No overhead to the JVM heap or GC time.