Azure Diagnostic Logs: Collection and Analysis

Azure diagnostic logs are a powerful tool for monitoring and troubleshooting Azure resources. They provide a detailed record of events and activities within your Azure environment.

To collect diagnostic logs, you can use Azure Monitor, which allows you to collect logs from various Azure services. This includes Azure Storage, Azure Virtual Machines, and Azure Application Gateway.

Azure Monitor also provides a feature called Log Analytics, which enables you to analyze and process the collected logs. This feature includes a powerful query language that allows you to filter and aggregate data.

With Log Analytics, you can create custom dashboards and reports to visualize your log data, making it easier to identify trends and patterns.

To implement Azure Diagnostic Logs, you'll want to use Azure Platform Logs to get the detail logs of Azure resources. This will give you a clear picture of what's happening with your resources.

Azure Platform Logs can provide a wealth of information, including details on resource usage and performance. You can use this data to identify issues and optimize your resources.

To send logs to a more centralized location, you'll need to configure Diagnostic Settings. This involves finding your Azure Function and creating a diagnostic setting to send logs to an Analytics Workspace and a Storage Account together.

Azure Diagnostic Log Destinations offer flexibility and convenience when it comes to managing and analyzing logs. You can send logs to multiple destinations for different use cases.

Azure Resources can be configured to write platform logs to different destinations using the Diagnostic settings. You can choose from three main options: Log Analytics Workspace, Archive to Storage Account, or Stream to an Event Hub.

Log Analytics Workspace allows you to analyze logs using Kusto queries in Azure Data Explorer, while also leveraging alerts and visualizations. This is particularly useful for monitoring and troubleshooting purposes.

Archive to Storage Account is a cheaper option that enables you to keep your logs for a long time. This is ideal for compliance and auditing requirements.

Stream to an Event Hub is useful for sending logs to external systems, such as security information and event management software. This is particularly useful for integrating Azure logs with other security tools.

Some services, such as Azure SQL, Azure Cosmos DB, and Azure Firewall, use Azure Diagnostics mode for their resource logs and send data to the Azure Diagnostics table. Other services send data to resource-specific tables.

Here's a list of services that use Azure Diagnostics mode:

Azure Diagnostic Log Collection is a crucial step in monitoring and troubleshooting Azure resources. To collect logs, you need to configure diagnostic settings in Azure.

There are several services that use Azure diagnostics mode for their resource logs, including Microsoft SQL Azure Telemetry v3, Azure Cosmos DB, and Azure Firewall. These services send data to the Azure Diagnostics table.

To collect logs, you can use the Azure Monitor, which collects logs from Azure services and sends the data to Azure Event Hubs. Event Hubs then streams the logs to Azure Functions, which can be used to process and analyze the logs.

Here are some key steps to follow:

By following these steps, you can collect and analyze diagnostic logs from your Azure resources, helping you to troubleshoot issues and improve the performance of your applications.

Configuring collection is a crucial step in Azure diagnostic log collection. It involves creating a Log Profile, which is the foundation for collecting logs from Azure resources.

To create a Log Profile, navigate to the Site24x7 web console, go to Admin > AppLogs > LogProfile > Add Log Profile, and enter the necessary details. This step is essential for setting up log collection.

Configuring the Azure resource using an Azure Resource Manager (ARM) template is another critical step in the log collection process. This involves using a template to define the resources and their properties.

Pushing logs from the Azure monitor to Event Hubs is the final step in the three-step process of configuring log collection. This ensures that the logs are collected and made available for analysis.

Here are the three steps to configure log collection in detail:

Configuring Azure diagnostic logs is a multi-step process that involves creating a Log Analytics workspace, Azure Storage Account, and Event Hub. To get started, create a Log Analytics workspace which provides a centralized location to store and analyze logs.

There are several ways to configure diagnostic settings to send logs to Analytics Workspace and Azure Storage. One option is to find your Azure function and create diagnostic settings to send the log to Analytics Workspace and Storage Account together. You can also use an Azure Resource Manager (ARM) template to configure the Azure resource.

To configure log collection, you'll need to create a Log Profile, configure the Azure resource using an ARM template, and push logs from Azure Monitor to Event Hubs. Here are the key steps:

Configuring Diagnostic Setting is a crucial step in Azure Diagnostic Log Configuration. You can create a diagnostic setting to send logs to Analytics Workspace and Storage Account together.

To do this, find your Azure function and create diagnostic settings to send the log to Analytics Workspace and Storage Account together. This is a straightforward process that can be completed in a few steps.

You can configure diagnostic setting to send logs to Analytics Workspace and Azure Storage. This will allow you to collect and analyze your Azure function logs in a centralized location.

To create a diagnostic setting, you'll need to specify the log type, log source, and log time zone. For example, you can choose Azure Diagnostic Logs as the log type, Azure Functions as the log source, and UTC as the log time zone.

Here's a step-by-step guide to creating a diagnostic setting:

This will create a diagnostic setting that sends logs to Analytics Workspace and Storage Account together.

The Additional Fields Column is a unique feature of the AzureDiagnostics table, which is designed to handle the large number of columns that can be created in a Log Analytics workspace.

This table contains a minimum of 200 columns in every workspace, and for workspaces created before January 19, 2021, it also includes any columns that were already in place before this date.

If a new column is added to AzureDiagnostics and the total number of columns exceeds 500, the excess data is added to a dynamic property bag column called AdditionalFields as a property.

This is in contrast to other tables, which would simply stop accepting new column additions if the 500 column limit is reached.

To better understand the AdditionalFields column, let's take a look at the scenarios that determine how data is handled: