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.
Dynatrace has the automation, intelligence and scale-out architecture needed to deliver the observability and precise answers that today’s enterprise clouds require, drawing on key capabilities that include:
- Automated discovery and instrumentation: Single agent instrumentation automatically and continuously discovers all microservices, components and processes across the full cloud stack – networks, infrastructure, applications and users – and continuously maps dependencies in real-time.
- Scale-out cloud native architecture: Dynatrace scales to 50k hosts in a single cluster while maintaining a common view across clusters of traceability, analytics and governance to provide intelligent observability for the world’s largest enterprise cloud environments.
- High fidelity distributed tracing and cross-cluster analytics: Dynatrace delivers high fidelity distributed tracing in the context of all transactions across clusters and a single management dashboard regardless of cluster location.
- AI-powered answers: The Dynatrace explainable AI engine, Davis processes billions of dependencies in real-time, delivering the ability to go beyond metrics, logs and traces to provide instant and precise answers to issues at scale, 24/7.
- Role-based governance for global teams: With Management Zones, Dynatrace enables fine-grained access across applications and zones for secure, distributed management of shared cloud environments by multiple teams.
“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 continuously enhance our platform.”
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