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Version: 3.0.x

Notes on Kubernetes Deployment

Deploying BifroMQ on Kubernetes requires careful consideration of its stateful service characteristics and understanding of Kubernetes-specific cluster operations and maintenance practices. Here are some key considerations and guidelines.

Stateful Service Considerations​

BifroMQ includes a built-in distributed storage engine, and users choosing to run BifroMQ in Kubernetes should carefully plan for:

  • Persistent Volume
  • StatefulSets
  • Headless Services

Deployment Complexity​

Running BifroMQ on Kubernetes involves complexities including:

  • Networking: Choosing the appropriate network policies and Ingress Controller to manage communication between internal and external clients to the cluster.
  • Configuration Management: Using ConfigMaps or Secrets to manage BifroMQ configurations in a dynamic and scalable manner.
  • Resource Limits and Requests: Defining appropriate CPU and memory limits and requests to ensure BifroMQ has sufficient resources for optimal performance without starving other applications.

Cluster Operations and Maintenance​

Successful deployment of BifroMQ on Kubernetes requires a deep understanding of:

  • Cluster Monitoring and Logging: Implementing comprehensive monitoring and logging to quickly identify and resolve issues.
  • Scalability: Understanding how to scale BifroMQ appropriately in Kubernetes to handle varying loads without impacting performance.

BifroMQ Team Support​

Deploying BifroMQ on Kubernetes introduces additional complexity, and the BifroMQ team offers professional consulting services to help users achieve optimal deployment outcomes.