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Lead Image ©pakhnyushchyy, 123RF.com

Networking strategies for Linux on Azure

Blue Skies

Article from ADMIN 83/2024
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We explore advanced networking strategies tailored for Linux workloads on Azure.

An analysis of the critical networking components to optimize the performance and security of Linux workloads on Azure includes a look at virtual networks (VNets), network security groups (NSGs), and custom routing. In this article, I offer practical insights and best practices for IT professionals while delving into performance tuning through Accelerated Networking, traffic management with Azure Load Balancer and Application Gateway, and secure hybrid connectivity with VPN Gateway and ExpressRoute.

Overview

Networking in Azure is a critical aspect of managing Linux-based environments, given the growing prevalence of Linux workloads in enterprise cloud deployments. Azure, Microsoft's cloud platform, provides an array of networking tools that are designed to support the unique needs of Linux applications. These tools allow for the creation of high-performance, secure, and scalable networks, which is important for managing complex, distributed Linux-based workloads.

At the heart of networking in Azure is VNet, which serves as a logically isolated network where Linux virtual machines (VMs) and other services operate. VNets enable IT professionals to establish secure, private networks that can be customized to fit a variety of network topologies. This adaptability is important in Linux-based environments, where the network architecture needs to be both strong and flexible to accommodate the demands of diverse applications.

Azure's networking capabilities are particularly well suited for Linux systems, offering the necessary tools to optimize network performance, security, and reliability. The platform supports advanced configurations such as multiple network interfaces on a single VM, custom routing, and the use of both public and private IP addresses. Additionally, Azure's support for IPv6 and its API offerings allow for deep customization and automation, which are important for

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