Load balancing is a crucial component of system design, especially for ensuring that applications can handle high traffic and remain available and responsive. Let's break it down step by step.
What is a Load Balancer?
Load balancing is the process of distributing network or application traffic across multiple servers. The main goal of the load balancer is to ensure that no single server becomes overloaded which can lead to slow performance or even crashes. By spreading the load you can improve the availability, reliability and performance of the system.
Generally load balancer comes between the client and the server accepting incoming network or application traffic and distributing the traffic across multiple servers using various algorithms.
Key Characteristics of Load Balancer:
Traffic Distribution: Load balancers evenly distribute incoming requests among multiple servers, preventing any single server from being overloaded.
High Availability: By distributing traffic across multiple servers, load balancers enhance the availability and reliability of applications. If one server fails, the load balancer redirects traffic to other servers.
Scalability: Load balancers facilitate horizontal scaling by easily accommodating new servers or resources to handle increasing traffic demands.
Optimization: Load balancers optimize resource utilization, ensuring efficient use of server capacity and preventing bottlenecks.
Health Monitoring: Periodic tests performed by the load balancer to determine the availability and performance of servers. Unhealthy servers are removed from the server pool until they recover.
Session Persistence: A technique used to ensure that requests from the same client are directed to the same server, maintaining the session state and providing a consistent user experience.
SSL Termination: Some load balancers can handle SSL/TLS encryption and decryption, which helps in offloading the decryption burden from servers.
How Load Balancer works?
Here are the general steps that a load balancer follows to distribute traffic:
The load balancer receives a request from a client or user.
The load balancer evaluates the incoming request and determines which server should handle the request. It is done using by load-balancing algorithm that measures server capacity, server response time, number of active connections, and geographic location.
The load balancer forwards the incoming traffic to the selected server.
The server processes the request and sends a response back to the load balancer.
The load balancer receives the response from the server and sends it to the client who made the request.
Load Balancer Types (Based on Deployment):
1. Software Load Balancer:
Software load balancers are applications that run on general-purpose servers or virtual machines. They use software algorithms to distribute incoming traffic among multiple servers or resources.
Real World Example - A startup with a growing user base deploys a software load balancer on a cloud-based virtual machine.
Examples:
- HAProxy
- NGINX
- Apache Traffic Server
Pros:
Generally more affordable than hardware load balancers.
Can be easily scaled by adding more resources or upgrading the underlying hardware.
Provides flexibility, as they can be deployed on a variety of platforms.
Cons:
May have lower performance compared to hardware load balancers.
May require ongoing software updates and maintenance.
2. Hardware Load Balancer:
Hardware load balancers are physical devices designed specifically for load balancing tasks. They use specialized hardware components, such as Application-Specific Integrated Circuits (ASICs) or Field-Programmable Gate Arrays (FPGAs), to efficiently distribute network traffic.
Real world Example - Online retailers with high traffic volumes can use hardware load balancers to ensure their websites remain responsive and available, even during peak shopping times.
Examples:
- F5 BIG-IP
- Citrix ADC (formerly NetScaler)
Pros:
High performance and throughput, as they are optimized for load balancing tasks.
Often include built-in features for network security, monitoring, and management.
Can handle large volumes of traffic and multiple protocols.
Cons:
Can be expensive, especially for high-performance models.
May require specialized knowledge to configure and maintain.
Limited scalability, as adding capacity may require purchasing additional hardware.
3. Virtual Load Balancer:
virtual load balancer is a software-based solution that performs the same functions as a traditional hardware load balancer but runs on virtualized environments or cloud infrastructure.
Examples:
- F5 BIG-IP Virtual Edition
- VMware NSX Advanced Load Balancer.
Pros:
No need to purchase expensive hardware.
Can quickly scale up or down based on traffic demands.
Can be set up in multiple locations to ensure high availability and disaster recovery.
Easier to manage and monitor through centralized dashboards.
Cons:
May require specialized knowledge to set up and maintain.
Performance is dependent on the reliability and speed of the network.
Performance can be affected by the underlying virtual machine or cloud infrastructure.
4. Cloud Based Load Balancer:
Cloud-based load balancers are load balancing services provided by cloud providers. These services are designed to distribute incoming network traffic across multiple servers or instances to ensure high availability, reliability, and scalability of applications hosted in the cloud.
Examples:
- AWS Elastic Load Balancing (ELB)
- Azure Load Balancer
- Google Cloud Load Balancing.
Pros:
Cloud load balancers can automatically scale to handle increased traffic, ensuring that applications remain responsive under varying loads.
Cloud providers handle the maintenance, updates, and scaling of the load balancer, freeing up your team to focus on other tasks.
Cons:
While pay-as-you-go pricing can be cost-effective, it can also lead to unpredictable costs, especially during traffic spikes.
If the cloud provider experiences an outage, your load balancing service could be affected.
There are also some other type of load balancer based on uses and functionality.
Conclusion:
The type of load balancer you choose depends on your specific requirements, such as the type of traffic, deployment environment, and desired features. Each type has its own advantages and is suited for different scenarios.