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Azure Diagnostic Logs

Ship your Azure diagnostic logs using an automated deployment process. At the end of this process, your Azure function will forward logs from an Azure Event Hub to your Logz.io account.

Overview of Azure Diagnostic Logz.io integrations

note

Project's GitHub repo

Configuration​

Setting up Log Shipping from Azure​

Deploy the Logz.io Python Template👇​

Deploy to Azure

This deployment will create the following services:

  • Serverless Function App (Python-based)
  • Event Hubs Namespace
  • Event Hubs Instance
  • Storage account:
    • Function's logs containers
    • Failed shipments logs container
  • App Service Plan
  • Log Analytics Workspace
  • Application Insights

Configure the Template​

Use these settings when configuring the template:

ParameterDescription
Resource group*Create a new resource group or select an existing one.
Region*Select the region closest to your Azure services.
LogzioURL*Use the listener URL specific to your Logz.io account region.
LogzioToken*Your Logz.io logs shipping token.
ThreadCountNumber of threads for the Function App (default: 4).
bufferSizeMaximum number of messages to accumulate before sending (default: 100).
intervalTimeInterval time for sending logs in milliseconds (default: 10000).
maxTriesThe maximum number of retries for the backoff mechanism (default: 3).
logTypeThe type of the logs being processed (default: eventHub).

*Required fields.

After setting the parameters, click Review + Create, and then Create to deploy.

Stream Azure Service Data​

Configure your Azure services to stream logs to the newly created Event Hub. For each service:

  1. Create diagnostic settings.
  2. Under Event hub policy name, select the appropriate policy (e.g., 'RootManageSharedAccessKey').

For more details, see Microsoft's documentation.

Verify Data Reception in Logz.io​

Allow some time for data to flow from Azure to Logz.io, then check your Logz.io account. You should see logs of the type eventHub in Logz.io.

Backup for Unshipped Logs​

The deployment includes a backup mechanism for logs that fail to ship to Logz.io. By default, these logs are stored in the failedlogbackup blob container, but this can be customized to a different container name of your choice during the setup process.

Post-Deployment Configuration​

To modify configuration after deployment, visit your Function App's Configuration tab. You can adjust settings such as LogzioURL, LogzioToken, bufferSize, and more.

Check Logz.io for your logs​

Give your data some time to get from your system to ours, and then open your Logz.io Open Search Dashboards account. If everything went according to plan, you should see logs of the type:eventHub in Open Search Dashboards.

If you still don’t see your logs, see log shipping troubleshooting.

Alternative Setup using Terraform​

As an alternative to the Azure Template, you can use Terraform to set up your log shipping environment. The Terraform configuration files are located in the deployments folder of this repository. Follow the instructions below to deploy this integration using Terraform.

Prerequisites​

  • Terraform installed on your local machine.
  • Azure CLI installed and configured with your Azure account credentials.

Steps to Deploy using Terraform​

  1. Obtain the Terraform Configuration: Use curl to download only the azuredeploylogs.tf and variables.tf files from the GitHub repository.

     curl -O https://raw.githubusercontent.com/logzio/azure-serverless/master/deployments/azuredeploylogs.tf \
    &&
    curl -O https://raw.githubusercontent.com/logzio/azure-serverless/master/deployments/variables.tf

  2. Create a .tfvars File: Create a terraform.tfvars file in the same folder to specify your configurations, such as your Logz.io token.

    logzio_url = "https://<<LISTENER-HOST>>:8071"
    logzio_token = "<<LOG-SHIPPING-TOKEN>>"
    thread_count = 4
    buffer_size = 100
    interval_time = 10000
    max_tries = 3
    log_type = "eventHub"

  3. Initialize Terraform: Run the Terraform initialization to install the necessary plugins.

     terraform init

  4. Apply Terraform Configuration: Deploy the infrastructure using terraform apply. You will be prompted to review the proposed changes before applying the configuration.

     terraform apply

    Type yes when prompted to confirm the deployment.

  5. Verify Deployment: After successful application of the Terraform configuration, your Azure services will be set up and ready for log shipping.

Check Logz.io for your logs​

Give your data some time to get from your system to ours, and then open your Logz.io Open Search Dashboards account. If everything went according to plan, you should see logs of the type:eventHub in Open Search Dashboards.

If you still don’t see your logs, see log shipping troubleshooting.

Migration to Log Analytics Workspace-Based Model​

For users currently on the Classic Application Insights, it's essential to migrate to the Log Analytics workspace-based model. To do this:

  1. Navigate to your Application Insights resource that hasn't been migrated yet.
  2. Click on the notification that states "Classic Application Insights is deprecated."
  3. A "Migrate to Workspace-based" dialog will appear. Here, confirm your preferred Log Analytics Workspace and click 'Apply'.
important

Be aware that once you migrate to a workspace-based model, the process cannot be reversed.