Root Cause Automation in Staging and Production
Know when and why code breaks. Deliver great customer experiences without compromising on reliability.
Customers who trust OverOps
Continuous Reliability – Delivered
OverOps analyzes code in staging and production to automatically detect and deliver root cause for all errors – with no dependency on logging.
Automated Detection
Deploy Fast. Fix Faster.
No more surprises. Get alerted on new and critical errors in staging and production via automated anomaly detection and machine learning.
Root Cause Analysis
Source Code and Variables
ARC AI™ analyzes application code in real-time to deliver the complete source code, variables, DEBUG logs and JVM state behind any error.
Enterprise Routing
Right Developer. Right Time.
No more back-and-forth. Automatically route each issue to the correct person via JIRA, Slack, ServiceNow and more…
Smarter Logs & APM
See the Cause Behind Any Log or APM Error
OverOps directly links your logs and APM to the complete source code and variables behind any error or timeout.
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How to Avoid the Hidden Costs of a CI/CD Workflow
What people say
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- Executive Director of Product Engineering -
- Executive Director, Development and Architecture -
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The Complete Guide to Solving Application Errors in Production.
Seamless Integration into Your Workflow
“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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OverOps + Microsoft: Triage New and Critical Errors With Azure Boards [Part 2]
by Alex Zhitnitsky on 23/09/2020 at 16:19
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Static vs Dynamic Code Analysis: How to Choose Between Them
by Karthik Lalithraj on 18/09/2020 at 16:20
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OverOps + Microsoft: Streamline Error Resolution with Microsoft Teams [Part 1]
by Nicole Pitaro on 11/09/2020 at 17:43
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Risky COVID Business: Reliability Learnings from the Zoom Outage
by Tal Weiss on 27/08/2020 at 22:03
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You Code It, You Own It: Announcing OverOps Support for Git Blame
by Alex Zhitnitsky on 26/08/2020 at 00:01
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Where Does OverOps Fit in the CI/CD Pipeline?
by Alex Zhitnitsky on 21/08/2020 at 18:12
Blog: Why use active session sampling for database performance?🔍
This blog digs into the different approaches to database monitoring and the benefits and limitations of each.
Read more: https://www.dbmarlin.com/blog/2022-07-08-active-session-sampling