Best Load Balancing Software
Load balancing software manages incoming network traffic and distributes workloads across multiple servers using algorithms such as round-robin, least connections, or IP hash. This ensures optimal resource utilization, prevents bottlenecks, and delivers high availability, even under heavy or fluctuating traffic conditions.
High-traffic websites and applications use load balancers to allocate requests efficiently, prevent server overload, and ensure fast response times. With features like server health monitoring, load balancers redirect traffic from underperforming servers to maintain uninterrupted service.
Industries like e-commerce, finance, and healthcare rely on load balancers to manage unpredictable traffic, minimize downtime, and ensure seamless operations during failovers or surges. Without them, organizations risk resource wastage, server failures, and degraded user experiences, jeopardizing operational continuity.
Load balancer software includes features like auto-scaling, health monitoring, secure sockets layer (SSL) offloading, session persistence, and DDoS protection. Auto-scaling adjusts resources for fluctuating traffic, while health monitoring ensures traffic is rerouted to functioning servers. SSL offloading handles encryption efficiently, reducing server load. Session persistence maintains user connections to the same server, essential for applications like banking, and DDoS protection safeguards against attacks that could overwhelm the system.
Load testing tools complement load balancing by simulating traffic surges and evaluating system performance under stress. These tools help organizations identify bottlenecks, test failover strategies, and fine-tune configurations, optimizing the effectiveness of the best load balancing software.
To qualify for inclusion in the Load Balancing category, a product must:
Featured Load Balancing Software At A Glance
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HAProxy is an open-source software load balancer and reverse proxy for TCP, QUIC, and HTTP-based applications. It provides high availability, load balancing, and best-in-class SSL processing. HAPr
HAProxy is a load balancer and reverse proxy that provides control over traffic and load balancing. Reviewers appreciate HAProxy's reliability, high performance, and the control it provides over traffic and load balancing, as well as its security features and ease of installation and maintenance. Reviewers experienced complexity in configuring HAProxy, especially for beginners, and some found it lacking in compatibility with certain features and found the user interface could be improved for non-technical users.
21,197 Twitter followers
Akamai Cloud Computing is a platform and broad set of distributed cloud and edge computing services to help businesses build, deploy, and manage applications and workloads on the world’s most distribu
Akamai Cloud Computing is a cloud-based platform that hosts servers and provides various services such as virtual private servers, domain DNS, and cloud infrastructure management. Users like the platform's ease of use, competitive pricing, global network performance, and the flexibility to scale resources based on project demands, along with its user-friendly dashboard and clear documentation. Reviewers noted some negative aspects such as slow syncing of large files, increasing prices, limited reporting capabilities, a complicated user interface due to extensive customization options, and limited support for uploading and managing pre-existing custom images.
115,474 Twitter followers
Cloudflare is the connectivity cloud for the "everywhere world," on a mission to help build a better Internet. We provide a unified platform of networking, security, and developer services delivered f
Cloudflare Application Security and Performance is a platform that combines security and performance features to protect and speed up websites. Reviewers like the platform's ability to improve application speed and availability, its robust protection against DDoS attacks and web threats, and its user-friendly interface that requires minimal technical effort. Users reported that some advanced configuration can be complex for new users, certain powerful features are limited to higher-tier plans, and there have been instances of outages affecting application availability.
271,202 Twitter followers
Progress Kemp LoadMaster is a high-performance load balancer and ADC (Application Delivery Controller) that maximizes application security availability and resilience in the cloud, as a virtual applia
Progress Kemp LoadMaster is a load balancing solution that offers traffic management, performance monitoring tools, and built-in templates for virtual service health and connection volumes. Reviewers frequently mention the product's ease of use, stability, and advanced features such as layer-4/7 load balancing, SSL/TLS offloading, content switching, and compression, along with its flexible deployment options and excellent support. Reviewers experienced challenges with the initial setup, found the user interface outdated and less intuitive, had difficulties with log management, and expressed a need for better geo-fencing capabilities and a more modern and intuitive UI/UX.
48,885 Twitter followers
Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. It can handle the varying load of you
2,220,162 Twitter followers
NGINX Ingress Controller provides Kubernetes traffic management with API gateway, identity, and observability features. NGINX Ingress Controller provides a feature set to secure, strengthen, and scal
1,390 Twitter followers
Azure Traffic Manager is a cloud-based load balancing service that allows you to control the distribution of user traffic for service endpoints in different datacenters.
