Use cases
Below you can review common use cases for the broker load balancer.
Spread workloads for scaling​
The broker load balancer routes incoming data processing requests to available brokers for stable performance, making it ideal for quick horizontal scaling — whether in response to sudden traffic spikes or deliberate business expansions. In this case, you can run high-traffic applications with a lot of concurrent data requests in a fast and reliable manner.
High availability with fault tolerance​
The broker load balancer can increase cluster availability by re-routing data loads to other available brokers if a broker fails. This failover mechanism ensures the availability of the whole system.
Related topics​
To get a comprehensive understanding and discover the key insights, see Broker load balancing | Overview.
To explore functionalities, see Broker load balancing | Features.
To understand advantages, see Broker load balancing | Benefits.
To learn essential fundamentals, see Broker load balancing | Concepts.
To review various versions of broker load balancers, see Broker load balancing | Types.
To get up quickly, see Broker load balancing | Quick start.
To migrate one broker load balancer type to another, see Broker load balancing | Migration.