The blog “Demystifying Log Ingestion API” explores the process of ingesting and transforming application logs into Azure’s Log Analytics workspace using the Log Ingestion API. It covers various log ingestion techniques, the advantages of using this API over traditional methods, and prerequisites for configuration, emphasizing its future-proof capabilities.
Demystifying Log Ingestion API: A Deep Dive
In the ever-evolving world of tech, understanding log ingestion is crucial. Microsoft’s Log Ingestion API offers a streamlined approach to managing application logs. This article breaks down its key features and benefits.
What’s New?
The Log Ingestion API in Azure Monitor allows users to send data directly to a Log Analytics workspace. This can be achieved through a REST API call or client libraries. Notably, it supports both supported Azure tables and custom tables.
“The API allows you to send data to supported Azure tables or to custom tables that you create.”
Major Updates
One significant update is the API’s ability to handle data transformations. This means you can modify data before it’s ingested into the destination table. Additionally, you can manage the schema of the destination table, ensuring flexibility as your data needs evolve.
Another important point is the deprecation of the HTTP Data Collector API. The Log Ingestion API is its successor, providing a future-proof solution for developers.
Advantages of Log Ingestion API
- Supports transformations, allowing for data filtering and manipulation before ingestion.
- Enables sending data to multiple destinations.
- Allows management of destination table schema, including dynamic column adjustments.
What’s Important to Know?
Before diving into the Log Ingestion API, there are prerequisites to consider. You need to register your application and create a secret for API authentication. The application must also have permissions to the Data Collection Rule (DCR).
Additionally, ensure that a table exists in your Log Analytics workspace before sending data. This can be a supported Azure table or a custom table you create.
“The data sent by your application to the API must be formatted in JSON and match the structure expected by the DCR.”
Getting Started
To begin using the Log Ingestion API, follow the detailed public documentation provided by Microsoft. This includes steps for configuring the API through Azure Portal and ARM templates.
In conclusion, the Log Ingestion API simplifies log management and enhances data analytics capabilities. By leveraging its features, developers can ensure their applications are future-ready.
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