Application Performance Monitoring (APM)
Simplified high definition monitoring that is scalable, easy to use and deploy, and unifies visibility across end users, applications, networks, and the cloud-native ecosystem.
Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a scale we have never seen before. As a result, the old ways of scaling APM—sampled transactions, incomplete traces, aggregate metrics—are no longer working. The detail that matters is lost and this is becoming painfully obvious as legacy APM tools in place fail to diagnose why crucial business applications are still slow or stalling.
The Aternity Digital Experience Management platform takes a scalable big data approach to monitoring cloud-native applications that delivers unified visibility across the modern application ecosystem, is easy to deploy and manage, and results in faster troubleshooting for even the toughest performance problems.
Aternity is fully adapted to the cloud-native ecosystem delivering comprehensive monitoring and observability for transactions running on modern cloud and app infrastructure, including Docker, Kubernetes, Pivotal, Red Hat OpenShift, OpenStack, Amazon Web Services, Google Cloud Platform, and Azure.
With Aternity, you can quickly surface insights and proactively resolve issues before business is impacted. Using intuitive queries, machine learning algorithms and innovative visualizations, you’re only two clicks from an answer to virtually any performance question.
Aternity captures, stores and indexes across billions of transactions a day without sacrificing data completeness, granularity or depth. Reconstruct incidents in great detail with the most complete distributed tracing in the industry for immediate insight into even infrequent or intermittent issues.
Designed for simplicity, agility and collaboration in alignment with modern DevOps requirements, Aternity’s lightweight, non-intrusive instrumentation automatically discovers new code components and container instances, and its alerts, metrics, and diagnostics can be consumed across the enterprise IT ecosystem.
