For several years, application delivery controllers (ADCs) have been critical in meeting service-level requirements for enterprise applications implemented on-premises or in the cloud.
A client communicating with a microservices-based app does not have to know about the occurrences that are supporting it to scale the client and microservices independently of each other. It is exactly the type of decoupling provided by a load balancer or reverse proxy.
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Load balancing is the solution to make sure that the microservices can manage security, load, and remain operational. The big advantage comes when you combine conventional North-South load balancer implementation between microservices-based apps and the client with East-West implementation for scalability in a horizontal direction.
The aim is to maintain the protected and stable environment mandated by IT while also meeting the development flexibility and automation requirements of DevOps.
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The Methods for Load Balancing
How is the location for sending the requests determined by a load balancer? While load balancers for applications make intelligent judgments based on the traffic of an app, most load balancing deployments rely on widely used algorithms. These algorithms include the following:
Round Robin
In a loop, the load balancer divides requests for connection to different server pools, irrespective of capacity or relative load.
Weighted Round Robin
It is similar to the conventional round-robin, with the exception that specific back-end servers can be designated a higher priority and thus receive disproportionately more traffic/requests.
Least Connections
The name makes it clear how this algorithm works: the load balancer transmits the request to the server at the back end with the fewest active connections.
Weighted Least Connections
This algorithm is similar to least connections, but some back-end servers can be designated a higher priority, allowing them to receive disproportionately more traffic/requests. In a situation where some back-end servers have a bigger or more efficient resource layout, you would be using WLC to redirect more traffic to them.
Random
Requests are routed to back-end servers in an ad hoc manner. There are no considerations made for different loads, connection count, or anything else.
Now that you’ve got understand load balancing and its importance for microservices architecture, let’s look at some of the most widely used load balancing options for microservices.
The Best Load Balancers for Microservices
Here are the best microservices load balancers that are both efficient and cost-effective. You will have an easier time making the right choice after you have gone through the list of the top 5 load balancers for microservices below.
- Nginx
The platform assists enterprises in their digital transformation efforts by modernizing monolithic apps and delivering microservices software. Nginx is used by well-known companies such as Starbucks, McDonald’s, and Netflix to improve performance, reduce costs, accelerate innovation, and enhance resiliency
Nginx would be a one-stop solution for managing network resources. On cloud web and app channels, the appliance enables governance of microservices and load balancing. The app’s deployment may result in enhanced traffic and security management.
Nginx is best suited for medium and large businesses. The load balancing software improves performance, protection, and dependability. The load balancing software is simple to use and has a wide range of customization options. - HAProxy
Considered by some as the fastest load balancer for microservices, HAProxy is the most comprehensive open-source app delivery controller and load balancing software. It provides dependable TCP/IP load balancing and improves web traffic through the use of Linux-based platforms.
HAProxy is designed with enterprise-level functionalities and services, as well as premium assistance. The application includes a plethora of capabilities, has a flexible setup, and facilitates intelligent request routing based on URL.
HAProxy is best suited for handling high traffic across multiple Linux-based websites. The application integrates easily with existing infrastructure. - Citrix ADC
Citrix ADC is a dependable app delivery controller that is ideal for application deployment calculations and round-robin data center functions. The end result of Citrix ADC is load balancing services in cloud implementations of the highest quality.
It is recommended for businesses that fall in the mid-to-enterprise level organization category. Moreover, it is ideal for managing the network traffic for web apps for an enterprise.
Overall, Citrix ADC streamlines the delivery of network resources in cloud balancing architecture. The client’s request has been met by this cloud platform. Moreover, the user experience functionalities, reverse proxy, efficient load balancing, and protected remote access aspects of this load balancer software have all been praised by customers. - Kemp LoadMaster
Kemp is the most widely used virtual load balancer in the world. Kemp LoadMaster drives the Application Experience (AX) for innovative, positive outcomes. Kemp is a load balancer that enhances and safeguards network traffic.
Kemp reinvented the load balancer by providing world-class technical support, streamlined implementations, and adaptable licensing offerings. It is used to deliver app and web services. It is best suited for basic load balancing of apps on online platforms and in the cloud.
Overall, Kemp LoadMaster is the most cost-effective load balancer. Users all over the world have given it a thumbs up because it is simple to use and offers good value for money. However, there are some drawbacks, such as the lack of innovative features when compared to competitors. - Avi Vantage Software Load Balancer
This load balancer ensures fast and adaptable performance while also providing a secure app experience. Avi Vantage provides a variety of cloud app services, such as an intelligent Web App Firewall (WAF), elastic service mesh, and load balancing. Any environment can benefit from the flexibility and intelligence provided by Avi networks. Overall, this load balancer is ideal for enterprise-level applications, and users have given it high marks for its low-cost delivery across several infrastructures.
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Conclusion to the Top 5 Load Balancers for Microservices
We hope that the review of the best load balancers for microservices listed above assists you in selecting the right one for your application. Accept the knowledge and select the best load balancer for you based on your requirements and the demands of your network traffic. It will help you make the right choice. Contact us to gain additional strategies in using the top 5 Load Balancers for Microservices.
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Frequently Asked Questions
For more detailed guidance and to find out which load balancer would best suit your organization’s specific needs in microservices, do not hesitate to contact us at CloudComputingTechnologies.AI by calling (800) 804-9726 or by completing our easy-to-use web form. Our team is ready to offer expert advice and innovative solutions that propel your projects forward.