What are Azure Log Analytics Workspaces Connected Sources?

Azure Log Analytics Workspaces can collect log data from a wide range of sources, including Azure resources, on-premises resources, and third-party applications. These sources are known as Connected Sources in Azure Log Analytics.

Usage Examples:

  1. Azure Resources: Azure Log Analytics can collect log data from various Azure resources such as virtual machines, Azure Kubernetes Services (AKS), Azure App Services, Azure Functions, and more. By connecting these resources to Log Analytics Workspaces, you can gain a centralized view of the log data generated by these resources, making it easier to monitor and troubleshoot issues.
  2. On-premises Resources: Log Analytics Workspaces can also collect log data from on-premises resources such as servers, network devices, and applications. This requires configuring agents on the on-premises resources that collect and forward log data to Log Analytics. By doing so, you can gain a centralized view of the log data generated by your entire IT infrastructure, regardless of where it is hosted.
  3. Third-Party Applications: In addition to Azure and on-premises resources, Log Analytics Workspaces can also collect log data from third-party applications and services. This requires the use of custom connectors that can forward log data from these applications to Log Analytics. For example, you can use connectors to collect log data from popular third-party applications such as Apache web servers, Microsoft IIS, and more.
  4. Custom Logs: Log Analytics Workspaces also allows you to define custom logs, which are log data generated by your own applications and services. This requires writing log data to a specific format that can be recognized by Log Analytics. By doing so, you can gain a centralized view of the log data generated by your own applications and services, making it easier to monitor and troubleshoot issues.

In summary, Azure Log Analytics Workspaces provides a flexible and powerful solution for collecting log data from a wide range of sources, enabling you to gain a centralized view of your IT infrastructure and applications, and troubleshoot issues more effectively.

Author: tonyhughes