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Application Performance Monitoring

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Cloud Native APM at Scale

Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a massive scale. The old ways of scaling APM—sampled transactions, incomplete traces, aggregate metrics—are no longer working, and legacy APM tools fail to diagnose why crucial business applications are still slow or stalling. The Alluvio Aternity DEM platform 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.
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Features
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Get High Definition Visibility into Containers and Microservices

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.

Extract Business and App Intelligence with AI and Data Analytics

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.
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Maintain the Highest Levels of Data Quality at Any Scale

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.

Simplify DevOps Administration

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.
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Related Use Cases

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