Book Image

Hands-On Linux Administration on Azure

By : Frederik Vos
Book Image

Hands-On Linux Administration on Azure

By: Frederik Vos

Overview of this book

Azure’s market share has increased massively and enterprises are adopting it rapidly, while Linux is a widely-used operating system and has proven to be one of the most popular workloads on Azure. It has thus become crucial for Linux administrators and Microsoft professionals to be well versed with managing Linux workloads in an Azure environment. With this guide, system administrators will be able to deploy, automate, and orchestrate containers in Linux on Azure. The book follows a hands-on approach to help you understand DevOps, monitor Linux workloads on Azure and perform advanced system administration. Complete with systematic explanations of concepts, examples and self-assessment questions, the chapters will give you useful insights into Linux and Azure. You’ll explore some of Linux’s advanced features for managing multiple workloads and learn to deploy virtual machines (VMs) in Azure. Dedicated sections will also guide you with managing and extending Azure VMs’ capabilities and understanding automation and orchestration with Ansible and PowerShell DSC. In later chapters, you’ll cover useful Linux troubleshooting and monitoring techniques that will enable you to maintain your workload on Azure. By the end of this book, you’ll be able to make the most out of Azure’s services to efficiently deploy and manage your Linux workloads.
Table of Contents (14 chapters)

Performance monitoring

In the Azure Management and Operations Management Suite, there are many options available for monitoring. For instance, the performance counters gives you much insight about your workload. There are also application-specific options available.

Even if you don't use OMS, Azure can provide you all kinds of metrics per virtual machine, but not in one central place. Just navigate to your virtual machine. In the Overview pane, you can see performance data for CPU, memory, and storage. Detailed information is available in the section Metrics under Monitoring. There are all kinds of data available, such as CPU, storage, and networking:

The problem with many of these solutions is that they are application specific, or you are looking into the end-results, without knowing what the cause is. If you need information about the general performance of the resources...