DevOps Automation Across Platforms: CloudOps for Multi-cloud Deployments

DevOps    |    Intermediate
  • 16 Videos | 1h 33m 52s
  • Includes Assessment
  • Earns a Badge
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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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 16s
    UP NEXT
  • Playable
    2. 
    Multi-cloud Strategy
    4m 55s
  • Locked
    3. 
    Multi-cloud Architecture Design
    8m 15s
  • Locked
    4. 
    Drivers of Multi-cloud and Deployment
    5m 54s
  • Locked
    5. 
    Adopting the Right Architecture Patterns
    5m 42s
  • Locked
    6. 
    Network Topologies for Multi-cloud Setup
    4m 51s
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    7. 
    Multi-cloud Frameworks
    7m 23s
  • Locked
    8. 
    CloudOps and Multi-cloud Environments
    4m 51s
  • Locked
    9. 
    AWS Tools for Multi-cloud Ops
    4m 46s
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    10. 
    Azure Tools for Multi-cloud Ops
    4m 55s
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    11. 
    GCP Tools for Multi-cloud Ops
    3m 49s
  • Locked
    12. 
    Creating a Multi-cloud Environment
    14m 37s
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    13. 
    CI/CD on Multi-cloud Environments
    3m 42s
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    14. 
    Patterns of DevOps Automation on Multi-cloud
    6m 22s
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    15. 
    Multi-cloud DevOps Framework
    4m 24s
  • Locked
    16. 
    Course Summary
    1m 10s

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