Setting up Zia Insights

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    Overview

    Zia Insights provides AI-powered actionable insights on incidents, alerts and logs using the Bring Your Own Key (BYOK) model, supporting integration with Azure OpenAI services.

    This page elaborates on configurations that are essential to enable Zia Insights. It covers the creation of an Azure OpenAI resource, deployment of a compatible model, retrieval of necessary credentials such as the endpoint URL and API key, and integrating the AI service with the product console.

    Pre-requisites

    Before beginning the setup, ensure the following:

    • You must have an active Azure subscription with access to the Azure OpenAI service.
    • The following credentials are required from your Azure portal:
      • Endpoint URL
      • API key
      • Deployed model name

    Accessing Zia Insights

    1. Log in to your account.
    2. Go to the Settings tab, and select Admin.
    3. Navigate to Zia and select Insights.
    4. To enable Zia Insights in, click Configure Now.
      Setting up Zia Insights
      Figure 1: Configuring Azure OpenAI
    5. Enter the following details obtained from your Azure Portal:
      • Endpoint URL
      • Deployment Name
      • API Key
    6. Click Save to complete the initial setup.
      Setting up Zia Insights
      Figure 2: Configuring Azure OpenAI
    7. In the pop-up window that appears, read the data privacy notice, select the I understand checkbox to acknowledge the terms, and then click Proceed to complete the OpenAI integration.
      Setting up Zia Insights
      Figure 3: Azure OpenAI integration
    8. Once the integration is complete, Zia Insights will be enabled.
      Setting up Zia Insights
      Figure 4: Azure OpenAI integration
    NOTE
    • To disable or re-enable Zia Insights, use the toggle switch beside the Azure OpenAI option.
    • A confirmation pop-up will appear when disabling.
    • Click Yes to disable Zia Insights.
    • To delete the Azure OpenAI configuration, select the checkbox “Delete existing Azure OpenAI configuration” before clicking Yes.
    Setting up Zia Insights
    Figure 5: Disabling and deleting Azure OpenAI configuration

    Creating an Azure OpenAI resource

    If you do not already have an Azure OpenAI resource, follow these steps:

    NOTE If you already have an Azure OpenAI resource, refer to this to obtain the API key and Endpoint URL.

    1. Log in to Azure portal and click Create a resource.
      Setting up Zia Insights
      Figure 6: Creating a resource in Microsoft Azure
    2. Select Azure OpenAI as the resource type.
      Setting up Zia Insights
      Figure 7: Creating an Azure OpenAI resource
    3. Choose a Subscription of your choice.
    4. Select an existing Resource group or create a new one.
      Setting up Zia Insights
      Figure 8: Creating a resource group in Microsoft Azure
    5. Pick your desired Region and Pricing Tier.
    6. Enter a suitable Name for the resource.
      Setting up Zia Insights
      Figure 9: Instance details for Azure OpenAI service
    7. Under Networking, select All networks, including the internet, can access this resource.

      NOTE The Azure OpenAI resource must be publicly available on the internet so that the product console can access the endpoint.

      Setting up Zia Insights
      Figure 10: Configuring network security for Azure AI services resource
    8. Click Next to configure Tags (optional).
    9. Click Next again to move to the Review + Submit page.
      Setting up Zia Insights
      Figure 11: Final review to create resource
    10. Review your settings and click Create to provision the resource.

    Steps to obtain Endpoint URL and API key

    If you already have an Endpoint URL and API key, skip to the next section. If not:

    1. Log in to Azure portal and navigate to your Azure OpenAI resource.
    2. In the left pane, under the Resource Management section, click on Keys and Endpoint. It will open Keys and Endpoint console.
    3. In this window, you will find the Endpoint URL and API keys for your Azure OpenAI resource. Copy these details for use in the product.
      Setting up Zia Insights
      Figure 12: Obtaining API keys and Endpoint URL for Azure OpenAI resource

    Deploying a model in Azure OpenAI

    A deployed model is a version of an AI model (such as GPT-4o or GPT-4.1) that has been activated and made available for use within your Azure OpenAI resource. The product console will interact with the deployed model to generate AI-powered insights from your logs and alerts.

    NOTE If you already have a deployed model, you can directly use its deployment name when integrating with the product console. Ensure that the model is one of the following types:
    1. The Chat Completion API model (models GPT-4o or newer). For better results, use latest available model such as GPT-4.1 or newer.
    2. A non-reasoning model, excluding versions like o1-preview and o1-mini.

    If you do not have a deployed model, follow the steps below.

    Steps to deploy a model

    1. Navigate to your Azure OpenAI resource and click Go to Azure AI Foundry portal.
      Setting up Zia Insights
      Figure 13: Deploying a model in the Azure AI Foundry portal
    2. On the Azure AI Foundry portal, navigate to the Deployments section, click Deploy model, and select Deploy base model.
      Setting up Zia Insights
      Figure 14: Deploying a model in Azure AI Foundry portal
    3. Choose a model that meets the following constraints:
      • Must support the Chat Completion API (models GPT-4o or newer). For better results, use latest available model such as GPT-4.1 or newer.
      • Avoid reasoning models like o1-preview and o1-mini because they do not support system prompts.
      Setting up Zia Insights
      Figure 15: Available models for deployment in Azure AI Foundry portal
    4. Enter a deployment name of your choice (defaults to the model name).
      Setting up Zia Insights
      Figure 16: Deployment settings in Azure AI Foundry portal
    5. Select the deployment type based on your data processing needs. Learn more about deployment types.
      Setting up Zia Insights
      Figure 17: Deployment settings in Azure AI Foundry portal
    6. Click Create resource and deploy to complete the model deployment.
      Setting up Zia Insights
      Figure 18: Model deployment in Azure AI Foundry portal

    NOTE Once you've completed these steps and obtained your credentials, refer to this section to access Zia Insights.

    Read also

    This document detailed the configuration steps required to enable Zia Insights, including Azure OpenAI resource creation, model deployment, and integration setup. To leverage the capabilities of Zia Insights, refer to the following articles: