Dynatrace has announced new AI-powered data observability capabilities for its analytics and automation platform. With Dynatrace Data Observability, teams can confidently rely on all observability, security, and business events data in Dynatrace to fuel the platform’s Davis AI engine to help eliminate false positives and deliver trustworthy business analytics and reliable automations.

Dynatrace Data Observability enables business analytics, data science, DevOps, SRE, security, and other teams to help ensure all data in the Dynatrace platform is high quality. This complements the platform’s existing data cleansing and enrichment capabilities provided by Dynatrace OneAgent to help ensure high quality for data collected via other external sources, including open source standards, such as OpenTelemetry, and custom instrumentation, such as logs and Dynatrace APIs. It enables teams to track the freshness, volume, distribution, schema, lineage, and availability of these externally sourced data, thereby reducing or eliminating the need for additional data cleansing tools.

Bernd Greifeneder, CTO at Dynatrace, said, “A valuable analytics solution must detect issues in the data that fuels analytics and automation as early as possible. Dynatrace OneAgent has always helped ensure that the data it collects is of the highest quality. By adding data observability capabilities to our unified and open platform, we’re enabling our customers to harness the power of data from more sources for more analytics and automation possibilities while maintaining the health of their data, without any extra tools.”

Dynatrace Data Observability is expected to be generally available for all Dynatrace SaaS customers within 90 days .