Dynatrace

Dynatrace’s vision is for a world where software works perfectly. How we get there is through AI-driven, intelligent observability. Observability is the means to deeply understand your infrastructure and applications: how things are related, how they interaction, and how users are experiencing your digital landscape.

As a technical term, in IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Observability has become more critical in recent years as cloud-native environments have gotten more complex, and the potential root causes for a failure or anomaly have become more difficult to pinpoint.

Cloud services rely on a uniquely distributed and dynamic architecture. Observability moves beyond monitoring (beyond metrics and logs) to incorporate the ways that organizations interpret performance data and to include a broader range of data types, including metadata, user behavior, topology and network mapping, even code-level details.

Because modern cloud environments are dynamic and constantly changing in scale and complexity, teams neither know about nor can monitor most problems. Observability addresses this common issue of “unknown unknowns,” enabling you to continuously and automatically understand new types of problems as they arise.

Dynatrace is a unified platform because it incorporates all elements of observability, in addition to traditional monitoring and management tools:

• Application performance monitoring
• Infrastructure monitoring
• Digital experience, user and synthetic monitoring, and session tracking
• Security analytics and protection
• Business analytics

Observability is more than data points: it puts data within context. Dynatrace does this through a unique hypermodal AI. 

The core of Dynatrace analytics is Davis, a causal AI. This is a deterministic system, based on the relationships within your specific environment (as opposed to machine learning-based system). It uses a step-by-step fault-tree analysis to precisely identify the cause of problems in near-real time. This adds crucial intelligence to your operations and allows for more effective responses.

Dynatrace also includes predictive AI for continuous forecasting and anomaly detection and generative AI which is used in reporting, dashboards, and workflows within Dynatrace and for interactive support.