Genre: eLearning | Language: English
This course will teach you how to create a fully automated blueprint for establishing foundational AWS account resources, how to build and deploy complete production-class environments for your Docker applications, and so much more.
Docker has become the modern standard for distributing and running cloud native applications, whilst Amazon Web Services provides the world's most powerful and popular cloud computing platform. Together, these technologies can help you deliver your applications faster, more reliably, and at scale. In this course, Docker in Production Using Amazon Web Services, you'll learn how to master these technologies and create a powerful framework and toolset that you can use in the real world for your own applications. First, you'll discover how to leverage the power of Ansible and CloudFormation to create a generic and reusable tool chain for deploying not just Docker applications, but any cloud service you can think of using a fully automated, infrastructure as code approach. Next, you'll use this tool chain to deploy foundational resources in your AWS account, EC2 container registry repositories, Virtual Private Cloud (VPC) networking resources, and an HTTP proxy service that secures outbound communication for your applications. With this foundation in place, you'll create a production-class environment for a Microservices application that leverages a number of native AWS services including the EC2 container service, Relational Database Service, Autoscaling Groups and Application Load Balancers. Finally, you'll learn how to solve operational challenges including how to extend CloudFormation to perform custom provisioning tasks using AWS Lambda functions, how to securely manage and inject secrets into your Docker applications and supporting resources, and so much more. By the end of this course, you'll have developed an advanced understanding of how you can use Docker and AWS to deploy and run your applications faster, smarter, and more reliably than ever before.