13,088,482 Twitter followers
High performance, scalable load balancing on Google Cloud Platform
31,775,247 Twitter followers
Azion is the web platform that enables businesses to build, secure, and scale modern applications on a fully managed global infrastructure, with a robust suite of solutions for Application Development
Azion is a content and security acceleration tool that provides edge computing and digital security solutions. Users like Azion's robust protection for web applications, its responsive support team, and its reliable and efficient platform that offers great autonomy to developers. Users experienced a lack of features for integration with Web3, NFTs, and related voice, face, and crypto market services, and some found the administration console not user-friendly.
Azure Load Balancer is a cloud-based service designed to distribute incoming network traffic across multiple virtual machines (VMs) or virtual machine scale sets (VMSS), ensuring high availability and
13,088,482 Twitter followers
FortiAppSec Cloud - the next evolution of FortiWeb Cloud - simplifies and strengthens web application security and delivery across your cloud environments. This SaaS platform secures network availabil
FortiAppSec Cloud is a security solution used to protect and monitor web applications and APIs, detect vulnerabilities, manage security policies, and maintain visibility into potential threats in cloud environments. Reviewers like the AI-driven threat detection, ease of deployment, centralized dashboard, and the ability to integrate with other Fortinet products, which they say simplifies management and improves security posture and operational efficiency. Users mentioned that the initial setup and configuration can be complex, particularly for advanced policies, the user interface is not as intuitive as they would like, and the reporting features lack flexibility and customization options.
151,520 Twitter followers
Azure Application Gateway is a web traffic load balancer that enables you to manage traffic to your web applications. Unlike traditional load balancers that operate at the transport layer (Layer 4), A
13,088,482 Twitter followers
NGINX Plus is the all-in-one load balancer, reverse proxy, web server, content cache, and API gateway.
1,390 Twitter followers
An application security platform (ASP) designed by IT users angry and frustrated with the time-to-manage complex legacy application delivery and WAF products. TR7's friendly design, dynamic flow-panel
TR7 is a product that delivers load balancing and waf capabilities, addressing both performance and security needs, and provides L7 ddos protection. Users frequently mention the product's user-friendly interface, fast performance, and the exceptional responsiveness and helpfulness of the support team. Reviewers mentioned minor bugs in the user interface and the lack of built-in documentation or self-service learning resources for new administrators.
Fortinet Application Delivery Controller (ADC) appliances optimize the availability, user experience, and scalability of enterprise application delivery.
151,520 Twitter followers
Learn More About Load Balancing Software
What is load balancing software?
Load balancing software is designed to allow websites and applications to run, unfaltering, through hundreds, thousands, and even millions of simultaneous connections. By considering numerous rules, methods, and conditions, load balancing solutions work to ensure no servers within a server cluster or server pool become overloaded.
Traffic makes load balancing necessary. As servers experience higher traffic, response times can begin to slow down, resulting in a worse end-user experience. Also, continuous strain on servers can cause permanent hardware damage, meaning downtime might lead to hardware repair or replacement costs (in addition to other downtime-related revenue losses). Load balancing helps to mitigate the likelihood of these issues, acting as a gatekeeper for incoming server connection requests to ensure no single server or server pool gets overloaded.
Server failures can still happen even with load balancing in place, so most solutions will either offer backup solutions in conjunction with load balancing or they’ll be designed to integrate with backup solutions seamlessly. This is an extra layer of protection for companies’ server stacks and data.
How does load balancing software work?
Load balancing software works by distributing incoming network traffic across multiple servers. At its core, a load balancer acts as a reverse proxy, directing client requests to backend servers based on different algorithms. These algorithms can include:
- Round-robin, which distributes requests sequentially
- Least connections, which sends requests to servers with the fewest active connections
- IP hash, which directs traffic based on the client’s IP address
When a client request arrives, the load balancer determines which server can handle the request based on real-time analysis and predefined criteria. Load balancing software continuously monitors server health using heartbeat checks or application-layer health probes to ensure that traffic is directed only to operational servers. If a server fails or becomes overloaded, the load balancer reroutes traffic to other servers in the pool without disrupting the user experience.
Modern load balancer software operate at various levels of the OSI model, with Layer 4 solutions dealing with TCP/UDP traffic and Layer 7 solutions managing data based on application-layer information, allowing for more complex routing decisions based on content of requests. These capabilities enable load balancing software to effectively manage traffic, improve application scalability, and improve system resilience.
What are the types of load balancers?
Hardware load balancers are dedicated physical devices that manage traffic at a high performance level. Known for their reliability and speed, they feature proprietary hardware to handle large volumes of traffic. They are commonly used in environments where speed and security are important, such as in large data centers.
Software load balancers are software applications that are installed on standard servers. These load balancers offer flexibility and scalability, as users can modify, update, or deploy them across various environments. They are cost-effective and used in cloud-based architectures that require dynamic resourcer allocation.
