Deploying Open Source Software on Azure: New Guides for AKS and VMs

“Tech companies born from an open source mindset understand this: It is our ability to collaborate that makes our dreams believable and ultimately achievable. We must learn how to build on the ideas of others. do.”—Satya Nadella, Microsoft CEO.

For over a decade, Azure has invested in deeply integrating open source into its services and ecosystem, and this continues to accelerate.

To further accelerate this integration and respond to user needs, our Customer Experience team developed an end-to-end guide for deploying open source software. Azure Kubernetes service (AKS) and Azure Virtual Machines (VM). The guide explains initial project selection. PostgreSQL, Balki, Karpenter-based NAP, flight, Kaitoand inspector gadget Power stateful, AI, and other common workloads.

Why did we create this guide?

Deploying and managing open source software on a cloud platform can be challenging. To address this issue, this guide is designed to help you bring some of the most important and highly adopted open source projects to Azure as quickly as possible using best practice guidance.

This guide provides clear step-by-step instructions, troubleshooting tips, and optimization strategies. To make your job easier, you can refer to some of the following best practice guides: Automatically deployed from portalGet started quickly or enhance your learning experience.

Deploy best practices across workloads

The guide covers established projects such as: PostgreSQL, Balki We highlight new and exciting projects such as (Redis fork) and WordPress. Kaito and flight Enables open source AI application development. It also provides guidance on implementing important features, such as the Karpenter-based AKS node auto-provisioning extension. inspector gadget Gather real-time kernel-level insights using: eBPF.

Below is a brief overview of each guide currently available. In addition to the basic installation steps:, Guide Details best practice Recommendations for Networking and Security. You’ll also find recommendations for cluster architecture if deployed on Kubernetes.. These guides walk you Through the entire process, early Set up with advanced configurationsemenSEnsures successful application deployment even for users with limited cloud experience Best practices are enabled by default.

Stateful workloads

PostgreSQL is an essential part of modern cloud-native application development. Run PostgreSQL on Kubernetes with the same high availability and multi-region redundancy that a managed or VM deployment provides. Deploying a highly available PostgreSQL database on AKS.

High-performance key-value data stores like Valkey support a variety of workloads, such as caching, message queues, or native databases. Deploying a Valkey cluster on AKS.

AI workloads

AI toolchain operators (Kaito) Automatically provisions the required GPU nodes and sets up the associated inference servers as endpoint servers for your AI models. In AKS cluster. Deploy AI models to Azure Kubernetes Service (AKS) using AI toolchain operators (preview).

Flyte lets you quickly build and test complex workflows to train small models, scale GPU-accelerated deep learning, or improve statistical summarization. Deploy data and machine learning pipelines using Flyte on Azure Kubernetes Service (AKS).

normal workload

Deploy your website or blog built on the LEMP stack using WordPress with one click. Deploy a LEMP stack with WordPress on a VM.

Newly built based on the open source Kubernetes Autoscaler carpenterNode Auto-Provisioning (NAP) for AKS optimizes compute resources for better application availability and efficiency. Node auto-provisioning (preview) – Azure Kubernetes Service | microsoft run.

Efficiently debug and inspect your infrastructure in real time with Inspektor Gadget, a tool and framework for collecting data from Kubernetes clusters and Linux hosts using eBPF. Capture real-time system insights from AKS clusters – Azure | microsoft run.

What’s next?

Azure is committed to helping our customers build and run workloads on the open source solutions they use. At Azure, we will continue to expand our library of best practice deployment guides to help developers deploy OSS across Azure Kubernetes Service (AKS) and Virtual Machines (VMs). And there’s more to come!

You can get more information from various open source projects such as Apache Kafka, Apache Airflow, etc.

Deploy open source technology on Azure