Skip to main content

Running Azure on your laptop– Part 1–What is Azure Arc?

Before I dive into the details on how to get Azure Arc up and running on your laptop, it would be a good idea to start with a short introduction.

Therefore we first have to dive in how Azure works. The hearth of the Azure ecosystem is the Azure control plane. This control plane manages all the resources you can find in Azure. It helps you to inventorize, organize and govern all resources and multiple tools exist that can help you to interact with it (think ARM templates, Bicep, Terraform, Pulumi, …)

You probably know this control plane better as the Azure Resource manager. It controls and manage all the Azure resources which can be as big as a Kubernetes cluster and as small as a static ip address. These resources run inside an Azure region, one of the datacenters that Microsoft has all around the world.

So where does Azure Arc fits into this picture?

If we bring Azure Arc into the picture, we can bring resources that are not running on Azure to the Azure control plane and by doing that we can start using all services on top of the Azure Resource manager to secure, monitor, protect, … these resources. These resources can be running in your own datacenter or even at one of the other cloud providers!

Today, Azure Arc allows you to manage the following resource types hosted outside of Azure:

  • Servers - both physical and virtual machines running Windows or Linux.
  • Kubernetes clusters - supporting multiple Kubernetes distributions.
  • Azure data services - Azure SQL Managed Instance and PostgreSQL Hyperscale services.
  • SQL Server - enroll instances from any location with SQL Server on Azure Arc-enabled servers.

I think this really is a game changer as it allows you to start using all the knowledge, experience and tooling you’ve build up on Azure outside the Microsoft datacenters.

The future looks bright…

Popular posts from this blog

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Kubernetes–Limit your environmental impact

Reducing the carbon footprint and CO2 emission of our (cloud) workloads, is a responsibility of all of us. If you are running a Kubernetes cluster, have a look at Kube-Green . kube-green is a simple Kubernetes operator that automatically shuts down (some of) your pods when you don't need them. A single pod produces about 11 Kg CO2eq per year( here the calculation). Reason enough to give it a try! Installing kube-green in your cluster The easiest way to install the operator in your cluster is through kubectl. We first need to install a cert-manager: kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.14.5/cert-manager.yaml Remark: Wait a minute before you continue as it can take some time before the cert-manager is up & running inside your cluster. Now we can install the kube-green operator: kubectl apply -f https://github.com/kube-green/kube-green/releases/latest/download/kube-green.yaml Now in the namespace where we want t...

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...