Internet And Network Technologies
Hybrid and Multi-cloud Architecture Load Balancing Design
Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions
Multi-cloud Load Balancing: Load Balancing Design Strategies

Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions

Course Number:
it_lbhmspdj_02_enus
Lesson Objectives

Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions

  • discover the key concepts covered in this course
  • describe the differences between private, public, hybrid, and multi-cloud models
  • recognize opportunities and challenges of adopting cloud technologies
  • describe the steps to plan for a hybrid or multi-cloud implementation
  • recognize common design patterns for hybrid and multi-cloud architectures
  • describe commonly used network topologies for hybrid and multi-cloud networks
  • outline best practices to use when selecting a topology for a hybrid or multi-cloud topology
  • describe how to utilize load balancers for disaster recovery practices in hybrid and multi-cloud scenarios
  • describe common architectural practices used in hybrid and multi-cloud models
  • recognize the options available for DNS routed load balancing across data centers in hybrid and multi-cloud scenarios
  • design a reference architecture for a multi-cloud scenario with a combination of Layer 4 and Layer 7 load balancers
  • design a reference architecture for a hybrid cloud scenario
  • design a reference architecture for a hybrid cloud scenario using load balancers for disaster recovery
  • summarize the key concepts covered in this course

Overview/Description
The cloud brings many opportunities, but it also brings challenges to network design and operational workload placements. In this course, you'll learn about the private, public, hybrid, and multi-cloud models. You'll explore the challenges and opportunities of adopting the cloud and how to plan for a migration. Next, you'll examine design patterns, architectures, and topologies of cloud deployments, as well as best practices to use when selecting a topology. You'll explore options available for DNS routed load balancing across data centers. Finally, you'll learn how to design a cloud architecture and how to incorporate load balancers for various stages of data flow.

Target

Prerequisites: none

Multi-cloud Load Balancing: Load Balancing Design Strategies

Course Number:
it_lbhmspdj_01_enus
Lesson Objectives

Multi-cloud Load Balancing: Load Balancing Design Strategies

  • discover the key concepts covered in this course
  • describe how to apply design pattern theory to build efficient, reusable architectures
  • identify the components of a network design
  • describe the steps to design a network architecture
  • describe where a load balancer fits into various distributed system topologies
  • describe the distribution schemes used by load balancers
  • outline the steps to determine the required component capacity to build an efficient network
  • recognize functions available in load balancers and which of them should be considered for a network architecture
  • describe the best practices to take when implementing load balancing technologies
  • recognize the different methods and algorithms used in load balancing
  • implement Layer 4 load balancing using AWS Network Load Balancer
  • implement Layer 7 load balancing using AWS Application Load Balancer
  • load balance an IIS web farm using Application Request Routing in IIS
  • summarize the key concepts covered in this course

Overview/Description
Understanding design theory, network design, and how load balancers work is critical to an effective network deployment. In this course, you'll learn about design theory and how to apply it to build a reusable patterns. Then, you'll explore network design concepts and methods, where you'll examine how an enterprise network is structured for maximum efficiency. Next, you'll move on to learn about where a load balancer fits into the network architecture. You'll explore capacity planning and how to right-size your load balancer deployments, as well as considerations and best practices for load balancer deployments. Finally, you'll explore the methods and algorithms used in load balancing.

Target

Prerequisites: none

Close Chat Live