Anomaly Detection via Slack
with Code Analysis and Machine Learning

OverOps runs at the JVM level to capture the complete state behind any issue at the moment of event.

Anomaly Detection flags new issues and regressions in QA, Staging and Production.

Deliver rich context directly to the right developer - code and variables.

Slack
ARC - Automated Root Cause
for Any Critical Issue with One Click

- Variable state across the entire call stack, 10 levels into the heap.

- Source code executing at the moment of event.

- JVM State as well as environment and container.

- Last 250 of DEBUG and TRACE level statements.

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Code-aware Routing
Right Developer. Right Time.

Automatically route issues to the developers who can resolve them based on code ownership.

ARC Links provide a complete reproduction of the error.

Detect and dispatch anomalies and regressions for analysis by different teams.

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Slack
Slack
See the Invisible
(and More)
with No Dependency on Developer Foresight

Detect 100% of exceptions at the JVM level, even if uncaught or swallowed by the code.

See DEBUG statements regardless of log verbosity settings.

Get the complete source code, stack trace and variables for any event with no dependency on whether they were logged.

Integrates Into Your Software Delivery Lifecycle
splunk
appdynamics
jira
slack
dynatrace
elastic
newrelic
datadog
hipchat
grafana
graphite
pagerduty
servicenow
jenkins
webhook
See all
Low Overhead.
Quick Time to Value.

No Change to Code or Build

A native micro-agent operates between the JVM and processor.

< 3% Throughput / CPU

Runs in the world's most demanding environments.

< 100 Mb Network per Hour

No dependency on logs.
Streams directly from the JVM.

“I haven’t come across any tool that can give our team the wealth of information for each issue like OverOps can”
Sumit Nagal
Principal Engineer in Quality, Intuit
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