Virtual load balancers act as virtual machines that can be deployed on any server infrastructure. They combine the flexibility of software load balancers with the capacity to handle large traffic volumes like hardware solutions. These are ideal for virtualized data centers and cloud environments.
Cloud-based load balancers are services provided by cloud providers (like AWS Elastic Load Balancing, Google Cloud Load Balancing, or Azure Load Balancer) that distribute network and application traffic across cloud resources. They are suitable for businesses with fluctuating web traffic.
Global server load balancers (GSLB) operate at the DNS level and direct traffic based on server location and user proximity to optimize user experience. Organizations use them to balance loads across multiple geographic locations and ensure efficient location-based traffic management.
Layer 4 load balancers balance traffic at the transport layer (TCP/UDP) and make decisions based on data from network and transport layers without inspecting packet contents. They are suitable for basic balancing of non-HTTP traffic.
Layer 7 load balancers operate at the application layer and make more sophisticated decisions by inspecting packet content. As a result, they allow actions based on HTTP headers, cookies, and application data. Companies use these load balancers for advanced traffic regulation and content-sensitive tasks.
What are load balancing algorithms?
Load balancing methods focus less on specific types of software and more on specific ways to distribute traffic. The typical load distribution methods are as follows.
Random assignment
As the name suggests, a random assignment takes an incoming connection and assigns it from the client side to a server from the server pool. This distribution relies on the mathematical law of large numbers, which implies that when a large enough volume randomly assigns values among a set, the distribution of that volume will be about equivalent.
Round robin
In this method, every server in the server pool has its own IP address but each is uniquely linked to a master IP address for server calls. When a server call is made, that call is assigned through the master IP address to a unique server in order, yielding the "round robin" name.
Source IP hash
IP hashing relies on the IP address from the incoming request to determine which server handles the connection. Server assignment depends on the number of servers available and rules surrounding the hash key that is generated by the IP hashing software.
Least connection
The least connection method of load balancing takes into account the number of connections to each server as opposed to the active server workload. Incoming connections to the server pool are assigned automatically to the server with the least number of active connections.
Examples of load balancing
- Website traffic management: Large-scale e-commerce platforms use load balancer software to manage user requests during peak shopping events like Black Friday. Load balancers distribute incoming HTTP requests across multiple web servers, ensuring fast page load times and reliability.
- Cloud computing services: Cloud service providers such as AWS, Google Cloud, and Microsoft Azure employ load balancing solutions to optimize resource usage across server farms. This enables them to provide scalable and reliable cloud services, automatically adjusting the distribution of traffic as demand fluctuates.
- Content delivery networks (CDNs): These companies use load balancing as part of their CDN infrastructure to deliver web content to users from the closest geographical locations. This reduces latency and speeds up the user experience by dynamically routing requests to the nearest or least-congested server.
- Enterprise application deployments: Large organizations deploy load balancers within private data centers to manage traffic for enterprise applications such as CRM systems or internal portals.
- Internet of Things (IoT) networks: Smart city projects or large-scale IoT deployments use load balancers to manage data streams from a multitude of devices, directing traffic efficiently to data processing centers that analyze and act on the gathered data.
- Financial services: Banks and financial institutions use load balancing to handle complex transaction processing systems that require high availability and quick response times. By distributing loads across multiple systems, they maintain service continuity and adhere to stringent timing requirements for transaction processing.
- Gaming servers: Online gaming platforms depend on load balancing to manage gaming sessions and provide seamless multiplayer experiences. Load balancers direct player connections to the least busy servers, optimizing gameplay performance and reducing lag.
What are the common features of load balancing solutions?
The following are some core features within load balancing software that can help users with cost savings, reduced downtime, and increased performance of workloads:
- Request distribution: Load balancing software uses one or more distribution methods to equally allocate connection requests among several servers.
- Scaling: The software adapts the number of servers being used for load distribution based on the amount of incoming traffic.
- Distributed denial of service (DDoS) protection: Load balancing software offers security settings to help prevent DDoS attacks on a company’s servers.
- Asymmetric load distribution: This feature allows companies to manually denote some servers to take a lesser share of the load. This is beneficial if a company is using older servers alongside newer ones or if the overall health of some servers is not as great as that of others.
- Server health monitoring: The server health monitoring feature runs periodic checks on application servers to verify the overall functionality of each. This helps make sure that well-functioning servers take the brunt of traffic if need be.
- SSL offloading: This feature allows load balancers to handle SSL encryption/decryption, reducing the processing burden on application servers. By managing secure connections independently, SSL offloading enhances performance and security.
