Dynatrace announced its new Kubernetes Experience for platform engineering teams.
Powered by the Dynatrace® platform’s observability, security, AI, and automation capabilities, the experience enables platform engineers to do the following:
- Provide tailored experiences for Kubernetes teams spanning all maturity levels, from experts to beginners, and ecosystems of all sizes, from a few to hundreds of clusters—including comprehensive visualizations and precise answers to track and optimize the health, performance, and security of clusters, nodes, namespaces, and workloads.
- Enable predictive maintenance with automated workflows that leverage the Dynatrace platform’s causal and predictive AI capabilities to detect and forecast anomalies in Kubernetes clusters and automatically determine their root cause, empowering engineers to address issues proactively and prevent negative impacts on the end-user experience.
- Create a reliable, secure, and scalable Kubernetes environment for developers using self-service capabilities that support key DevSecOps processes, including automated quality gates and automated validation of builds, deployments, and releases based on company-specific service-level objectives (SLOs).
“With the new Dynatrace Kubernetes Experience, platform engineers can now visualize and manage their entire Kubernetes environment in one location, leveraging AI-powered answers and automation to proactively identify and address issues before they impact customers,” said Steve Tack, SVP of Product Management at Dynatrace. “This provides platform engineers with powerful capabilities to manage the complexity inherent in cloud-native software development, enabling them to accelerate release cycles and help organizations innovate faster and more securely.”
The new Dynatrace Kubernetes Experience is expected to be generally available within 90 days of this announcement.
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