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Custom Metrics

Observability pillars include logs, metrics, and traces.

Observability vs. monitoring: What’s the difference?

By Jay Livens -
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observability platform vs observability tools

Observability platform vs. observability tools

By Jay Livens -
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9 key DevOps metrics for success

Use the Davis® AI to detect outages within your custom data streams

By Wolfgang Beer -
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Simplify observability for all your custom metrics (Part 5: Telegraf)

By Michael Kopp -
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Simplify observability for all your custom metrics (Part 3: Scripting languages)

By Michael Kopp -
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Simplify observability for all your custom metrics (Part 2: OneAgent metric API)

By Michael Kopp -
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Increased focus for your teams with fine-grained access control for your Prometheus, StatsD, and Telegraf metrics

By Wolfgang Beer -
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Simplify observability for all your custom metrics (Part 1: StatsD)

By Michael Kopp -
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Intelligent, context-aware AI analytics for all your custom metrics

By Wolfgang Beer -
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Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis® AI

By Michael Kopp -
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Multidimensional analysis 2.0: Analyze, chart, and report on microservice-based metrics without code changes

By Michael Kopp -
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Digital-Transformation

Integrate Dynatrace more easily using the new Metrics REST API

By Wolfgang Beer -
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Product news

Dynatrace Managed feature update, Version 132

By Wolfgang Schreiner -
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