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.

AIOps (AI for IT Operations)

Davis®, Dynatrace’s AI engine, continuously looks for issues and provides precise root cause, so resolution can happen in minutes, before they become expensive problems.

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We identified three key phases for our transformation at BT. First, we needed to transform digital operations to modernize our processes and services, driven by the move to the cloud. Second, we wanted to embrace AIOps to automate issue detection and analysis, so we could overcome the complexity of a modern operating environment.We saw the unique combination of Dynatrace and ServiceNow as invaluable in providing that capability, through more intelligent, simplified, and automated service operations.

Alex Bell Chief Architect, BT

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Get to the precise root cause and eliminate alert storms

Davis continuously evaluates billions of dependencies in milliseconds, automatically identifies problems, and performs automated root cause analysis that accurately identifies all issues related to a single root cause. Unlike traditional 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.

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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.

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Deliver AI-powered answers from advanced observability data

Advanced observability combines contextual information with artificial intelligence and automation. Dynatrace extends the three pillars of observability (metrics, logs, and traces) with UX and topology information, so Davis understands the full context of the observed data and delivers precise answers. Open APIs provide easy integration of external data sources from your CI/CD pipeline, cloud platforms, and service management tools for even broader AI processing.

Free your teams with AIOps from Dynatrace

The Dynatrace AIOps platform redefines performance monitoring allowing your teams to focus on proactive action, innovation and better business outcomes.