How to Use CloudFormation for AWS Automation
Getting Started with CloudFormation
Setting up our first CloudFormation Stack
Modern IT infrastructures can be quite complex and are usually built from many distinct components: computing instances, load balancers, storage volumes, CDNs, caching nodes, one or more database clusters, etc. You need to setup each component specifically for the environment that you are using (like production, staging, development, etc.), to keep them updated and to remove or swap components due to software changes. CloudFormation is a great tool that helps system administrators by managing these details automatically.
In this course, CloudAcademy's Senior Devops Engineer, Antonio Angelino, will discuss how AWS CloudFormation works and how you can use it to build scalable infrastructures. AWS CloudFormation allows you to easily create sets of cloud resources such as Amazon EC2 instances, CloudFront distributions, RDS database instances and other services by just writing a template file.
Who should take this course
This course is on the intermediate level, so you should have some experience with AWS and its basic services like EC2, ELB, AutoScaling, and RDS. Also, some knowledge of Highly Availability concepts, the JSON file format, and Wordpress can be helpful to understand the ideas behind the practical part of the course and the template's syntax.
If you need to learn more about the AWS services cited here, please check our collection of AWS courses, in particular the courses about EC2 and RDS. Also, if you want to test your knowledge on the basic topics covered in this course, check out our AWS questions.
About the Author
Antonio is an IT Manager and a software and infrastructure Engineer with 15 years of experience in designing, implementing and deploying complex webapps.
He has a deep knowledge of the IEEE Software and Systems Engineering Standards and of several programming languages (Python, PHP, Java, Scala, JS).
Antonio has also been using and designing cloud infrastructures for five years, using both public and private cloud services (Amazon Web Services, Google Cloud Platform, Azure, Openstack and Vmware vSphere).
During his past working experiences, he designed and managed large web clusters, also developing a service orchestrator for providing automatic scaling, self-healing and a Disaster Recovery Strategy.
Antonio is currently the Labs Product Manager and a Senior DevOps Engineer at Cloud Academy; his main goal is providing the best learn-by-doing experience possible taking care of the Cloud Academy Labs platform.