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.
What is AIOps?
The term AIOps, first coined by Gartner, refers to the practice of using artificial intelligence (AI) to automate and enhance IT operations. Practically, this means ingesting data from every layer of the stack and continuously analyzing it with AI techniques to identify issues, reveal answers, and automate remediation.
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.
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.
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.
The state of AI 2024
This report explores these challenges and highlights how IT leaders can overcome them by taking a composite approach.
AIOps Done Right
Organizations are facing increasing pressure from growing IT complexity, customer demands, and ongoing security vulnerabilities like Log4Shell. In response, IT teams are embracing new strategies that leverage artificial intelligence for IT operations — AIOps — to automate and improve how they develop and release software.
Download our free eBook to learn the best practices for developing an AIOps strategy that drives efficiency, innovation, and better business outcomes by:
- Automating the full IT lifecycle, from development and testing to incident detection and remediation
- Keeping pace with increasing change rates at scale in hybrid cloud environments
- Promoting business resilience with observability into business analytics and KPIs
Dynatrace is a G2 Leader in AIOps
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.
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.
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Davis AI
Our hypermodal AI uniquely combines predictive AI, causal AI, and generative AI. Davis® AI uses high-fidelity topology, metrics, traces, logs, and user data to deliver precise answers, intelligent automation, and AI recommendations.
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AutomationEngine
Our answer-driven automation technology leverages causal AI to intelligently power BizDevSecOps workflows throughout multicloud ecosystems.
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AppEngine
Our secure, serverless, auto-scaling runtime environment makes it easy to create custom, compliant, data-driven apps that address the use cases most important to you.
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Grail
Our massively parallel processing (MPP) data lakehouse is purpose-built to ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
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Smartscape
Our dynamic topology mapping technology automatically identifies and maps interactions and relationships between applications and the underlying infrastructure. As new microservices come up or go away, the Smartscape topology map continuously updates in real-time.
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OpenPipeline
Our high-performance stream processing is designed to ingest, process, enrich, contextualize, and persist data from any source, in any format, at any scale.
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OneAgent
Our single agent technology deploys only once on a host and instantly starts collecting all relevant metrics along the full application-delivery chain. Install it and forget it—we take care of everything.
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PurePath
Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.
Just a few of our enterprise customers
The All-in-one Platform
AIOps is just one part of our platform. See how we cover it all, in one automatic, AI-powered platform
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