With this extension, Dynatrace will ingest metrics from the complete set of over 80 Azure Monitor services that span application and microservices workloads, as well as infrastructure-related services. This means metrics from services such as Azure HDInsight for Apache Hadoop, Spark and Kafka, Azure Container Instances for easy container deployment, and Azure Kubernetes Service are now automatically combined with the distributed tracing, log, user experience, and other observability data already processed by the Dynatrace platform. With this richer data set from Azure, Dynatrace’s Smartcape® which continuously maps a customer’s full-stack topology, and the Dynatrace AI engine, Davis™, can instantly identify and prioritize a broader set of issues and anomalies in Azure environments, and provide even more precise answers, saving organizations time, money, and resources.
“Dynatrace is purpose-built for cloud environments such as Microsoft Azure, with automation and intelligence at the core,” said Steve Tack, SVP Product Management, Dynatrace. “While we have always provided distributed tracing and code-level insights for applications running on Azure, extending our platform to ingest all metrics from all Azure Monitor services enables Dynatrace and Azure customers to migrate more services to the cloud and transform even faster, with greater confidence and less risk.”
“The need for faster digital transformation is driving organizations to increase their investment in cloud-native development using Microsoft Azure,” said Casey McGee, Vice President, Global ISV Sales, Microsoft. “We are pleased that Dynatrace is extending its AI-powered Software Intelligence Platform to ingest metrics from all Azure Monitor services, enabling better automation and intelligence, both of which are critical for customers as they transform.”