Operations with Azure - Level 1

AVG Duration1h


Azure provides various tools and services to enable DevOps practices. Building and deploying software applications at high speed into Azure requires you to be proficient with the various engineering tools and services that Azure provides. You will also need to be experienced with Azure networking and associated infrastructure services. Knowing how to operate a virtual network (VNet) to host your compute resources securely and being able to maintain them within a VNet is a key requirement when operating systems and applications deployed into the Azure cloud.

This learning path will teach you the requirements to be an effective Azure DevOps engineer. In this learning path the focus will be on DevOps - monitoring, security, automation, instrumentation. You are going to learn how to properly instrument software applications and collect metrics for analysis and alerting. You'll also learn how to monitor Azure itself - both the individual resources in an application stack and the wider Azure platform. You'll learn all about log aggregation and network security. Finally, you'll learn about Azure's numerous automation paradigms.

The content in this learning path will teach you Operations with Azure to a Level 1 standard.

Learning Objectives

  • Describe the services core to Azure operations


Your certificate for this learning path

Training Content

Course - Beginner - 43m
Designing for Azure Operations
In this course, you'll learn how to configure monitoring and alerting for software applications in Azure, and how to implement autoscaling and automate system tasks,
About the Author
Learning paths180

Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).