Configure and Manage Azure Internal Load Balancer for High Availability and Scalability
Understand how to configure and manage Azure Internal Load Balancer for high availability and scalability in this lab.

Lab overview
Azure Load Balancer is a vital networking service that distributes incoming traffic across multiple virtual machines or services to ensure high availability, scalability, and optimal performance. This service is essential for organizations and individuals who want to build resilient and responsive applications that can handle varying levels of traffic and withstand potential failures.
An internal load balancer takes this a step further by keeping the frontend IP address private to a virtual network. Instead of exposing a public endpoint, it distributes traffic between backend tiers that should never be reachable from the internet, such as application servers, databases, or line-of-business APIs. This is the pattern behind most multi-tier architectures in Azure.
In this lab, you will build an internal load balancer in front of two virtual machines, then verify traffic distribution from an App Service that shares the same virtual network.
Objectives
By completing this Beginner lab, you will be able to:
- Create an internal Azure Load Balancer and configure its frontend IP configuration on a private subnet
- Add virtual machines to a backend pool so the load balancer can distribute traffic to them
- Set up a health probe to monitor the availability of your backend instances
- Define a load balancing rule that maps a frontend port to a backend port
- Verify traffic distribution from inside the virtual network and observe failover when a backend instance goes offline
Who is this lab for?
This lab is designed for:
- IT professionals and system administrators looking to enhance their Azure networking skills
- Developers who want to learn how to deploy highly available applications on Azure
- Beginners in cloud computing who want to understand the concepts of load balancing and high availability
- Anyone interested in building scalable and resilient applications on the Azure platform
Verified against your live environment
An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed — not multiple choice, real-world proficiency.
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Related reading
Environment
Every lab includes
- Real environment, pre-credentialed
- Automated checks on every step
- Isolated sandbox, auto cleanup
- AI-recommended next steps
Lab curriculum
- 01
Logging into Azure Account using Azure Portal
- 02
Create an Azure Load Balancer with Internal Configuration
1 automated check
Skills validated
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