Welcome To Azure Arc VERIFIED
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Azure Arc enabled infrastructure is considered an IaaS solution. Customers have virtual machines with differing specifications running on differing hypervisor platforms and you can Arc enable them to operate those virtual machines as you would any native Azure resources. Here you can apply Azure security, policy, and governance to these virtual machine instances. There is an Arc agent that sits in the virtual machine and this helps with connectivity to Azure. See the following URL for more insight into the Azure Arc Agent and what else the agent does -us/azure/azure-arc/servers/agent-overview.
Connectivity is via a Public Endpoint (over the Internet), Proxy Server or Private Endpoint (VPN or ExpressRoute). See the following URL for more insight into using Private Endpoints, which is in preview currently -us/azure/azure-arc/servers/private-link-security.
Here you operate any management services locally within your environment and only a minimal amount of data must be sent to Azure for inventory and billing purposes. This data needs to be exported to a file and uploaded to Azure at least once per month. You can read more about connectivity modes and the requirements for connectivity at the following URL -us/azure/azure-arc/data/connectivity.
Azure Arc enabled SQL Managed Instance is available in two vCore service tiers (General Purpose and Business Critical). The General Purpose service tier is designed for generic workloads and has the feature set of SQL Server Standard Edition, with restriction limits on the amount of CPU and memory (24 cores and 128 GB of RAM respectively). There are a number of other varying capability differences and so it is worth reviewing the following document -us/azure/azure-arc/data/service-tiers.
About a year ago Microsoft announced a new design language in Office. Yes, both the web and Windows (10 & 11), and now it's here!With a new fresh graphical language in Windows 11 this update for Office is really welcome as it is really stunning!You get an Office that has more rounded corners and a theme that will match the dark, or light theme in Windows.
A configmap called 'azure-clusterconfig' is created by helm which holds necessary information like subscription_id, tenant_id, azure_resource_group, azure_region etc. which will be used by all the components created above to establish a secure connection to azure_management and other respective endpoints.
config-agent on the cluster connects to `kubernetesconfiguration.azure.com` securely which enables main connectivity from Azure to the external clusters. Other agents like cluster-identity-operator, resource-syncer and controller-manager connect to management endpoints periodically to perform necessary operations. The metrics-agent polls monitoring information from all the components and push the same to Azure.
A sample repo which constitutes multiple folders with - Namespaces: cluster-config, team-a, team-b - Deployment: cluster-config/azure-vote - ConfigMap: team-a/endpoints is used in the configuration below.
In the configuration below a name azure-voting-app, instruct the agent to deploy the operator in the prod namespace, and give the operator cluster-admin permissions. Source Git-URL is provided in Repository URL. The Helm operator is enabled in this configuration as the Git source consists of helm configuration which works with helm operator.
This configuration deploys a operator (flux) and memcached (a dependency of Flux which caches container image to speed things up) in 'azure-voting-app' namespace and applies the deployment configuration to create voting-app deployments as shown below:
As this platform brings every system into Azure Arc, it becomes very easy to set clear roles and responsibilities for team members based on a clear division of concerns without sacrificing visibility and access. Another big Azure Arc benefit is server management at scale. When you connect an on-premises server to Azure, it becomes a resource and is managed as a part of a resource group. For customers with significant investments in Azure this provides a welcome benefit of extending the management model with which they are familiar to other environments. Customers can easily mix and match physical servers, VMs, and Kubernetes clusters within the hybrid environment.
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