Gateway Load Balancer Architecture

Intermediate
2m 26s
196
5/5

In this lesson, we introduce the latest addition to the AWS Elastic Load Balancer Family, the AWS Gateway Load Balancer. It solves the problem of scaling third-party virtual network appliance deployments to match the scalability of your applications.

Learning Objectives

This lesson is an advanced-level AWS Networking lesson. You will learn about the Gateway Load Balancer and how it’s implemented to support virtual network appliance deployments in Amazon VPCs.

Intended Audience

This lesson is intended for architects and network engineers looking to understand the basic function and operation of AWS Gateway Load Balancer in Amazon VPCs. This lesson also covers some of the objectives for both the solutions architect professional certification exam and the AWS Networking Specialty certification exam.

Prerequisites 

To get the most out of this lesson, you will need to meet the requirements for any of the associate-level certifications by AWS or the equivalent experience.  

This session expects that you are fluent in the fundamentals of networking using AWS, including VPC, Subnets, Route Tables, and VPC Endpoints, among other advanced features. We will have a review of these fundamental ideas for the sake of context in the explanations. For details about these items, you can refer to the Cloud Academy lesson Working With AWS Networking and Amazon VPC

For details about Using Elastic Load Balancing & EC2 Auto Scaling to Support AWS Workloads, you can refer to the lesson listing of the same name here at Cloud Academy. 

About the Author
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Jorge Negrón
AWS Content Architect
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Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).

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