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Davis, the Dynatrace AI-engine, consumes external data for automation and AIOps

Speed is key to being a digital leader and providing great holistic experiences to customers. The focus on speed of innovation, time to market, and mean time to resolution of problems, have changed how software is developed, built, and run. Traditional…
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Understand complex issues instantly with new root-cause analysis capabilities

AI and fully automated root-cause detection of performance issues are superior to any manual approach to analyzing highly dynamic software service architectures. It’s simply impossible for a human operator to manually follow the highly…
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AIOps done right: introducing the next generation of software intelligence

In the ever increasingly competitive software market, it’s important to stay ahead of the competition – always looking five, ten years ahead of your current position. To do this, and do this well, you need to innovate. And that’s…
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How to write a Custom Dynatrace Problem Notification Integration

At Dynatrace, we have AI-detected Problems, which are opened when Dynatrace detects anomalies with your applications (impacting end users), services (impacting service levels) or infrastructure (unhealthy system components). Because of Dynatrace’s…
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Applying Dynatrace AI into our Digital Performance Life: Best of December 2017

Share Your PurePath was my personal program to help Dynatrace AppMon users make sense of their captured application performance data. I analyzed their exported PurePaths and sent my findings back in a PowerPoint. Thanks to several hundred users…
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Four key techniques of Cognitive Operations

Forrester recently published the report: “Vendor Landscape: Cognitive Operations”, defined as the “AI version of IT ops management and application performance management.” While cognitive ops solutions can help IT manage…