1. Compliance Reporting on Update Status with Azure Log Analytics


    To set up compliance reporting on update status using Azure Log Analytics, you need to create an Azure Log Analytics Workspace, which is a centralized repository for storing log data from various Azure resources. Once the workspace is in place, you use Data Sources in Azure Log Analytics to collect the required data for compliance reporting, such as update status from your Azure resources.

    Below is a step-by-step Pulumi program in Python that sets up the necessary infrastructure:

    1. Create an Azure Log Analytics Workspace.
    2. Define the Data Source to report on the update status.
    3. Configure any additional settings, such as retention policies or tags.

    Here’s how you can create an Azure Log Analytics Workspace and configure a Data Source to collect the update status for compliance reporting:

    import pulumi import pulumi_azure_native as azure_native # Create an Azure Log Analytics Workspace log_analytics_workspace = azure_native.operationalinsights.Workspace( "logAnalyticsWorkspace", # The location of the workspace. Azure Log Analytics is not available in all regions. location="eastus", # The SKU of the workspace. sku=azure_native.operationalinsights.SkuArgs( name="PerGB2018", ), # Optionally, you can define retention in days, for how long logs are kept. retention_in_days=30, resource_group_name="<your-resource-group-name>", ) # Create a data source for collecting update status. # Please replace `<your-workspace-name>` and `<your-resource-group-name>` below, # with the appropriate workspace and resource group names. data_source = azure_native.operationalinsights.DataSource( "dataSourceUpdates", kind="WindowsPerformanceCounter", # Kind of data source, depending on what updates or logs you want to collect. properties=azure_native.operationalinsights.DataSourcePropertiesArgs( # Here you define the performance counters, queries, and logs you want to collect. # For updates, you'll specify the corresponding Performance Counters or Configuration Logs. # Please consult the Azure Log Analytics documentation to determine the exact configuration for update status. ), workspace_name=log_analytics_workspace.name, resource_group_name=log_analytics_workspace.resource_group_name, ) # Export the ID of the Log Analytics Workspace pulumi.export("workspace_id", log_analytics_workspace.id)


    • azure_native.operationalinsights.Workspace: This resource is responsible for creating the Log Analytics Workspace, which will store all the logs.
    • azure_native.operationalinsights.DataSource: This resource is for configuring the particular data that needs to be collected. In this case, you'd specify what's needed for collecting update status.

    Remember to replace "<your-resource-group-name>" with the name of your Azure Resource Group, and you might need to specify additional properties within DataSourcePropertiesArgs depending on your particular use case and the type of data you wish to collect for update compliance reporting.

    For compliance reporting, you might also consider integrating with Azure Policy and other tools like Azure Security Center or Azure Automation Update Management, which can provide a more comprehensive compliance solution.

    After deploying this Pulumi program with the pulumi up command, you would then configure your Azure resources to forward their logs to this workspace, set up queries/alarms and potentially use Azure Dashboards or Azure Workbooks to visualize compliance status.

    You can learn more about Azure Log Analytics Workspace and DataSource from Pulumi's documentation for Workspace and DataSource.