Ceph Cluster Configuration

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  1. Ceph Cluster Configuration

This document details a high-performance Ceph cluster configuration designed for demanding storage workloads. It covers hardware specifications, performance characteristics, recommended use cases, comparisons with similar configurations, and maintenance considerations. This configuration is aimed at experienced system administrators and engineers familiar with Ceph and server hardware.

1. Hardware Specifications

This Ceph cluster is built around a 16-node architecture, each node acting as a Ceph Object Storage Device (OSD). The cluster is designed for high capacity, high throughput, and robust data protection.

Node Configuration:

Node Hardware Specifications
Component Specification Detail
CPU Dual Intel Xeon Platinum 8380 40 Cores/80 Threads per CPU, 2.3 GHz Base Frequency, 3.4 GHz Turbo Frequency
RAM 512 GB DDR4 ECC Registered 3200 MHz, 16 x 32 GB DIMMs per node. Memory Allocation Best Practices are followed to ensure sufficient buffer cache.
Motherboard Supermicro X12DPG-QT6 Dual Socket LGA 4189, Supports up to 8TB DDR4 ECC Registered Memory
Network Interface Card (NIC) Mellanox ConnectX-6 Dx 200 Gbps Dual Port, RDMA capable. Networking in Ceph is critical for performance.
Storage Controller Broadcom MegaRAID SAS 9460-8i 8 Ports, SAS3, 16 Gb/s, Hardware RAID support (HBA mode configured for Ceph)
Storage Devices (OSD) 16 x 48TB SAS 12Gbps 7.2K RPM HDD Seagate Exos X18, 512e format. Choosing the Right Storage Media is a key consideration.
Boot Drive 1 x 480GB SATA SSD Samsung 870 EVO. Used for the operating system and Ceph tooling.
Power Supply 2 x 1600W Platinum PSU Redundant Power Supplies for high availability. Power Redundancy in Data Centers is essential.
Chassis Supermicro 4U Rackmount Chassis Supports double-width GPUs (not utilized in this configuration, but allows for future expansion for object storage acceleration).
Operating System Ubuntu Server 22.04 LTS Optimized kernel for Ceph performance. OS Selection for Ceph impacts overall stability.

Cluster Interconnect:

The cluster uses a dedicated 200 Gbps InfiniBand network for OSD-to-OSD communication. This minimizes latency and maximizes throughput. A separate 100 Gbps Ethernet network is used for client access. Network Topology Considerations are vital for Ceph's performance.

Monitor and Manager Nodes:

Three dedicated nodes are used for Ceph Monitors and Managers. These nodes have similar hardware specifications to the OSD nodes, but with smaller storage capacity (2 x 1TB NVMe SSDs). Ceph Monitor and Manager Roles are crucial for cluster health.

2. Performance Characteristics

This configuration has been rigorously benchmarked using a variety of workloads.

Benchmark Results:

Performance Benchmarks
Metric Result Workload
Sequential Read Throughput 45 GB/s Single Client, Large File (100GB)
Sequential Write Throughput 40 GB/s Single Client, Large File (100GB)
Random Read IOPS 500,000 IOPS Single Client, 4KB Blocks
Random Write IOPS 400,000 IOPS Single Client, 4KB Blocks
RADOS Latency (P99) < 1 ms Small Object Read/Write
CephFS Throughput 20 GB/s Multiple Clients, Mixed Workload
RBD IOPS 150,000 IOPS Virtual Machine Disk Access

Real-World Performance:

  • **Large File Storage (Media Server):** The cluster can reliably stream multiple 4K video streams concurrently without performance degradation.
  • **Virtual Machine Storage (RBD):** Supports a high density of virtual machines with consistent I/O performance. RBD Performance Tuning is critical for VM workloads.
  • **Object Storage (RGW):** Provides scalable and durable object storage for applications requiring high availability. RGW Scaling and Performance is important for object storage.
  • **CephFS (Shared Filesystem):** Suitable for collaborative workloads requiring a high-performance shared filesystem. CephFS Client Configuration optimizes file system access.

These results were obtained with a Ceph configuration utilizing the default crush map and replication level of 3. Performance can be further tuned by adjusting these parameters. CRUSH Map Optimization significantly impacts data distribution and performance.

3. Recommended Use Cases

This Ceph cluster configuration is ideal for the following use cases:

  • **Large-Scale Cloud Storage:** Providing object storage for cloud environments.
  • **Virtual Machine Storage:** Serving as the backend storage for virtualization platforms like OpenStack and Proxmox.
  • **Big Data Analytics:** Storing and processing large datasets for analytics applications.
  • **Media Storage & Delivery:** Storing and streaming high-resolution media content.
  • **Archival Storage:** Providing long-term, cost-effective storage for archival data.
  • **Database Backups:** Storing large database backups with high availability and durability. Ceph as a Backup Target provides detailed information.
  • **High-Performance Computing (HPC):** Providing a parallel filesystem for HPC workloads.



