Correcting some app insights info

Author: AarDavMax

articles/azure-monitor/overview.md

@@ -69,7 +69,7 @@ Azure Monitor collects these types of data:
 
 |Data Type|Description and subtypes|
 |---------|-----------|
-|Application|Data about the performance and functionality of your application code on any platform.|
+|Application|Application performance, health, and activity data.|
 |Infrastructure|**Container** - Data about containers, such as [Azure Kubernetes Service](../aks/intro-kubernetes.md), [Prometheus](./essentials/prometheus-metrics-overview.md), and the applications running inside containers.<br><br>**Operating system** - Data about the guest operating system on which your application is running.|
 |Azure Platform <br><br> Data sent into the Azure Monitor data platform using the Azure Monitor REST API. |**Azure resource** - Data about the operation of an Azure resource from inside the resource, including changes. Resource Logs are one example. <br><br>**Azure subscription** - The operation and management of an Azure subscription, and data about the health and operation of Azure itself. The activity log is one example.<br><br>**Azure tenant** - Data about the operation of tenant-level Azure services, such as Azure Active Directory.<br> |
 |Custom Sources| Data which gets into the system using Azure Monitor REST API. |
@@ -88,9 +88,10 @@ Click on the picture to see a larger version of the data platform diagram in con
 |---------|---------|
 |[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).|
 |[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.|
-|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.|
+|Traces|[Distributed tracing](app/distributed-tracing.md) allows you to see the path of a request as it travels through different services and components. 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.|
 |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.|
 
+Distributed tracing is a technique used to trace requests as they travel through a distributed system. It allows you to see the path of a request as it travels through different services and components. It helps you to identify performance bottlenecks and troubleshoot issues in a distributed system.
 
 For less expensive, long-term archival of monitoring data for auditing or compliance purposes, you can export to [Azure Storage](/azure/storage/).
 
@@ -106,8 +107,8 @@ Click on the picture to see a larger version of the data collection diagram in c
 
 |Collection method|Description  |
 |---------|---------|
-|[Application instrumentation](app/app-insights-overview.md)| Application Insights is enabled through either [Auto-Instrumentation (agent)](app/codeless-overview.md#what-is-auto-instrumentation-for-azure-monitor-application-insights) 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).|
-|[Agents](agents/agents-overview.md)|Agents can collect monitoring data from applications, the guest operating system of Azure, and hybrid virtual machines.|
+|[Application instrumentation](app/app-insights-overview.md)| Application Insights is enabled through either [Auto-Instrumentation (agent)](app/codeless-overview.md#what-is-auto-instrumentation-for-azure-monitor-application-insights) or by adding the Application Insights SDK to your application code. For more information, reference [How do I instrument an application?](app/app-insights-overview.md#how-do-i-instrument-an-application).|
+|[Agents](agents/agents-overview.md)|Agents can collect monitoring data from the guest operating system of Azure and hybrid virtual machines.|
 |[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.|
 |Internal| Data is automatically sent to a destination without user configuration.  |
 |[Diagnostic settings](essentials/diagnostic-settings.md)|Use diagnostic settings to determine where to send resource log and activity log data on the data platform.|
@@ -139,7 +140,7 @@ The following table describes some of the larger insights:
 
 |Insight  |Description  |
 |---------|---------|
-|[Application Insights](app/app-insights-overview.md)|Application Insights takes advantage of the powerful data analysis platform in Azure Monitor to provide you with deep insights into your application's operations. Application Insights monitors the availability, performance, and usage of your web applications whether they're hosted in the cloud or on-premises. You can use it to diagnose errors without waiting for a user to report them. Application Insights includes connection points to various development tools and integrates with Visual Studio to support your DevOps processes.|
+|[Application Insights](app/app-insights-overview.md)|Application Insights monitors the availability, performance, and usage of your web applications.|
 |[Container Insights](containers/container-insights-overview.md)|Container Insights gives you performance visibility into container workloads that are deployed to managed Kubernetes clusters hosted on Azure Kubernetes Service. Container Insights collects container logs and metrics from controllers, nodes, and containers that are available in Kubernetes through the Metrics API. After you enable monitoring from Kubernetes clusters, these metrics and logs are automatically collected for you through a containerized version of the Log Analytics agent for Linux.|
 |[VM Insights](vm/vminsights-overview.md)|VM Insights monitors your Azure VMs. It analyzes the performance and health of your Windows and Linux VMs and identifies their different processes and interconnected dependencies on external processes. The solution includes support for monitoring performance and application dependencies for VMs hosted on-premises or another cloud provider.|
 |[Network Insights](../network-watcher/network-insights-overview.md)|Network Insights provides a comprehensive and visual representation through topologies, of health and metrics for all deployed network resources, without requiring any configuration. It also provides access to network monitoring capabilities like Connection Monitor, flow logging for network security groups (NSGs), and Traffic Analytics as well as other diagnostic features. |