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Log Management and Analytics

Get answers to any question, any time, at any scale, with no indexes, rehydration, or sampling.

Process, store, and analyze log data in context with AI-powered answers

Powered by Grail, Dynatrace is the only platform to combine observability, security, and business data in context to deliver precise answers in real-time, at scale, and on budget.

  • Unified Log Anayltics v2 1 50

    Unified logs to metrics

    Collect, parse, and monitor log data without indexing and use AI to find anomalies and root cause.

  • Infrastructure Optimization 50

    Troubleshooting

    Accelerate log analysis by automatically identifying relevant log lines with full context awareness.

  • Application Availability 50

    Application optimization

    Increase app resilience and revenue by leveraging logs in automatic context.

  • Audit and Forensic 50

    Audit and
    Forensics

    Investigate log data in total and in context with unmatched query capabilities.

Game-changing speed, scale, and value

  • 1b


    analyzed in context.

  • 1000


    processed in one powerful query.

  • 5 100


    for many advanced queries on large data volumes.

Store petabytes without schemas, indexing, or rehydration

  • Instantly access petabytes of data without needing to reconstitute and reindex from cold archives
  • Just run it – with no rigid schemas, no expensive indexes to manage, and no need to know what you want to query up front
  • Pick the retention period that fits your business and compliance needs – from debug to audit

Analyze across all your de-siloed data sources in full context

  • Bring all your data into one lakehouse to get answers with one ubiquitous query approach
  • Analyze logs in context of traces, users sessions, and topology with intuitive visual diagnostics and powerful queries
  • Pinpoint root cause and eliminate manual correlation with AI-powered analysis, which reveals relevant log lines automatically

Easily turn logs to metrics to dashboards

  • Optimize costs with the flexibility to create metrics from log data and pin to dashboards at ingest, independent of your retention strategy
  • Turn any query across your entire data set into a metric and dashboard without needing to rehydrate or reindex from an archive
  • Eliminate manual effort and alert storms with auto-baselining, anomaly detection, and root cause analysis

Explore logs in context of your auto-discovered topologies and entities

  • Quickly focus on relevant application and cloud components for live troubleshooting and debugging
  • Explore, filter, and search log and event data in context of Kubernetes and cloud platforms
  • Use interactive visual queries to navigate and analyze logs and easily pin to dashboards

Query and parse instantly with Dynatrace Query Language (DQL)

  • Leverage DQL - a familiar query language and pipe-based syntax that’s simpler and more powerful than SQL and regular expressions
  • Unlock value and new potential for your observability, security, and business data with schema-on-read parsing vs. ingest alone
  • Enable any query, any time on large volumes, and 5-10x faster parsing than regular expressions with purpose-built, high-speed algorithms and massively parallel processing

Get broad ingest support with full control

  • Leverage open API with native multicloud support for Kubernetes, Red Hat OpenShift, and AWS, Azure, and GCP environments
  • Automatically collect logs across the entire application stack, retained in context of all observability signals, using OneAgent
  • Make separate log pipelines obsolete with pre-ingest filtering and data transformation during processing
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Dynatrace Capabilities Background

Powerful core technologies

Our technologies work together to understand your ecosystem and deliver precise answers through explainable, causation-based AI, with automatic discovery and topology mapping across billions of dependencies.

Ready to put Software Intelligence to work?

Connect with an observability expert for a live, custom demo of the Dynatrace platform.
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