Dynamic Scaling
Container load balancing is often used in conjunction with container orchestration systems, such as Kubernetes or Docker Swarm, which can dynamically scale the number of containers based on traffic load. When traffic increases, these systems can automatically spin up new containers and add them to the load balancer pool to handle the additional load.
What is Container Load Balancing?
Container load balancing refers to the process of distributing incoming network traffic across a group of containers running the same application. This is done to ensure that the containers can handle the traffic efficiently and effectively, providing high availability, scalability, and performance for the application.
Containers are lightweight, standalone, and executable packages that contain everything needed to run an application, including the code, runtime, libraries, and dependencies.
- Container load balancing is typically done using a load balancer that sits in front of the containers and routes traffic to them based on a set of predefined rules.
- The load balancer can distribute traffic evenly across the containers or use more advanced algorithms to optimize the distribution based on factors such as server load, response time, and geographic location.