The Dynatrace platform

Different by design

• Innovate and collaborate with easy-to-build apps

  Create and share custom apps that leverage insights from all your observability, security, and business data with AppEngine.

  Explore AppEngine Learn how to build your own apps
  

• Drive agentic action with answers, not guesses

  Orchestrate and fuel an ecosystem of built-in and third party agents with contextual data to prevent, remediate, and optimize with confidence.

  Explore AutomationEngine
  

• Get instant support for your clouds and technologies

  Tap our expanding library of integrations, extensions, and apps, including technologies outside the traditional observability space.

  

• Fast, indexless, schema-on-read storage

  Ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
  
  All with enterprise-grade data privacy and security.

  fetch spans
    | filter endpoint.name == "/entrypoint.jsp" and isNotNull(is_failed)
    | fields start_time, end_time, is_failed, http_status, http.request.headers, trace.id, span.id
    | join [fetch spans, from:-10m
               | filter isNotNull (db.name)
               | fields db.name, db.statement, trace.id, dt.entity.process_group
          ], on:trace.id, prefix:"database."
    | join [fetch logs
               | filter contains(content, "ERROR")
               | summarize message=takeany(content),by:dt.entity.process_group
            ], on:left[database.dt.entity.process_group] == right[dt.entity.process_group], prefix:"log."
    | fields trace.id, start_time, end_time, database.db.statement, log.message
    | makeTimeseries failed = count(isNotNull(log.message)), dbcalls= countIf(isNotNull(db.name)), time:start_time