Load Balancer Traffic Distribution Strategies
Load balancers split up incoming requests across multiple backend servers or instances through different traffic distribution techniques. These strategies support high availability, better application performance, and optimizing resources. These are the few strategies to load distribution on load balancer in Kubernetes.
- Round Robin: Consider of this is the way of giving back. The load balancer directs each new request to a separate server in an ordered to fashionate so that everyone gets the same opportunity. It is fair and simple to use, but it does not account for how busy each machine is in round robin rule.
- Least Connections: Think about yourself join the short line at a checkout. Ensure that the demand is distributed fairly and that no server becomes overwhelmed, the load balancer routes requests to the server with the fewest active connections.
- IP Hashing: Think about get a unique stamp whereas enter a theme park. The load balancer guarantees this, for services such as online shopping in the carts, your session remains connected to the same place through your unique IP address, send you to the same server each time.
- Least Response Time: It is like pick the lane with a small amount of traffic. The load balancer forwards requests to the fastest-respond the server in order to offer users with the best possible customer experience.
- Weighted Round Robin: This is like allocate the different speeds to various lanes on an expressway. The load balancer assigns a “weight” based on capacity to each server to help it handle increase the stress. More traffic goes towards the servers which have more capability.
- Layer 7 Routing: Consider of this as a smart traffic cop that is aware of our route direction. The load balancer scans every request for content, including the URL and data type, and then directs it to the server that best meets the needs of the application.
- Geographic Routing: Think about using a GPS to locate the nearest gas station. The load balancer minimizes the distance data must travel, enhancing efficiency for users worldwide by routing users to the closest server based on their location.
Kubernetes – Load Balancing Service
Before learning Kubernetes (or K8S in Short), you should have some knowledge of Docker and Containers. Docker is a tool that helps the developer create containers in which applications can run in an isolated environment. Containers are just an abstraction for the applications inside. Docker also provides some facilities for these containers to talk to each other, store data on the host machine, and much more. Similarly, Kubernetes is used to control these containers and enhance their availability as well as functionality. Docker has containers, but Kubernetes has Containers, Pods, and then Nodes. Nodes contain pods, and pods have containers. Kubernetes ensures more isolation of the container.