
What is load balancing and how does it work?
- Static load balancing algorithms
- distribute workloads to servers based on a predefined set of rules. These algorithms are quick to deploy but can come with inefficiencies.
- Dynamic load balancing algorithms
- take several factors into account before assigning workloads to servers. This includes overall server health and the unique capacity requirements for individual tasks. Since dynamic algorithms are more methodical, they tend to be more efficient, but also more difficult to configure.
- Layer four (L4): Load balancers make routing decisions based on data sourced from network and transport layer protocols. In other words, they work on the transport level, looking at the destination IP address for each packet—or “chunk” of data—then sending it to its intended location.
- Layer seven (L7): Load balancers work on the application level, offering a more computationally intensive method for distributing network traffic. Before sending requests to servers, the L7 load balancer pulls data from a packet—such as HTTPS headers and cookies—to gain a better understanding of the client request. This allows for a more structured routing of traffic across networks.
A brief history of load balancing

Hardware vs. software-based load balancing
- Hardware appliances typically come with a large fixed cost, while software requires ongoing costs for upgrades. Though, you may need to pay a team of experts to configure and maintain the appliance for you.
- A software load balancer offers better scalability, as you can add more software instances to the cloud as you need them, without having to purchase and maintain additional servers.
- A hardware load balancer may offer greater security since only the organization has access to the physical servers.
Signs of a good load balancer
Session persistance
Dynamic configuration
Load balancing algorithms
- Round Robin: This algorithm is based on a rotating list of servers. Workloads are assigned sequentially. So when a server takes on a request, the next request will go to the next server in line, regardless of how big or small the task is. The problem with this method is that it can cause one server to take on significantly more work than the others, potentially leading to an overload.
- Least Connection: Unlike the Round Robin, this algorithm sends requests to whichever server has the lowest number of active connections, or the smallest workload.
- Least Time: A slightly more sophisticated approach, the Least Time algorithm sends requests to whichever server has both the fewest active connections and the fastest response time.
- Hash: With this method, requests are routed based on key data inside the packet, such as domain name, IP address, and port number.
- Random with Two Choices: Used in conjunction with the Least Connections method, this algorithm picks two random servers, then sends the request to whichever one has the fewest number of connections.

Benefits of load balancing
- Efficiency: By streamlining the process of distributing incoming network traffic, you can spend more time and resources on building the ideal customer experience.
- Predictive analytics: Modern load balancers can predict increases in network traffic before they occur. This allows you to avoid bottlenecks and system overloads that could compromise your site’s performance.
- Security: In addition to regular user traffic, load balancers can optimally reroute hacker traffic as well. Cyberattacks, like a distributed denial of service (DDoS), can be offloaded from corporate to public servers, protecting the sensitive data of your business and its customers. Also, load balancers can encrypt all HTTPS data so it’s not vulnerable to hackers while traversing the network.
- Scalability: As discussed, proper load balancing allows your business to cost-effectively scale up as demand increases. Dynamic load balancers can intuitively add new servers to your network when traffic spikes. Without the looming threat of poor responsiveness or site outages, you can comfortably implement new apps, service more customers, and grow your business.

Prepare for peak sales season by investing in load balancing
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