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.
Interactive tour
Get precise answers from unified log data in context
CLOUD DONE RIGHT LIVE WEBINAR
Revolutionize Data Analytics with Grail™
Thursday, August 24, 2023 | 3:00pm ET
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
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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Davis AI
Our hypermodal AI uniquely combines predictive AI, causal AI, and generative AI. Davis® AI uses high-fidelity topology, metrics, traces, logs, and user data to deliver precise answers, intelligent automation, and AI recommendations.
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AutomationEngine
Our answer-driven automation technology leverages causal AI to intelligently power BizDevSecOps workflows throughout multicloud ecosystems.
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AppEngine
Our secure, serverless, auto-scaling runtime environment makes it easy to create custom, compliant, data-driven apps that address the use cases most important to you.
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Grail
Our massively parallel processing (MPP) data lakehouse is purpose-built to ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
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Smartscape
Our dynamic topology mapping technology automatically identifies and maps interactions and relationships between applications and the underlying infrastructure. As new microservices come up or go away, the Smartscape topology map continuously updates in real-time.
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OpenPipeline
Our high-performance stream processing is designed to ingest, process, enrich, contextualize, and persist data from any source, in any format, at any scale.
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OneAgent
Our single agent technology deploys only once on a host and instantly starts collecting all relevant metrics along the full application-delivery chain. Install it and forget it—we take care of everything.
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PurePath
Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.
2022 GLOBAL CIO REPORT
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.
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.
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