OverOps
OverOps is a software monitoring and debugging platform for Java and .NET applications. It provides real-time error detection, debugging, and root cause analysis to help developers quickly resolve issues in production.
OverOps: Real-Time Error Detection & Debugging for Java & .NET
Real-time error detection, debugging, and root cause analysis for Java and .NET applications, helping developers quickly resolve issues in production.
What is OverOps?
OverOps is a production monitoring and debugging platform optimized for Java and .NET applications. It gives software teams code-level visibility into production failures and exceptions to help quickly identify, triage, and resolve issues.
Key features of OverOps include:
- Real-time error and exception reporting - OverOps captures and analyzes failures as they occur in your production environment and automatically surfaces the root cause.
- Smart Debugging - patented technology automatically identifies the exact line of code responsible for the error to enable faster debugging.
- Anomaly detection - uses machine learning algorithms to detect anomalies and identify new issues proactively before they impact customers.
- Forensics - OverOps stores a complete reconstruction of the system state including variable values to enable debugging of past failures.
- Alerting and integration - flexible alerts can be configured to notify on-call engineers of critical events via email, Slack, PagerDuty etc. OverOps also integrates with popular DevOps tools.
OverOps is built to scale for infrastructure of any size while minimizing overhead. It provides actionable insights into the real root causes behind software failures in production to help engineering teams quickly resolve issues, improve code quality, and deliver highly reliable software.
OverOps Features
Features
- Real-time error and exception monitoring
- Root cause analysis
- Advanced debugging capabilities
- Integration with popular development tools
- Code-level visibility into production
- Automated alerting and reporting
Pricing
- Free Trial
- Subscription-Based
Pros
Reduces mean time to resolution for bugs
Improves developer productivity
Provides visibility into production code
Integrates into existing workflows
Helps prevent application downtime
Easy to set up and use
Cons
Can generate large volumes of telemetry data
Requires instrumentation of application code
Advanced features may require more customization
May not catch every edge case bug
Can have a learning curve for some developers
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