Use AI to enhance software delivery with automated SLO tracking and change impact analysis for better reliability.
OverOps is a cutting-edge software platform designed to help developers and DevOps teams identify, troubleshoot, and resolve critical software errors in real-time. By leveraging advanced machine learning algorithms and big data analytics, OverOps provides unparalleled insights into application performance, enabling teams to proactively address issues before they impact users.
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Instantly identifies and alerts on critical software errors as they occur, ensuring rapid response times.
Automatically pinpoints the root cause of errors, significantly reducing troubleshooting time.
Utilizes machine learning to predict potential issues and provide actionable insights for preemptive resolution.
Analyzes vast amounts of application data to uncover hidden patterns and insights, enhancing performance optimization.
Easily integrates with existing development and monitoring tools, ensuring a smooth workflow.
Allows for the customization of alert thresholds and notifications to match specific team needs.
Generates detailed reports on application performance and error trends, facilitating informed decision-making.
Designed to scale with your application, ensuring consistent performance regardless of size or complexity.
Offers an intuitive and easy-to-navigate interface, making it accessible for users of all skill levels.
Provides 24/7 monitoring of applications, ensuring issues are detected and addressed at any time.
San Francisco, California, USA
Tal Weiss, Chen Harel
https://www.overops.com
Software Development, DevOps, Application Performance Management
Machine Learning, Big Data Analytics, Real-Time Monitoring
Fortune 500 companies across various industries including finance, healthcare, and technology
Recognized as a leader in application performance management by several industry analysts and publications
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