Transitioning to the cloud requires a design-thinking process. In this course, you'll explore the tasks and considerations involved in CloudOps solution design. You'll examine how to shift from a static to a dynamic infrastructure, utilize knowledge exploration and exploitation, and adopt a CloudOps managed strategy and architecture service.

You'll investigate the role of prototyping tools, using them to create visual drafts of CloudOps solutions. You'll use Lucidchart with AWS and Azure to present architectural diagrams, visualizations to create CI/CD task boards, and Visual Paradigm to create multi-cloud visual architectures and perform a Five Forces Model analysis.

Next, you'll investigate the patterns used to implement reliable and recoverable CloudOps solutions, including health endpoint monitoring patterns. You'll outline the steps involved in managing a hosted cloud service. Lastly, you'll identify the routing requests used in multi-cloud environments.

Continuous automation in CloudOps provides many benefits, but its impact doesn't come without disadvantages. In this course, you'll explore the advantages and disadvantages of several areas of automation, including continuous product delivery, infrastructure provisioning automation, Zero Code multi-cloud automation, and edge networking automation.

Next, you'll investigate how to establish an automation governance model and the role of automation and multi-cloud orchestration in moving cloud workloads and managing infrastructure environments. You'll identify prominent multi-cloud management tools and typical use cases of disposable and repeatable infrastructure.

Moving on, you'll configure Terraform for automated workflows, use Jenkins and Terraform on Amazon EKS to configure continuous integration, and use Ansible and Terraform to set up environments. Lastly, you'll deploy applications to AWS and configure Cloudify to integrate with an automation toolchain and use a single CI/CD plugin.