SkillSoft Explore Course – Lambers, Inc.

Aspire Infrastructure Support Engineer to CloudOps Engineer CloudOps Engineer Track 4: CloudOps Engineer

An additional level of redundancy for cloud operations can be achieved by leveraging the resources and architectural components of multiple clouds.

In this course you'll explore the concept of the platform as a service (PaaS) framework and the tools available to design diversified architectures. You'll discover open-source and SaaS-based tools used to manage redundant multi-cloud environments, the implementation of geo-redundancy and replication in AWS, Azure, and GCP as well as the key cloud redundancy design principles for building resilient application infrastructures. Also discussed are the key principles and best practices for building multi-cloud deployment platforms and disaster recovery programs.

The course also explores recommended design principles and components for cloud data management, architecting successful disaster recovery plans using multi-cloud technologies, and demonstrating how to work with Visio, Arpio, and Hashicorp to design redundant multi-region cloud architectures. Finally, you'll learn how to replicate an AWS environment to an alternate AWS regions and set up redundant environments on AWS and Azure.

Asset ID	it_dpbrcsdj_02_enus
Course Type	Video Course
Course Category	Infrastructure Support Engineer to CloudOps Engineer

Objectives
Redundant CloudOps Solution Design: Managing Multi-cloud Redundancy discover the key concepts covered in this course describe the concept of a novel PaaS framework and its components that can be adopted to support deployment of multi-tier and stateful applications list and describe the features of prominent design tools that can be used to design diversified architectures and templates design redundant multi-region cloud architecture using Visio with a focus on topology and operations to depict the benefits of redundant architecture state the key cloud redundancy design principles that can help build secure, high-performing, resilient, and efficient infrastructures for applications describe the key principles and critical steps involved in building backup and disaster recovery programs for multi-cloud environments that fulfil the challenging compliance requirements of enterprises recall the recommended best practices for cloud management systems and disaster recovery that need to be adopted to design robust multi-cloud deployment platforms use Arpio to replicate an AWS environment to alternate AWS regions to ensure resiliency against any regional outage specify the recommended design principles and components of cloud data management platforms along with the approach to leveraging them for disaster recovery, test/dev, and self-service management define the steps and checklist that need to be adopted to architect successful disaster recovery plans using multi-cloud technologies outline the concept, characteristics, and implementation of replication in AWS across regions outline the concept, characteristics, and implementation of Azure Storage geo-redundancy describe the data replication features that are afforded by Google Cloud storage use HashiCorp to set up a redundant environment on AWS and Azure list and describe the features of prominent open-source tools that can be used to manage redundant multi-cloud environments list and describe the features of prominent SaaS-based tools that can be used to manage redundant multi-cloud environments summarize the key concepts covered in this course

Objectives

Redundant CloudOps Solution Design: Managing Multi-cloud Redundancy

discover the key concepts covered in this course
describe the concept of a novel PaaS framework and its components that can be adopted to support deployment of multi-tier and stateful applications
list and describe the features of prominent design tools that can be used to design diversified architectures and templates
design redundant multi-region cloud architecture using Visio with a focus on topology and operations to depict the benefits of redundant architecture
state the key cloud redundancy design principles that can help build secure, high-performing, resilient, and efficient infrastructures for applications
describe the key principles and critical steps involved in building backup and disaster recovery programs for multi-cloud environments that fulfil the challenging compliance requirements of enterprises
recall the recommended best practices for cloud management systems and disaster recovery that need to be adopted to design robust multi-cloud deployment platforms
use Arpio to replicate an AWS environment to alternate AWS regions to ensure resiliency against any regional outage
specify the recommended design principles and components of cloud data management platforms along with the approach to leveraging them for disaster recovery, test/dev, and self-service management
define the steps and checklist that need to be adopted to architect successful disaster recovery plans using multi-cloud technologies
outline the concept, characteristics, and implementation of replication in AWS across regions
outline the concept, characteristics, and implementation of Azure Storage geo-redundancy
describe the data replication features that are afforded by Google Cloud storage
use HashiCorp to set up a redundant environment on AWS and Azure
list and describe the features of prominent open-source tools that can be used to manage redundant multi-cloud environments
list and describe the features of prominent SaaS-based tools that can be used to manage redundant multi-cloud environments
summarize the key concepts covered in this course