Dynatrace has further strengthened its microservice monitoring capabilities on Microsoft Azure® with support for Windows Server Containers (Docker for Windows). By extending Dynatrace® to now include both Windows and Linux hosts, the platform can automatically monitor containerized environments, regardless of platform, and provide AI-powered problem identification and root causation of performance issues. This enables enterprises to have deeper visibility into the container technologies within their enterprise cloud environments, identify issues, and automatically remediate to deliver better software releases faster.
Docker containers simplify the process of packaging an application or microservice so it can be easily moved between hosts without requiring changes to the container image. Originally developed for Linux, Docker for Windows now allows for the creation of containers for Windows applications that can be deployed directly on a Windows host. When Dynatrace® is deployed on a Windows host, the software agent automatically detects any Docker containers that are running on that host. Dynatrace® AI builds and maintains a complete real-time dependency map, no matter how large or complex, so IT operations teams can monitor their container applications across networks of hosts or cloud instances.
"Dynatrace was a pioneer in monitoring Docker containers, with support for Docker on Linux since 2015. There's tremendous demand for Docker on Windows, and Dynatrace is addressing that demand" continued Tack. "Now organizations that use Dynatrace® will be able to deliver better software faster, automate and modernize their cloud operations, and deliver unrivalled user experience, regardless of the platform they choose to deploy on."
Gabe Monroy, Lead Product Manager for Cloud Native Compute at Microsoft Azure, Microsoft Corp. said, "We've seen a lot of excitement from businesses deploying Docker containers for Windows in Microsoft Azure, as it allows for a more seamless way for developers to manage and deploy applications in their enterprise cloud environments. As this use proliferates, we are pleased to work with Dynatrace to enable businesses to address monitoring these complex environments with an AI-driven approach for deeper visibility, automated troubleshooting and real-time remediation."