Azure Software Load Balancer: A Comprehensive Guide to High Availability

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The Azure Software Load Balancer is a powerful tool for ensuring high availability in your cloud-based applications. It distributes incoming traffic across multiple virtual machines, preventing any single point of failure.

With the Azure Load Balancer, you can configure multiple instances of your application, and it will automatically direct traffic to the instance that's available. This ensures that your users always get a fast and reliable experience.

The Load Balancer can handle a large volume of traffic, up to 250,000 concurrent connections. This makes it suitable for even the most demanding applications.

Why Use Azure Load Balancer?

Azure Load Balancer is a powerful tool that can help you scale your applications and create highly available services. It supports both inbound and outbound scenarios, providing low latency and high throughput.

You can load balance internal and external traffic to Azure virtual machines, making it easier to manage traffic within your private virtual networks. This is especially useful for creating multiple-tiered hybrid applications.

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Azure Load Balancer scales up to millions of flows for all TCP and UDP applications, making it a reliable choice for large-scale deployments. With pass-through load balancing, you can achieve ultralow latency.

Here are some key scenarios you can accomplish with Azure Load Balancer:

  • Load balance internal and external traffic to Azure virtual machines.
  • Use pass-through load balancing for ultralow latency.
  • Increase availability by distributing resources within and across zones.
  • Configure outbound connectivity for Azure virtual machines.
  • Use health probes to monitor load-balanced resources.
  • Employ port forwarding to access virtual machines in a virtual network by public IP address and port.
  • Enable support for load balancing of IPv6.
  • Use multidimensional metrics through Azure Monitor.

Azure Load Balancer also supports load balancing services on multiple ports, multiple IP addresses, or both, making it a versatile tool for managing traffic. You can even move internal and external load balancer resources across Azure regions.

SLA

The SLA (Service Level Agreement) for Azure Load Balancer is pretty straightforward.

If you're using the Basic Load Balancer, you don't have to worry about an SLA, as it's offered at no charge with no SLA.

However, if you're looking for more features, you'll want to consider the Azure Load Balancer Pricing, which has a specific SLA.

You're charged based on the number of outbound rules, with the first five rules being free.

Key Features and Concepts

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Azure Load Balancer supports TCP/UDP-based protocols and scales automatically as traffic increases. It also allows you to control the inbound and outbound network traffic with NAT.

A group of VMs or instances in a VM scale set serving the incoming request is called a backend pool. You can determine the health status of backend pool instances with health probes.

Azure Load Balancer supports IPv6 and has two load balancer tiers: Basic and Standard. The Basic Load Balancer supports up to 300 instances, while the Standard Load Balancer supports up to 1000 instances.

Here's a comparison of the Basic and Standard Load Balancers:

Security by Default

Security by default is a fundamental aspect of Azure's architecture. Standard Load Balancer is built on the Zero Trust network security model, which means it's designed to be secure from the ground up.

This approach ensures that your resources are protected by default. Standard Load Balancer is part of your virtual network, which is private and isolated for security.

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Here's a closer look at the security features of Standard Load Balancer:

  • Standard Load Balancer is built on the Zero Trust network security model.
  • Standard Load Balancer is part of your virtual network, which is private and isolated for security.
  • Standard load balancers and standard public IP addresses are closed to inbound connections, unless network security groups (NSGs) open them.
  • You use NSGs to explicitly permit allowed traffic.
  • Basic Load Balancer is open to the internet by default.
  • Azure Load Balancer doesn't store customer data.

This means you have complete control over who can access your resources and when. It's a big relief to know that your data is secure, and you can trust Azure to keep it safe.

Features

Azure Load Balancer supports TCP/UDP-based protocols, making it a versatile solution for various applications.

With its ability to scale automatically as traffic increases, you don't have to worry about your application being overwhelmed by a sudden surge in users.

The load-balancing decision is based on a connection tuple, which allows for efficient distribution of traffic.

Azure Load Balancer also supports IPv6, enabling you to connect to IPv6 endpoints on your Azure virtual machines.

You can control the inbound and outbound network traffic using NAT, giving you fine-grained control over your application's network settings.

Here's a summary of the load balancer tiers:

The Standard Load Balancer offers additional features, including support for multiple frontends, high availability ports, and secure by default configuration.

Azure Load Balancer supports multiple health probes, including TCP, HTTP, and HTTPS, allowing you to monitor the health of your application instances.

You can also use Azure Monitor to check the metrics, alerts, and resource health of Azure Load Balancer, providing you with valuable insights into your application's performance.

How to Use Azure Load Balancer

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To use Azure Load Balancer, start by creating a resource group in the Azure Portal, providing a name and region for the resource group, and clicking "Create" to create it. This will serve as the foundation for your load balancing setup.

You can then create a virtual network and virtual machines within it, using the Azure portal to navigate to Virtual Network and clicking on "Add" to create a new virtual network. Here, you can create multiple virtual networks for checking peering connections.

Next, create virtual machines, navigating to Virtual machines in the Azure portal and clicking on "Add" to create a new virtual machine. Choose the Ubuntu image, select an availability option, and click "Create" to create the virtual machine. You'll also need to create public IP addresses with a Basic SKU and dynamic assignment.

Once you have your virtual machines set up, connect them to each other and create a basic load balancer, adding both VMs to the backend pool. After configuring the load balancer, copy the IP address of the load balancer to test it.

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To verify the load balancer, hit the IP address of the load balancer, and you should see the content of both VMs due to round-robin load balancing. This will give you a basic understanding of how load balancing works in Azure.

Here's a quick rundown of the steps involved in setting up a basic load balancer:

  • Create a resource group
  • Create a virtual network and virtual machines
  • Connect the virtual machines to each other
  • Create a basic load balancer and add the virtual machines to the backend pool
  • Verify the load balancer by hitting its IP address

Frequently Asked Questions

What is the difference between Azure Application Gateway and load balancer?

Azure Application Gateway is a layer 7 load balancer that routes traffic based on application logic, whereas a traditional load balancer operates at layer 4 and routes traffic based on IP and port numbers. This difference allows Application Gateway to provide more advanced traffic management capabilities.

Is Azure load balancer IaaS or PaaS?

Azure load balancer supports both IaaS (virtual machines) and PaaS (cloud services) in the Microsoft Azure cloud. It's a scalable and resilient solution for your applications.

Oscar Hettinger

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Oscar Hettinger is a skilled writer with a passion for crafting informative and engaging content. With a keen eye for detail, he has established himself as a go-to expert in the tech industry, covering topics such as cloud storage and productivity tools. His work has been featured in various online publications, where he has shared his insights on Google Drive subtitle management and other related topics.

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