Add changes from Aunsh

Author: pauljwil

references/glossary.rst

@@ -24,10 +24,10 @@ A
       Analytics are the mathematical functions that can be applied to a collection of data points. For a full list of analytics that can be applied in Splunk Infrastructure Monitoring, see the :ref:`analytics-ref`.
 
    automatic discovery
-      Automatic discovery is a feature of the Splunk Distribution of OpenTelemetry Collector that identifies the applications running in your environment and sends telemetry data from them to Splunk Application Performance Monitoring (APM). The Collector configures an application-specific receiver that collects data from an endpoint exposed on the source application. Automatic discovery is available for applications written in Java, Node.js, and .NET. For more information, see :ref:`discovery_mode`.
+      Automatic discovery is a feature of the Splunk Distribution of the OpenTelemetry Collector that identifies the applications, databases, and web servers running in your environment and sends telemetry data from them to Splunk Application Performance Monitoring (APM) and Infrastructure Monitoring. The Collector configures an application-specific receiver that collects data from an endpoint exposed on the source application. Automatic discovery is available for applications written in Java, Node.js, and .NET. For more information, see :ref:`discovery_mode`.
 
    automatic instrumentation
-      Automatic instrumentation uses an agent of the Splunk Distribution of OpenTelemetry Collector to instrument your source application and export telemetry data without requiring you to modify the application code. The agent configures the source application to export data in a supported format to an OTLP endpoint, on either an OTLP receiver or the Splunk Observability Cloud back end. Automatic instrumentation is available for applications written in Java, Node.js, .NET, Go, Python, Ruby, and PHP and automatically collects telemetry data for code written using supported libraries in each language. For more information, see :ref:`get-started-application`.
+      Automatic instrumentation enables you to instrument your source application and export telemetry data without requiring the modification of application code. The language-specific instrumentation agent configures the source application to export data in a supported format to an OTLP endpoint, on either an OTLP receiver or the Splunk Observability Cloud back end. Automatic instrumentation is available for applications written in Java, Node.js, .NET, Go, Python, Ruby, and PHP and automatically collects telemetry data for code written using supported libraries in each language. For more information, see :ref:`get-started-application`.
 
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