How KubeMQ customers build scalable messaging platforms with Kubernetes Operators
This article published on Red Hat marketplace explains how KubeMQ customers build scalable messaging platforms with Kubernetes Operators.
Higlights from the article:
“What exactly are Operators, and how do they help manage these stateful applications? Let’s take a look at Operators in detail, how they work within Kubernetes, and how the KubeMQ messaging platform uses Operators to help you build complex and scalable messaging services with minimal coding and overhead."
“This allows for better performance, scalability, and resilience. One key to success with this approach is utilizing Operators as the deployment and management tool for KubeMQ. The Operator deploys the clusters and ensures that the various KubeMQ bridges, sources, and targets are configured correctly for each cluster. This extends to how KubeMQ was written utilizing Go. This makes KubeMQ fast and helps hook KubeMQ into native Kubernetes data models, events, and APIs, making it less complicated to manage the state of the clusters. It also allows for easier configuration validation."
“Deploying as an operator also helps KubeMQ keep overhead to a minimum. For example, a large financial company with high volumes of real-time messages for price quotes, transactions, and client funding leverages KubeMQ to decrease the number of servers previously required to fulfill their needs."
“The KubeMQ Operator also helps track state—a key reason for leveraging KubeMQ for reliable cross/hybrid cloud deployments. First, this state can validate that the desired capacity and configuration are in place for each cluster. Comparing the desired state in the CR against the existing state in Kubernetes allows the Operator to ensure that failures are caught and addressed, capacity is added as required, and the various bridges, sources, and targets are configured"