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Automating Deployment and Scale of Azure IaaS Solutions

John Savill
Automation is key to fully utilizing Azure in a consistent and optimal manner. In this course, Automating Deployment and Scale of Azure IaaS Solutions, you will learn how to create and scale services in an automated fashion. First, you will delve into the...
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Automation is key to fully utilizing Azure in a consistent and optimal manner. In this course, Automating Deployment and Scale of Azure IaaS Solutions, you will learn how to create and scale services in an automated fashion. First, you will delve into the automation technology options offered within Azure. Next, you will dive into using PowerShell and JSON templates to define and deploy services to Azure. Last, you will learn how to scale resources in Azure. When you are finished with this course, you will have the foundational knowledge to help you script, automate, and scale Azure deployments.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Intends to familiarize learners with Azure's automated deployment and scaling for IaaS solutions
Will help learners craft PowerShell and JSON templates for defining and deploying services in Azure
Covers how to scale resources and services within Azure
May require an understanding of PowerShell and JSON for optimal comprehension

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Career center

Learners who complete Automating Deployment and Scale of Azure IaaS Solutions will develop knowledge and skills that may be useful to these careers:
Azure Cloud Architect
In the role of an Azure Cloud Architect, you are responsible for designing and implementing cloud solutions on the Microsoft Azure platform. An understanding of Azure services is essential. This course can help inform you on the automation technologies, resources, and tools that are available to you within Azure. This course can help you lay the foundation to enter this role by building your knowledge of Azure infrastructure as a service (IaaS) solutions.
Azure Infrastructure Engineer
An Azure Infrastructure Engineer is a cloud engineer who focuses on infrastructure services and solutions. Possessing knowledge of PowerShell and JSON templates can aid you in this role. This course may be useful for you if entering this role, as it delves into these technologies as a means to define and deploy services to Azure.
Azure DevOps Engineer
The Azure DevOps Engineer is responsible for end-to-end DevOps pipelines in Azure. This includes automating deployment and scale processes within Azure. Taking this course can help build a foundation and understanding of automation technologies and processes for working in Azure.
Cloud Architect
As a Cloud Architect, you will design, develop, and manage cloud-based solutions. You must have a deep understanding of Azure and its components, including automation technologies and processes, for this role. This course can help provide a foundation of knowledge to begin your journey as a Cloud Architect.
Cloud Engineer
A Cloud Engineer is responsible for designing, implementing, managing, and supporting cloud-based solutions. This can include automating deployment and scale processes. This course may be useful in preparing you to step into this role.
DevOps Engineer
The DevOps Engineer is responsible for continuous development, delivery, and operations of software and services. This can include using automation tools and processes. This course may be useful in helping you establish a foundation for this role.
Infrastructure Engineer
Infrastructure Engineers design, build, and maintain the physical and virtual infrastructure used to support an organization's IT systems. This can include deploying and scaling resources. This course may provide some foundational understanding that can aid in preparing you for this role.
Systems Engineer
Systems Engineers design, implement, and maintain computer systems and networks. This can include automating deployment and scale processes. This course may provide some basic foundational knowledge to help you begin your journey towards becoming a Systems Engineer.
Software Engineer
Software Engineers design, develop, and maintain software applications. This can include automating deployment and scale processes. This course may provide you with knowledge that can aid you in entering or progressing in this role.
IT Manager
IT Managers are responsible for planning, implementing, and managing an organization's IT systems and resources. This can include automating deployment and scale processes. This course may provide a foundational understanding of some of the technologies and processes you will need to be familiar with in this role.
IT Specialist
IT Specialists provide technical support and assistance to users of computer systems and networks. This can include automating deployment and scale processes. This course may be useful in helping you understand automation technologies and processes.
Network Administrator
Network Administrators are responsible for the design, implementation, and maintenance of computer networks. This can include automating deployment and scale processes. This course may provide a foundational understanding of some of the technologies and processes needed in this role.
Data Engineer
Data Engineers design, build, and maintain the infrastructure and tools used to store, process, and analyze data. This can include automating deployment and scale processes. This course may provide a foundational understanding of some of the technologies and processes needed in this role.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. This can include using automation tools and processes. This course may be useful in providing a foundational understanding of how automation can be used in data analysis.
Security Analyst
Security Analysts are responsible for identifying and mitigating security risks to an organization's IT systems and resources. This can include using automation tools and processes. This course may be useful in providing a foundational understanding of how automation can be used in security.

Reading list

We haven't picked any books for this reading list yet.
Teaches you how to use deep learning to automate tasks in a variety of domains, such as computer vision, natural language processing, and speech recognition.
Serves as a comprehensive guide to the Microsoft Azure cloud platform, covering core concepts, services, and best practices. It provides a solid foundation for understanding Azure's capabilities and how to leverage them effectively.
Provides a comprehensive overview of automated machine learning, including its methods, algorithms, and applications.
This book, while not specific to Azure, provides a comprehensive overview of designing and building data-intensive applications. It covers topics such as data modeling, data storage, data processing, and data analytics, offering valuable insights applicable to designing scalable and efficient data-driven solutions on Azure.
This comprehensive handbook covers the entire field of robotics and automation, from the basics to the latest developments. It is an essential resource for anyone who wants to learn about this rapidly growing field.
Focuses on Azure Container Registry, a service for building, storing, and managing container images. It explains how to create and manage container registries, push and pull images, and secure and automate the container image lifecycle.
Explores serverless computing on Microsoft Azure, a model where cloud providers manage the infrastructure and servers, allowing developers to focus on code execution. It covers concepts such as Functions, Logic Apps, Service Bus, and Event Grid, providing guidance on designing and building serverless applications.
Teaches you how to use Python to automate tasks in a variety of domains, such as web scraping, data analysis, and software testing.
Introduces Cloud Native DevOps practices and Azure Kubernetes Service (AKS), a managed Kubernetes service on Azure. It covers topics such as continuous integration, continuous delivery, and infrastructure automation, enabling developers to adopt modern DevOps approaches in their Azure Kubernetes environments.
Provides a gentle introduction to machine learning, including its concepts, algorithms, and applications. It great resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of reinforcement learning, including its theory, algorithms, and applications.
Provides a comprehensive overview of robotics, including its modelling, planning, and control. It valuable resource for anyone who wants to learn more about this field.
Explores the impact of automation on the economy and society. It thought-provoking read for anyone who is interested in the future of work.
Provides a comprehensive overview of modern software engineering practices, covering the principles, practices, and tools involved in building and deploying high-quality software.
Provides a comprehensive overview of cloud native Java development, covering the principles, practices, and tools involved in building and deploying Java applications in the cloud.
Provides a detailed overview of site reliability engineering (SRE), covering the principles, practices, and tools involved in operating large-scale distributed systems.
Provides a practical guide to DevOps, covering the principles, practices, and tools involved in creating high-performing technology organizations.
Provides a comprehensive overview of continuous delivery, covering the principles, practices, and tools involved in automating the software delivery process.

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