This is well documented: https://learn.microsoft.com/en-us/azure/virtual-machines/ins...
Why would an Azure customer need to query this service at all? I was not aware this service even exists- because I never needed anything like it. AFAI can tell, this service tells services running on the VM what SKU the VM is. But how is this useful to the service? Any Azure users could tell how they use IMDS? Thanks!
I use GCP, but it also has the idea of a metadata server. When you use a Google Cloud library in your server code like PubSub or Firestore or GCS or BigQuery, it is automatically authenticated as the service account you assigned to that VM (or K8S deployment).
This is because the metadata server provides an access token for the service account you assigned. Internally, those client libraries automatically retrieve the access token and therefore auth to those services.
We run a significant amount of stuff on spot-instances (AKS nodes) and use the service detect, monitor and gracefully handle the imminent shutdown on the Kubernetes side.
https://learn.microsoft.com/en-us/azure/virtual-machines/lin...
There is a bunch of things a VM needs when first starting from a standard image. Think certificates and a few other things.
Managed identity is enabled via that endpoint, for example.
Mainly for getting managed-identity access tokens for Azure APIs. In AWS you can call it to get temporary credentials for the EC2’s attached IAM role. In both cases - you use IMDS to get tokens/creds for identity/access management.
Client libraries usually abstract away the need to call IMDS directly by calling it for you.
What happens when someone asks an AI model to fuzz test that...
To have a new vm configure itself at boot
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> Why would an Azure customer need to query this service at all? I was not aware this service even exists- because I never needed anything like it.
The "metadata service" is hardly unique to Azure (both GCP & AWS have an equivalent), and it is what you would query to get API credentials to Azure (/GCP/AWS) service APIs. You can assign a service account² to the VM¹, and the code running there can just auto-obtain short-lived credentials, without you ever having to manage any sort of key material (i.e., there is no bearer token / secret access key / RSA key / etc. that you manage).
I.e., easy, automatic access to whatever other Azure services the workload running on that VM requires.
¹and in the case of GCP, even to a Pod in GKE, and the metadata service is aware of that; for all I know AKS/EKS support this too
²I am using this term generically; each cloud provider calls service accounts something different.