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For DevOps and SRE
Detect Unreliable Code
Identify critical errors and slowdowns in every release. Capture the complete context to reproduce
Certify Every Release
- New errors and their impact to the application
- Increasing errors whose rate has spiked
- Slowing methods compared to their baseline
Know When Code Breaks
- Detect new, critical and increasing errors
- Alert the right developer based on code ownership
- Resolve using complete code variables and DEBUG-logs
Increase Log Verbosity
- 250 lines of DEBUG-level logging for any error
- No Disk IO – captured directly from the JVM/CLR
- High verbosity logging without incurring Splunk cost
Mark O'falherty | Business to consumer IT Director
“OverOps' allows us to drive ‘go-no-go’ decisions, blocking a release if it falls below a quality threshold.”
Detect Anomalies
- Deduplicate all exceptions and log errors
- Machine Learning identifies spikes and slowdowns
- Correlate spikes to host CPU, Mem, GC, Threads…
Enhance Your APM
- Complete state of the code + DEBUG logs for every error
- AppDynamics – see the cause behind slow transactions
- NewRelic – see the cause behind every reported error
Low Overhead. Quick Time to Value.
Runtime Code Analysis
OverOps analyzes code at runtime with a lightweight micro-agent, powering the world’s most demanding applications
Identify
Code Quality Gates
Integrated into testing, CI/CD and pipeline solutions. Block unreliable releases before they’re promoted to UAT and production
Prevent
Feedback Loops
Integrated with logs, APM, ticketing, and alerting. Source code, variable state, and operational context for every critical exception.
Resolve
Integrate into Your Tooling
- Pipeline & CI/CD – block unreliable releases from being promoted
- Ticketing & Alerting – deliver the full context to the right developer
- APM & Logs – reproduce every error or slowdown
View All Integrations
Featured Content
Continuous Reliability
Continuous Reliability: The Missing Piece in CI/CD
Learn More >
2020 Survey Report
How are today’s engineering teams addressing the speed vs. stability paradox?
Read Now >
Blog Post
Handling ‘Known Unknowns’ and ‘Unknown Unknowns’
Read Now >
