Kubernetes event-driven autoscaling (KEDA) allows microservices to be scaled up and down on demand as a system changes. As event consumers are dynamically scaled in response to demand, the events that feed the microservices need to support the changes by maintaining context and ensuring that they arrive in order and to the right consumers.
Partitioned queues solve this problem. Join Rob Tomkins, Principal Product Manager at Solace, as he explains how they work to help enterprise architects and developers deliver on today's modern application demands.
