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Intelligent Log Analytics

Combine logs with other data sources including metrics, traces, real user data, all in context with dependency mapping, for smarter AI-powered full-stack observability that delivers answers and continuous automation.

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Get precise answers from unified log data in context

Start analyzing logs, metrics, and events in the context of traces, topology, and user sessions - with no more schemas or storage tiers to manage.
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  • Native log support for Kubernetes and multicloud environments

  • Open-source log data frameworks, including FluentD and Logstash

  • Custom metrics based on log and event data


Revolutionize Data Analytics with Grail™

Join the live demo of the Dynatrace platform to see how to put silos in the past by unifying logs, metrics, traces (and more) under one observability umbrella.

Thursday, August 24, 2023 | 3:00pm ET
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Intelligent log monitoring for cloud-native architectures

Dynatrace automatically collects log and event data from a vast array of technologies in hybrid and multicloud environments at enterprise-scale.

  • Native support for Kubernetes logs and events for K8s platforms, workloads and applications running inside K8s.
  • Native support for multicloud environments, including AWS, GCP, Microsoft Azure, and Red Hat OpenShift.
  • Support for open-source log data frameworks, including FluentD and Logstash.
  • Automatic ingestion of logs, metrics, and traces, and continuous dependency mapping with precise context across hybrid and multicloud environments with Smartscape®.

Custom log metrics for smarter AI, faster troubleshooting

Turn log data into custom metrics for charting, dashboarding and alerting. Custom log metrics are used by the Davis® AI engine to support root cause analysis. Easily turn ad hoc log analytics into long-term time series.

Empower BizDevOps teams to innovate

Log monitoring combined with Dynatrace’s AI engine enables teams to automate more of the tedious work and free precious time for innovation.

  • Understand logs in the context of your full-stack including real user impacts and let Davis® AI provide deep insights and answers.
  • Define patterns and custom log metrics to receive proactive notifications.
  • Automatically see precise problem root cause in real-time to simplify cloud complexity.
  • Automate cloud operations and trigger remediation workflows to enhance the efficiency of BizDevOps teams.

Dynatrace is a G2 Leader in Log analysis

Dynatrace has been named a Leader among products in Log analysis. These user ratings reflect the advantage of Dynatrace’s all-in-one-platform, which was made for IT, DevOps, and digital experience use cases, and built on a unified data model to enable increased automation and intelligence.
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Powerful core technologies

Get precise answers and automation through hypermodal AI, with automatic discovery and topology mapping across billions of dependencies.

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CIOs face rising cloud complexity and an explosion of data

We asked 1,300 CIOs about the challenges they face. The takeaway is clear: as cloud complexity and data silos rise, CIOs are struggling to keep up with the speed and scale of tech environments.

Download the free report to learn how:

  • Multicloud, Kubernetes, and serverless architectures are crucial for keeping pace with modern transformation.
  • The explosion of data and complexity they create is too much for teams and traditional analytics solutions to manage. Teams need automation.
  • To keep up, organizations need a faster, more scalable approach to observability and security.

Download the free report


A Leader in the 2023 Gartner® Magic Quadrant™ and ranked #1 in the Critical Capabilities for APM and Observability reports

See why we’re positioned furthest for Vision and highest for Execution in the Magic Quadrant, and ranked #1 in all Use Cases in the Critical Capabilities Report for Application Performance Monitoring and Observability.

Gartner Magic Quadrant for Application Performance Monitoring and Observability 2023
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