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|[Azure Monitor Metrics](essentials/data-platform-metrics.md)|Metrics are numerical values that describe an aspect of a system at a particular point in time. [Azure Monitor Metrics](./essentials/data-platform-metrics.md) is a time-series database, optimized for analyzing time-stamped data. Azure Monitor collects metrics at regular intervals. Metrics are identified with a timestamp, a name, a value, and one or more defining labels. They can be aggregated using algorithms, compared to other metrics, and analyzed for trends over time. It supports native Azure Monitor metrics and [Prometheus metrics](essentials/prometheus-metrics-overview.md).|
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|[Azure Monitor Logs](logs/data-platform-logs.md)|Logs are recorded system events. Logs can contain different types of data, be structured or free-form text, and they contain a timestamp. Azure Monitor stores structured and unstructured log data of all types in [Azure Monitor Logs](./logs/data-platform-logs.md). You can route data to [Log Analytics workspaces](./logs/log-analytics-overview.md) for querying and analysis.|
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|Traces|[Distributed traces](app/distributed-tracing.md) identify the series of related events that follow a user request through a distributed system. A trace measures the operation and performance of your application across the entire set of components in your system. Traces can be used to determine the behavior of application code and the performance of different transactions. Azure Monitor gets distributed trace data from the Application Insights SDK. The trace data is stored in a separate workspace in Azure Monitor Logs.|
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|Traces|[Distributed traces](app/distributed-tracing.md) identify the series of related events that follow a user request through a distributed system. A trace measures the operation and performance of your application across the entire set of components in your system. Traces can be used to determine the behavior of application code and the performance of different transactions. Azure Monitor gets distributed trace data from [instrumented applications](app/app-insights-overview.md#how-do-i-instrument-an-application). The trace data is stored in a separate workspace in Azure Monitor Logs.|
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|Changes|Changes are a series of events in your application and resources. They're tracked and stored when you use the [Change Analysis](./change/change-analysis.md) service, which uses [Azure Resource Graph](../governance/resource-graph/overview.md) as its store. Change Analysis helps you understand which changes, such as deploying updated code, may have caused issues in your systems.|
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|[Application SDK](app/app-insights-overview.md)|You can add the Application Insights SDK to your application code to receive, store, and explore your monitoring data. The SDK preprocesses telemetry and metrics before sending the data to Azure where it's ingested and processed further before being stored in Azure Monitor Logs.|
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|[Application instrumentation](app/app-insights-overview.md)|Application Insights is enabled through either [Auto-Instrumentation (agent)](/app/codeless-overview.md) or by adding the Application Insights SDK to your application code. Many languages are supported and the applications could be on Azure, on-premises, or hosted by another cloud. To figure out which type of instrumentation is best for you, reference [How do I instrument an application?](app/app-insights-overview.md#how-do-i-instrument-an-application).|
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|[Agents](agents/agents-overview.md)|Agents can collect monitoring data from applications, the guest operating system of Azure, and hybrid virtual machines.|
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|[Data collection rules](essentials/data-collection-rule-overview.md)|Use data collection rules to specify what data should be collected, how to transform it, and where to send it.|
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|Internal| Data is automatically sent to a destination without user configuration. |
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