In this blog, I’m going to delve into ingesting and transforming application logs to log analytics workspace using Log Ingestion API technique. Before we jump into the details, let’s explore the different types of ingestion techniques based on the application log types.
- If applications and services logs information to text files instead of standard logging services such as Windows Event log or Syslog, Custom Text Logs can be leveraged to ingest such text file logs in log analytics workspace.
- If applications and services logs information to JSON files instead of standard logging services such as Windows Event log or Syslog, Custom JSON Logs can be leveraged to ingest such text file logs in log analytics workspace.
- If an application understands how to send data to an API then you can leverage Log Ingestion API to send the data to Log Analytics Workspace.
Custom Text/JSON Logs are out of scope for this blog, I might write a separate blog dedicated to these techniques later. In this blog, my focus will be on streaming data to log analytics workspace using Log Ingestion API and transforming the data for optimal usage.
Note: This blog aims to demonstrate how to ingest logs using the log ingestion API. To keep things straightforward, I’ll refer to our public documentation.
Click through for details on the process.