What is AIOps and why does it matter?
Artificial intelligence for IT operations (AIOps) refers to the automation of IT operations tasks through artificial intelligence (AI). AIOps platforms free ITOps and drive better business outcomes, by ingesting operations data to identify and resolve issues automatically. The core of an AIOps platform is the AI that identifies problems and the root cause, thereby enabling the automation. Typical platforms utilize machine learning (ML); however, these AI techniques can only suggest a likely root cause, which limits their utility. Davis is different.
Get to the precise root cause and eliminate alert storms
Davis continually processes billions of dependencies in milliseconds, automatically identifies problems and provides precise root cause analysis. Unlike machine learning approaches there is no guessing or time-consuming model training. With the root cause identified, you can fix problems before they impact customer experience and have more time to innovate.
Automatically understand dynamic cloud environments
Dynatrace continuously auto-discovers your changing environment in real-time. Davis detects entity relationships at start-up with zero manual configuration. Even containerized processes running microservices in dynamic Kubernetes environments are mapped automatically.
Harness advanced observability
Advanced observability combines contextual information with artificial intelligence and automation. Dynatrace extends the three pillars of observability (metrics, logs and traces) with with UX and topology information, so Davis understands the full context of the observed data. Open APIs provide easy ingestion of external data sources from your CI/CD pipeline, cloud platforms and service management tools for even broader AI processing.
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Gartner recognizes Dynatrace as a 2020 Magic Quadrant Leader for APM
Gartner's 2020 Magic Quadrant
Named a leader for the 10th time
Gartner's Critical Capabilities
Scored highest in 5 out of 6 use cases
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More about AIOps
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