Redundant CloudOps Solution Design: Managing Multi-cloud Redundancy

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

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.

Redundant CloudOps Solution Design: Redundancy Principles

Redundant CloudOps Solution Design: Redundancy Principles

• discover the key concepts covered in this course
• identify the prevalent issues that cause downtime within infrastructure layers and outline how to manage challenges by adopting a solution architecture powered by redundancy
• describe the concept and objective of redundancy along with the major forms of redundancy that help increase system reliability
• describe hierarchical network design and outline how it uses core, distribution, and access layers with redundancy to eliminate a single point of failure in the network
• recognize the prominent redundancy architectures that can be used to manage reliability in standard architectures and improve availability and resiliency
• list and describe the features of various types of cloud computing architectures with a focus on single-site, non-redundant, and redundant architectures
• recognize the differences among redundancy management approaches in diversified deployment environments with a focus on legacy and single cloud
• recognize the similarities among and limitations and benefits of various redundancy management approaches in diversified deployment environments with a focus on legacy, single cloud, and multi/hybrid cloud target configurations
• recall the key factors that need to be considered in network redundancy in order to add redundancy to network design
• recognize the need for redundancy in data centers along with the various architectures that help eliminate the risks of downtime
• define the concept of site redundancy and outline the role of geo-redundancy in resolving the problems of unused computing resources
• recognize the need for data replication to achieve redundancy and describe the features of asynchronous and synchronous replication that help enable data replication
• define the concept of availability in terms of the impact on both the enterprise and the end users or consumers
• recognize the conceptual aggregated work path for cloud services that can be adopted to implement redundancy and enable end-to-end availability
• summarize the key concepts covered in this course

Continuous operations and improvements in the cloud is key for successful CloudOps and requires the appropriate components, tools, and best practices to be implemented. Cloud virtualization platforms offer the capability to provide highly redundant, failure-proof systems through the use of hardware and software components.

In this course, you'll explore the concept and objective of redundancy and the hierarchical network design used to attempt to eliminate single points of network failure in the network. Part of the discussion includes the key redundancy architectures and factors to consider in providing redundancy in the network design. You'll also examine the features of various cloud computing architectures and differentiate among redundancy management approaches in diversified deployment environments.

Next, you'll investigate the need for redundancy in data centers and outline the concept of site redundancy and the role of geo-redundancy in resolving problems of unused computing resources. You'll then identify the need for data replication to achieve redundancy, the features of asynchronous and synchronous replication, along with the conceptual aggregated work path for cloud services to implement redundancy and enable end-to-end availability.