DevOps Engineer to Cloud Architect - Part 2 Cloud Engineer

• Explore potential applications that can be automated, along with

• the advantages, disadvantages, and best practices of automation.
• Examine approaches for developing enterprise automation
• capabilities, key processes for an effective IT automation
• strategy, and benefits of deployment automation. Discover
• approaches for implementing deployment automation, benefits of
• cloud automation, and the common cloud tasks that can be automated.
• Automating DevOps processes, the role of automation in DevOps,
• tools used to automate DevOps practices, the roles and
• responsibilities of a DevOps Automation Architect, how to install
• and configure SaltStack, and how to automate static site deployment
• with AWS CloudFormation are also covered.

• Discover how to implement and improve DevOps practices, tools
• that can be used across various development and operations
• processes, and how to set up DevOps architecture to improve the
• delivery of value. Explore essential DevOps and CloudOps design
• patterns used to enable DevOps and CloudOps in the enterprise, how
• to implement continuous deployment, and how to scale applications
• using cloud services. Examine the DevOps Operational Model,
• essential cloud design patterns that can be applied when building
• cloud-based applications to achieve continuous operations in public
• and private clouds, and critical patterns for implementing
• automation in DevOps and CloudOps workflows. How to build scalable
• architecture in AWS and how to design applications by applying the
• Runtime Reconfiguration pattern is also covered.

• In this course, you'll explore automation approaches, how to

• using AWS to implement DevOps and CloudOps in the enterprise,
• critical automation patterns for implementing AWS DevOps and
• CloudOps, effective approaches for automating IT processes using
• the AWS DevOps Reference Architecture, and the DevOps
• Transformation Assessment and Strategy. Additionally, you'll learn
• about the role of essential AWS Serverless Architecture patterns in
• automating IT processes and prominent containerization services
• provided by AWS for CI/CD. You'll examine how to use and work with
• serverless architecture, AWS Lambda, AWS OpsWorks, AWS Systems
• Manager, and AWS Config to automate CI/CD pipelines. Finally,
• you'll discover how to implement configuration management, manage
• EC2 Systems, enforce compliance for infrastructures, and deploy
• code into containers running on ECS.

• In this course, you'll examine essential features of AWS

• services like AWS CodePipeline, AWS CodeDeploy, and AWS CodeStar.
• You'll learn about Infrastructure as Code and some of the most
• prominent non-AWS tools for automating AWS DevOps and CloudOps
• tasks. You'll discover how to work with AWS CodePipeline, AWS
• CodeDeploy, AWS CloudFormation, AWS CodeStar, AWS CloudWatch, and
• AWS GuardDuty to create automated software release pipelines,
• invoke AWS Lambda functions, automate application deployment,
• implement Infrastructure as Code, manage applications, automate
• continuous monitoring of resource usage, and implement continuous
• security monitoring.

In this course, you will learn about the DevOps workflow and Azure-specific patterns for automating DevOps workflows, as well as prominent Azure tools and technologies that can be used to implement DevOps and CloudOps practices. You'll learn about the different types of version control provided by Azure Repos, along with the key elements and artifacts used in Azure Repos to manage version control and workflows. You'll examine how to create and synchronize local Git repositories with centralized Git repositories in Azure DevOps, use Azure DevOps to create and manage branches, and manage technical debts. Finally, you'll discover how to create Azure CI/CD pipelines, use Azure Pipelines to implement CI/CD for Node.js applications, and automate and execute test cases for web applications.

In this course, you'll learn how to plan, track, and monitor Sprints with Azure Boards, as well as examine prominent features of Azure Artifacts and best practices for managing and sharing packages. You'll also learn about the configuration management and monitoring capabilities of Azure DevOps and how to use Azure Pipelines to set up continuous deployment for containerized applications to Azure Kubernetes Service. Next, you'll discover how to create various test artifacts, use Azure DevOps to discover, install, and publish NuGet, NPM, and Maven packages, and configure Ansible instances on VMs using Ansible Solution Template. Finally, you'll learn how to use Ansible to configure Azure Kubernetes Service clusters in Azure, create resource groups, create AKS clusters within resource groups, and use Azure Blueprint to create, deploy, and update compliant environments.

• Explore the features of Google Cloud Platform, Google Kubernetes

• Engine, best practices for operating containers, and how to build
• cloud-native applications using the CloudOps methodology. Examine
• how Google Cloud Source Repository compares to GitHub and how the
• automated deployment capabilities of Google Cloud Deployment
• Manager compare with Terraform. Delve into the machine learning,
• artificial intelligence, and analytical capabilities of Google
• Cloud Platform, along with the essential design patterns for
• connecting Google Cloud Platform with other cloud platforms.
• Discover how to create and configure Google Kubernetes Engine
• clusters, deploy applications across multiple Kubernetes clusters,
• create repositories and manage code with Google Cloud Source
• Repository, and deploy applications from Cloud Source Repository to
• App Engine. How to automate the configuration of Google Cloud
• Platform resources and application deployment with Google Cloud
• Deployment Manager, create virtual machine instances on Google
• Cloud Platform, build applications with Terraform, configure AutoML
• and BigQuery to manage large volume of data and build ML models,
• set up fully-managed real-time messaging environments, and transfer
• data between Google Cloud Platform and other Cloud service
• providers are also covered.

• In this course, you'll explore the concept of multi-cloud, the

• benefits of adopting the multi-cloud strategy, and the multi-cloud
• architecture design for application and cloud environment
• management. You'll discover the challenges of hybrid and
• multi-cloud deployments, how to use the right hybrid and
• multi-cloud architecture patterns, the common network topologies
• for hybrid and multi-cloud setup, the critical challenges
• associated with multi-cloud environments, and the frameworks for
• eliminating these challenges. In addition, you'll learn about
• CloudOps characteristics that are applied to build cloud management
• platforms, the tools provided by AWS, Azure, and GCP to implement
• multi-cloud environments, the critical patterns for building
• cloud-specific automations in DevOps pipelines, and with how to
• create multi-cloud environments with Azure and AWS.

• In this course, you'll learn about the DevOps tools that can be

• used for cross-cloud multi-cloud deployments, how to implement
• CI/CD DevOps pipelines that employ multiple cloud environments,
• prominent tools that can be used to monitor metrics across
• multi-cloud platforms and environments, challenges associated with
• multi-cloud disaster recovery configuration, and the patterns that
• can be used to eliminate those challenges. You'll also discover how
• to integrate Azure AD with multiple AWS accounts, set up and
• configure CloudOps CI/CD process using Spinnaker, install and
• configure Jenkins to provision multi-cloud environments and deploy
• code, connect GCP with AWS using VPNs, monitor multi-cloud
• architecture with New Relic, and set up cloud disaster recovery
• using GCP and AWS.

Final Exam: DevOps Automation Architect will test your knowledge and application of the topics presented throughout the DevOps Automation Architect track of the Skillsoft Aspire DevOps Engineer to CloudOps Architect Journey.