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Observability

View the Dynatrace Observability content hub.

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Segments empower centralized teams to dynamically organize data at petabyte-scale

By Christoph Enzinger -
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Building agentic AI applications with OpenAI Agents SDK

The rise of agentic AI part 5: Developing and monitoring multi-agent applications with OpenAI Agents SDK on Azure AI Foundry

By Kristof Muhi -
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Dynatrace 3rd-generation platform: Built for the world of Autonomous Intelligence

By Bernd Greifeneder -
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data visualizations from Dynatrace

Tell data-driven stories with new world map, gauge, and heatmap data visualizations

By Mikele Hasson -
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Dynatrace Cloud Security and CADR: Revolutionizing cloud security with observability context

By Andreas Kroier -
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From data to insights with Dynatrace Dashboards

By Thomas Ziegelbecker -
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2025 Gartner® Critical Capabilities for Observability Platforms

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Abstract image showing charts and graphs as part of the Dynatrace dashboard tutorial to filter data and demonstrate dashboard filtering

Power dashboarding part 3: Filter data effectively to find what matters

By Angel Aleman -
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2025 Gartner® Magic Quadrant™ for Observability Platforms

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logs and traces

Logs and traces: Why context is everything for seamless investigations

By Omer Dayan -
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Dynatrace AI-powered observability is now on Google Cloud

The latest Dynatrace AI-powered observability features are now on Google Cloud

By Christoph Hoyer -
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Dynatrace for Executives: Cloud cost optimization & sustainability

Maximizing cloud efficiency: Driving cost optimization and sustainability with Dynatrace

By Bernd Greifeneder -
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Latest OpenPipeline upgrades simplify high-volume, real-time data processing

By Thomas Billicsich -
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The rise of agentic AI part 4: Dynatrace delivers full-stack observability for AI with NVIDIA Blackwell and NVIDIA NIM

By David Jones -
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The rise of agentic AI part 3: Amazon Bedrock Agents monitoring and how observability optimizes AI agents at scale

By Kristof Muhi -
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logs and traces

Deep Search: Transform your data exploration and investigation with Dynatrace Grail

By Sangavi Venkadasamy -
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Introducing OpenTelemetry collector self-monitoring dashboards

By Mikko Viitanen -
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Driving AI-powered observability with Dynatrace and Deloitte

Driving AI-powered observability to action

By Michael Allen -
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abstract image showing connected dots and waves representing MCP best practices for agentic AI

The rise of agentic AI part 2: Scaling MCP best practices for seamless developers’ experience in the IDE with Cline

By Sharon Sharlin -
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OpenTelemetry signals

Unified observability: Why storing OpenTelemetry signals in one place matters

By Adriana Villela -
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Go big with Dynatrace: Native support for large log records

By Christian Schwendemann -
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Press release

Dynatrace Collaborates with NVIDIA to Deliver AI and LLM Observability for Enterprise AI Factory Deployments

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multiple robot icons linked like a network on a dark background asking the question, what is agentic AI? And what is Model Context Protocol? also represents AI agent observability and Amazon Bedrock agents monitoring

The rise of agentic AI part 1: Understanding MCP, A2A, and the future of automation

By Kristof Muhi -
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Distributed tracing best practices

Distributed tracing best practices for the software development lifecycle

By Christoph Neumüller -
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