- Content caching: By storing frequently requested data closer to users and reducing the need for repeated requests to backend servers, content caching improves response times and reduces load on application servers.
- Advanced analytics and reporting: Load balancers provide detailed insights into traffic patterns, server health, and user behaviors, which support informed decision-making for performance optimization and capacity planning.
What are the benefits of load balancing?
Load balancing is used by organizations of all sizes to enable and maintain access to applications and provide an improved end-user experience. Some of the core benefits offered by load balancing solutions include scalability, efficiency, and reliability.
- Smooth functionality: This is the reason load balancing software exists. By equally distributing server load over several members of the server pool, load balancing solutions create smoother functionality in server access, webpage loading, and application interactions.
- Dynamics: Load balancing software is built for handling dynamic needs. During low traffic time, connections are handled only by the servers that are absolutely necessary to have online. When there is an influx of high traffic, the software helps bring servers online to handle the stress and equally distribute the incoming connections so that end-user experiences are all fluid and without disruption.
- Disaster recovery: In the event of a server failure or data center outage, load balancers can redirect traffic to alternative locations, aiding in disaster recovery efforts. This capability improves business continuity and operational stability.
- Global traffic management: Businesses operating across multiple geographic locations use load balancers to distribute traffic globally, reducing latency for users by connecting them to the nearest available server.
- End-user satisfaction: Nothing drives end users away from a website or application quite like having a bad user experience. Slow loading, slow responses, and page failures can dissuade users from returning and make the company’s employees reluctant to use their own infrastructure. Load balancing solutions help smooth the overall user experience, preventing these frustrations.
- Cost effectiveness: These solutions are more affordable and at the same time easier to provision when compared to hardware solutions. One can save money on the setup and maintenance costs by deploying a load balancer.
- Scalability: Software-based load balancing solutions allow servers to scale up and down on demand. In addition to this, they can be quickly put into the existing infrastructure without disturbing an application’s accessibility.
Who uses load balancing software?
Server administrators and IT teams: Load balancing software is used mainly by server administrators and IT teams that get involved with server traffic handling. Since the software is specifically focused on mitigating server traffic, load balancing solutions don’t have much use outside these teams.
Disadvantages of load balancing
Software solutions can come with their own set of challenges.
- Asymmetric balancing: Certain methods of load balancing can lead to an unequal distribution of traffic. IP hashing, for example, can strain certain servers over others because of the call sources for connection requests. Round robin might create undue strain on certain servers due to average connection resource consumption being higher on some servers in the list than others. Each method has the possibility of presenting with an occasional unbalancing.
- Single point of failure: While load balancers are designed to enhance reliability, they themselves can become a single point of failure if not properly architected with redundancy. If a load balancer fails without a backup in place, it can lead to system downtime and service disruption.
- Latency overhead: Introducing a load balancer into the network path can add some latency to requests, as traffic must pass through an additional layer before reaching its intended destination. This may slightly degrade performance depending on the complexity of the load balancing rules and the processing power of the balancer itself.
- Dependency on network design: Load balancing effectiveness is heavily reliant on the underlying network design. Poor network architecture can diminish the benefits of load balancing, resulting in bottlenecks or uneven traffic distribution that could negate performance gains.
- Incompatibility with certain protocols: Some load balancers may not work well with specific protocols, particularly older or proprietary protocols, which can limit the versatility of load balancing solutions in specific use cases.
How to choose the best load balancing software for your business?
Requirements Gathering (RFI/RFP) for Load Balancing Software
If a company is just starting out and looking to purchase the first load balancing solution, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best load balancing software for the business.
The particular business pain points might be related to managing traffic spikes and preventing spikes on a single server. Administrators route network traffic to different servers with the help of these solutions. If the company has a lot of servers in place and huge traffic, the need is to look for a solution that can help look at the servers and determine which server to send the request to. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy.
Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget, number of users, integrations, security requirements, cloud or on-premises solutions, and more.
Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a load balancing software.
Compare Load Balancing Software Products
Create a long list
From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.
Create a short list
From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.
Conduct demos
To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.
Selection of Load Balancing Software
Choose a selection team
Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities.
Negotiation
Just because something is written on a company’s pricing page, does not mean it is final (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.
Final decision
After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.
Load balancing software trends
While the idea of load balancing itself is unlikely to change, the methods in which it is accomplished are far more likely to evolve.
Artificial intelligence (AI) and machine learning
As AI and machine learning software advance, they can become increasingly valuable in assisting companies manage incoming loads. By analyzing past and active data, these tools can bolster load balancing by helping to intelligently manage traffic across servers.
