Hi I would like to seek your insights and recommendations regarding the practice of workload separation in a Ceph RGW (RADOS Gateway) cluster. I have been facing challenges with large queues in my deployment and would appreciate your expertise in determining whether workload separation is a recommended approach or not. In my current Ceph cluster, I have 20 RGW instances. Client requests are directed to RGW1-16, while RGW17-20 are dedicated to administrative tasks and backend usage. However, I have been encountering errors and congestion issues due to the accumulation of large queues within the RGW instances. Considering the above scenario, I would like to inquire about your opinions on workload separation as a potential solution. Specifically, I am interested in knowing whether workload separation is recommended in a Ceph RGW cluster. To address the queue congestion and improve performance, my proposed solution includes separating the RGW instances based on their specific purposes. This entails allocating dedicated instances for client requests, backend usage, administrative tasks, metadata synchronization with other zone groups, garbage collection (GC), and lifecycle (LC) operations. I kindly request your feedback and insights on the following points: 1. Is workload separation considered a recommended practice in Ceph RGW deployments? 2. What are the potential benefits and drawbacks of workload separation in terms of performance, resource utilization, and manageability? 3. Are there any specific considerations or best practices to keep in mind while implementing workload separation in a Ceph RGW cluster? 4. Can you share your experiences or any references/documentation that highlight successful implementations of workload separation in Ceph RGW deployments? I truly value your expertise and appreciate your time and effort in providing guidance on this matter. Your insights will contribute significantly to optimizing the performance and stability of my Ceph RGW cluster.