This course is part of DevOps with Microsoft Azure ExpertTrack where you’ll learn the core values and principles of DevOps and how to put these into practice.
Learn how to use DevOps to deliver stable environments
This three-week course will give you the skills and knowledge to deliver stable environments rapidly, reliably, and at scale.
You’ll learn how to save time by avoiding manual configuration of environments as well as helping with consistency by representing your environments as code.
Save time and reduce errors with Azure automation
You’ll gain knowledge on the process of implementing Microsoft Azure Automation and be able to put this knowledge into practice by demonstrating how to configure and implement Azure automation.
Delving deep into Azure, you’ll cover areas such as Chef deployments in Azure, Puppet deployments, and how to implement, configure and apply Azure Resource Manager templates.
You’ll also develop an understanding of the basics of Desired State Configuration (DSC). From this, you’ll learn how to create a DSC configuration file, import it into the automation account and compile it.
Assemble ARM templates and plug into Visual Studio Team Services
You’ll learn how to assemble ARM templates and then plug these into Visual Studio Team Services to create pipelines. This skill helps you deliver a more efficient process and reduce your production time.
By the end of the course, you’ll understand important DevOps topics such as Azure, AWS, Chef, and the integration between them. You’ll also learn how to take your code from development to production.
This course is best suited for developers working in an organisation delivering software.
This will also suit IT pros who have some knowledge and experience working with cloud-based solutions and Microsoft Azure, and are looking to expand their skills.
The upgrade version of this course will include all the required CloudSwyft Hands-On Lab practice environments to be used by students and learners on this course, powered by CloudSwyft.
You will need a computer running Windows, Mac OSX or Linux, and a web browser.
