Azure OpenAI (Assistive AI)
Third Party Integration
Azure OpenAI (Assistive AI)
Enable Cloudmon's Assistive AI feature to automatically analyse and explain SNMP Traps, Syslog messages, and Windows Event Log entries in plain language, giving your team instant context and troubleshooting guidance for any log event.
Overview
Cloudmon's Assistive AI connects to Azure OpenAI to interpret incoming log entries from SNMP Traps, Syslog, and Windows Event Logs. When you click the AI button next to any log entry, Cloudmon sends the entry to Azure OpenAI and returns a structured breakdown covering an Overview of the event, its potential Impact, a plain-language Summary, and Troubleshoot and Analyse guidance. This allows your team to understand complex or cryptic log messages instantly without needing to cross-reference vendor documentation.
The integration requires an active Azure OpenAI resource with a deployed GPT model. The steps below cover both setting up Azure OpenAI and connecting it to Cloudmon.
Step 1: Set Up Azure OpenAI
Create an Azure Account and OpenAI Resource:
- Go to the Azure Portal and sign in with your Microsoft account, or create a new one.
- Click Create a resource, search for Azure OpenAI Service, and click Create.
- Select your Subscription and Resource Group, enter a Resource Name, select a Region that supports OpenAI services, and click Review + Create → Create.
Deploy a Model:
- Open the newly created Azure OpenAI resource.
- Navigate to Deployments and click Create new deployment.
- Choose a model such as gpt-4 or gpt-3.5-turbo, give it a deployment name, and click Create.
Get the API Key and Endpoint URL:
- Open your Azure OpenAI resource in the Azure portal.
- At the bottom of the page, click Azure AI Foundry Portal.
- Click Resource, then in the left-hand toolbar click Deployments.
- Select the GPT model you deployed.
- On the left side near the bottom, find the Endpoint URL and API Key. Copy both as you will need them in the next step.
- Navigate to Settings → Configurations → Integrations. If you are using the MSP version, follow the same path from the MSP view.
- Locate the Azure OpenAI widget and click the + Add button.
- Fill in the fields as described in the table below.
- Click Save.
| Field | Description |
| Target URI | The endpoint URL from your Azure OpenAI resource, for example https://your-resource-name.openai.azure.com. This is the address Cloudmon will send log entries to for AI analysis. |
| API Key | The API key from your Azure OpenAI resource. Either Key 1 or Key 2 from the Azure portal can be used. |
Once saved, the Assistive AI feature is active across all supported log views in Cloudmon.
Using Assistive AI
After the integration is configured, the AI button appears next to log entries in the following views: Logs → SNMP Traps, Logs → Syslogs, and Logs → Windows Event Logs.
Click the AI button next to any log entry to trigger analysis. Cloudmon will return a structured breakdown with four sections:
| Section | What it contains |
| Overview | A plain-language explanation of what the log entry represents and what triggered it. |
| Impact | An assessment of the potential effect on your infrastructure, services, or users if the event is not investigated. |
| Summary | A concise summary of the event combining the overview and impact into a single actionable statement. |
| Troubleshoot and Analyse | Specific steps and areas to investigate to diagnose and resolve the event, tailored to the log type and content. |
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