7 posts tagged with "developer"

We're excited to announce the launch of the AKS-MCP Server. An open source Model Context Protocol (MCP) server designed to make your Azure Kubernetes Service (AKS) clusters AI-native and more accessible for developers, SREs, and platform engineers through Agentic AI workflows.

AKS-MCP isn't just another integration layer. It empowers cutting-edge AI assistants (such as Claude, Cursor, and GitHub Copilot) to interact with AKS through a secure, standards-based protocol—opening new possibilities for automation, observability, and collaborative cloud operations.

PostgreSQL is one of the most popular stateful workloads on Azure Kubernetes Service (AKS). Thanks to the support of a vibrant community, we now have a strong PostgreSQL operator ecosystem that makes it easier for everyone to self-host PostgreSQL on Kubernetes.

Kube Resource Orchestrator introduces a Kubernetes-native, cloud-agnostic way to define groupings of Kubernetes resources. With kro, you can group your applications and their dependencies as a single resource that can be easily consumed by end users.

Just as we collaborate in upstream Kubernetes, Azure is partnering with AWS and Google Cloud on kro (pronounced “crow”) to make Kubernetes APIs simpler for all Kubernetes users. We’re centering the needs of customers and the cloud native community to offer tooling that works seamlessly no matter where you run your K8s clusters.

Developing applications for Kubernetes can mean a lot of time spent waiting and relatively little time spent writing code. Whenever you want to test your code changes in the cluster, you usually have to build your application, deploy it to the cluster, and attach a remote debugger (or add a bunch of logs). These iterations can be incredibly time-consuming. Thankfully, there is a way to bridge the gap between your local environment and a remote cluster, making them feel seamlessly connected. mirrord, which can be used as a plugin for VSCode or IntelliJ or directly in the CLI, is an open-source tool that does exactly that (and much more).

What are Kubernetes Extensions?​

Kubernetes extensions (or cluster extensions) are pre-packaged applications that simplify the installation and lifecycle management of Azure capabilities on Kubernetes clusters. Examples include Azure Backup, GitOps (Flux), and Azure Machine Learning. Third-party extensions (or Kubernetes apps), such as Datadog AKS Cluster Extension and Isovalent Cilium Enterprise, are also available in the Azure Marketplace.

Last May, we announced the preview of Azure Container Storage with backing storage options including Ephemeral Disks, Azure Disks, and Azure Elastic SAN. Earlier today we announced the general availability of Azure Container Storage, the industry’s first platform-managed container native storage service in the public cloud providing highly scalable storage that can keep up with the demands of a containerized environment. With this announcement, Azure Disks and Ephemeral Disks are now generally available, while Azure Elastic SAN remains in preview and is expected to reach general availability soon. In this post, we'll explore the benefits of Azure Container Storage, the inspirations behind its development, and the new features in the GA release.

Workloads deployed on an Azure Kubernetes Service (AKS) cluster often need to access Azure backing resources, such as Azure Key Vault, databases, or AI services like Azure OpenAI Service. Users are required to manually configure Microsoft Entra Workload ID or Managed Identities so their AKS workloads can securely access these protected resources.