Dynatrace has doubled the capacity of a Dynatrace cluster, now scaling to 50k hosts while maintaining system performance. In addition, Dynatrace now supports the clustering of clusters, including cross-cluster distributed tracing, analytics and management to deliver AI-powered observability, automation and intelligence for customers operating even the largest multi-cloud environments.
According to Dynatrace, web-scale environments are becoming commonplace as enterprises shift from static, on-premises data centers to dynamic, multi-cloud architectures with highly distributed microservices workloads.
Companies in industries from financial services, healthcare, ecommerce, technology, and more are rapidly growing their environments beyond their current monitoring systems’ ability to keep up. In addition, growth in complexity is outpacing their teams’ ability to identify and understand anomalies and correct performance and availability issues in a timely fashion.
“We are seeing a growing number of our customers across industries evolving rapidly to web-scale clouds,” said Steve Tack, SVP of product management at Dynatrace. “Driven by the shift of their data centers to the cloud and growing cloud-native workloads, it’s not hard to imagine hundreds, even thousands of web-scale enterprise clouds in the not too distant future. These environments require a transformational approach, which is why we reinvented our platform several years ago to stay a step ahead of the market and provide our customers with the high-fidelity observability, smart automation and real-time intelligence they need without compromise. We continue to push the boundaries on scalability and robustness as we
Key Dynatrace capabilities include automated discovery and instrumentation, a scale-out cloud native architecture, high-fidelity distributed tracing and cross-cluster analytics, AI-powered answers, and role-based governance for global teams.
For more information, go to www.dynatrace.com.