Internet And Network Technologies
DevOps Automation Across Platforms
DevOps Automation Across Platforms: CloudOps for Multi-cloud Deployments
DevOps Automation Across Platforms: Working with Multi-cloud Tools

DevOps Automation Across Platforms: CloudOps for Multi-cloud Deployments

Course Number:
it_codvapdj_01_enus
Lesson Objectives

DevOps Automation Across Platforms: CloudOps for Multi-cloud Deployments

  • discover the key concepts covered in this course
  • define multi-cloud and list the benefits of adopting the multi-cloud strategy
  • describe multi-cloud architecture design, which can be used to derive effective cloud strategy for application management on multi-cloud environments
  • recognize the opportunities and challenges of hybrid and multi-cloud deployments, along with the critical drivers for hybrid cloud and multi-cloud setups
  • recognize common hybrid and multi-cloud architecture patterns and scenarios where they can be applied
  • list the common network topologies that can be used for hybrid and multi-cloud setup
  • recognize the critical challenges associated with multi-cloud environments and the frameworks that can be used to eliminate these challenges
  • describe CloudOps characteristics that can be applied to build a cloud management platform for multi-cloud environments
  • list the AWS tools that can be used to implement multi-cloud environment CloudOps and their associated features
  • list the Azure tools that can be used to implement multi-cloud environment CloudOps and their associated features
  • list the Google Cloud Platform tools that can be used to implement multi-cloud environment CloudOps and their associated features
  • create a multi-cloud environment with Azure and AWS
  • describe the challenges associated with multi-cloud in driving CI/CD across public and private clouds
  • identify the critical patterns that can be used to build cloud-specific automations in DevOps pipelines and list the steps involved in setting up DevOps-style multi-cloud deployments
  • describe the multi-cloud DevOps Framework that provides a DevOps solution for managing multi-cloud distributed environments
  • summarize the key concepts covered in this course

Overview/Description

Explore the prominent tools and services provided by AWS (Amazon Web Services), Azure, and GCP (Google Cloud Platform) to build, implement, and manage multicloud environments, in this 16-video course. Begin by examining the benefits of adopting the multicloud strategy and multicloud architecture design for application and cloud environment management. Then you will discover the challenges of hybrid and multicloud deployments, how to use the right hybrid and multicloud architecture patterns, the common network topologies for hybrid and multicloud setup, the critical challenges associated with multicloud environments, and the frameworks that can be used to eliminate these challenges. You will learn about the CloudOps characteristics that can be applied to build a cloud management platform for multicloud environments, the tools provided by AWS, Azure, and GCP to implement multicloud environments, the critical patterns for building cloud-specific automations in DevOps pipelines, and the multicloud DevOps framework that provides DevOps solutions for managing multicloud distributed environments.



Target

Prerequisites: none

DevOps Automation Across Platforms: Working with Multi-cloud Tools

Course Number:
it_codvapdj_02_enus
Lesson Objectives

DevOps Automation Across Platforms: Working with Multi-cloud Tools

  • discover the key concepts covered in this course
  • list the major DevOps tools that can be used or adapted for cross-cloud multi-cloud deployments
  • recognize the process of implementing CI/CD DevOps pipelines that employ multiple cloud environments, including source code, monitoring, and tools that are used in each step
  • integrate Azure Active Directory with multiple Amazon Web Services accounts
  • use Azure Pipelines to realize the full DevOps cycle with multi-cloud support
  • setup and configure the CloudOps CI/CD process using Spinnaker to implement the multi-cloud environment
  • install and configure Jenkins to support multi-cloud environments and deploy code to multi-cloud environments using containerization
  • list and compare the tools that can be used to monitor metrics across multi-cloud platforms and environments
  • create secure, private, and site-to-site connections between Google Cloud Platform and Amazon Web Services using Virtual Private Networks to setup multi-cloud environments
  • set up and monitor multi-cloud architecture involving Azure and AWS using New Relic
  • recognize the challenges associated with multi-cloud disaster recovery setup and patterns that can be used to eliminate those challenges
  • set up cloud disaster recovery using Google Cloud Platform and AWS
  • summarize the key concepts covered in this course

Overview/Description

In this 13-video course, you will learn how to work with tools and services provided by Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) to build and implement cross-cloud, multicloud environments. Learners will examine the process of implementing CI/CD (continuous integration/continuous deployment) DevOps pipelines that can employ multicloud environments, along with tools used at each step. Learn how to integrate Azure Active Directory with multiple AWS accounts, use Azure Pipelines to realize the full DevOps cycle with multicloud support, and set up and configure the CloudOps CI/CD process with Spinnaker. Also, explore how to install and configure Jenkins to provision multicloud environments and code; compare tools used to monitor metrics across multicloud environments; and connect GCP with AWS using Virtual Private Networks. Next, learn how to set up and monitor multicloud architecture involving Azure and AWS by using New Relic; view the challenges associated with multicloud disaster recovery (DR) setup; the critical patterns that can be used to set up multicloud DR; and how to set up DR with GCP and AWS.



Target

Prerequisites: none

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