AIOps & APM
AIOps (or AI for IT Operations) is a concept that becomes increasingly important with each passing day as environments become more segmented and more complex, making observability a potential headache for especially IT operations teams.
Monitoring of on-premise server- and application metrics & logs no longer provides a full picture, and monitoring cloud infrastructure and on-premises infrastructure separately fails to provide the correlation needed to troubleshoot applications that could span multiple technologies and environments.
Innovation and fast feature delivery are limited when businesses don’t have a clear, consolidated view of their applications, infrastructure, and real actionable user metrics that feed into the design and development process. How then do businesses ensure that they have actionable information to aid in operations and development?
Dynatrace’s Davis AI 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.
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.
