In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Discord and Microsoft Azure Monitor workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Create
Create a new channel
Delete
Delete a channel
Get
Get a channel
Get Many
Retrieve the channels of a server
Update
Update a channel
Delete
Delete a message in a channel
Get
Get a message in a channel
Get Many
Retrieve the latest messages in a channel
React with Emoji
React to a message with an emoji
Send
Send a message to a channel, thread, or member
Send and Wait for Response
Send a message and wait for response
Get Many
Retrieve the members of a server
Role Add
Add a role to a member
Role Remove
Remove a role from a member
Delete
Get
Head
Options
Patch
Post
Put
To set up Microsoft Azure Monitor integration, add the HTTP Request node to your workflow canvas and authenticate it using a predefined credential type. This allows you to perform custom operations, without additional authentication setup. The HTTP Request node makes custom API calls to Microsoft Azure Monitor to query the data you need using the URLs you provide.
Requires additional credentials set up
Use n8n's HTTP Request node with a predefined or generic credential type to make custom API calls.
Microsoft Azure Monitor tracks and analyzes telemetry data from Azure resources, on-premises systems, and applications. It enhances performance, security, and troubleshooting with metrics, logs, and AI insights. Integrated with Log Analytics and Application Insights, it enables proactive monitoring and automation.
Microsoft Azure Monitor credentials docs
Using predefined credential types
See Microsoft Azure Monitor integrations
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