4. Comparison with Similar Configurations

This configuration can be compared to other common Ceph cluster setups.

Comparison Table:

Ceph Cluster Configuration Comparison
Configuration CPU RAM Storage per Node Network Cost (Estimated) Use Cases
**This Configuration (High-Performance)** Dual Intel Xeon Platinum 8380 512 GB 48 TB 200 Gbps InfiniBand / 100 Gbps Ethernet $30,000/node Large-Scale Cloud, Virtualization, Big Data
**Mid-Range Configuration** Dual Intel Xeon Silver 4310 256 GB 30 TB 100 Gbps Ethernet $15,000/node Medium-Scale Cloud, Virtualization, General Purpose
**Entry-Level Configuration** Dual Intel Xeon E-2336 128 GB 16 TB 25 Gbps Ethernet $8,000/node Small-Scale Cloud, Development, Testing
**All-Flash Configuration** Dual Intel Xeon Platinum 8380 256 GB 96 x 480GB NVMe SSDs 200 Gbps InfiniBand / 100 Gbps Ethernet $50,000+/node High-Performance Applications, Databases, Low-Latency Workloads

Key Differences:

  • **Network:** The use of 200 Gbps InfiniBand in this configuration provides significantly higher throughput and lower latency compared to Ethernet-based setups.
  • **RAM:** 512 GB of RAM allows for a larger cache, improving performance for read-heavy workloads.
  • **Storage Capacity:** 48 TB per node provides a large amount of storage capacity for demanding applications.
  • **CPU:** The Xeon Platinum processors offer higher core counts and clock speeds for improved performance.
  • **Cost:** This configuration is more expensive than mid-range or entry-level setups due to the high-performance components. Cost Optimization Strategies for Ceph can help reduce expenses.

Compared to an all-flash configuration, this setup provides a better cost-per-TB ratio, although it sacrifices some performance. HDD vs. SSD in Ceph details the tradeoffs.

5. Maintenance Considerations

Maintaining a Ceph cluster requires careful planning and execution.

Cooling:

  • The cluster generates a significant amount of heat. Adequate cooling is essential to prevent hardware failures. A dedicated data center cooling system with sufficient capacity is required. Data Center Cooling Best Practices should be followed.
  • Rack-level cooling solutions may be necessary for high-density deployments.

Power Requirements:

  • Each node requires approximately 1200W of power. Ensure that the data center has sufficient power capacity and redundancy.
  • Redundant power supplies are crucial to minimize downtime in the event of a power failure. UPS Systems for Data Centers provide additional protection.

Software Updates:

  • Regularly update the Ceph software to benefit from bug fixes, performance improvements, and new features. Ceph Upgrade Procedures must be followed carefully.
  • Automated update tools can streamline the update process.

Hardware Monitoring:

  • Implement a comprehensive hardware monitoring system to track CPU temperature, RAM usage, disk health, and network performance. Monitoring Tools for Ceph are essential.
  • Proactive monitoring can help identify and resolve potential issues before they impact the cluster.

Disk Management:

  • Regularly check the health of the storage devices and replace failing drives promptly. Disk Failure Handling in Ceph is a critical process.
  • Implement a disk scrubbing schedule to detect and correct data inconsistencies.

Networking:

  • Monitor network performance and troubleshoot any connectivity issues.
  • Ensure that the network infrastructure is reliable and has sufficient bandwidth.



General Best Practices:

  • Implement a robust backup and disaster recovery plan. Disaster Recovery Planning for Ceph
  • Document the cluster configuration and maintenance procedures.
  • Train staff on Ceph administration and troubleshooting.

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Intel-Based Server Configurations

Configuration Specifications Benchmark
Core i7-6700K/7700 Server 64 GB DDR4, NVMe SSD 2 x 512 GB CPU Benchmark: 8046
Core i7-8700 Server 64 GB DDR4, NVMe SSD 2x1 TB CPU Benchmark: 13124
Core i9-9900K Server 128 GB DDR4, NVMe SSD 2 x 1 TB CPU Benchmark: 49969
Core i9-13900 Server (64GB) 64 GB RAM, 2x2 TB NVMe SSD
Core i9-13900 Server (128GB) 128 GB RAM, 2x2 TB NVMe SSD
Core i5-13500 Server (64GB) 64 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Server (128GB) 128 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Workstation 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000

AMD-Based Server Configurations

Configuration Specifications Benchmark
Ryzen 5 3600 Server 64 GB RAM, 2x480 GB NVMe CPU Benchmark: 17849
Ryzen 7 7700 Server 64 GB DDR5 RAM, 2x1 TB NVMe CPU Benchmark: 35224
Ryzen 9 5950X Server 128 GB RAM, 2x4 TB NVMe CPU Benchmark: 46045
Ryzen 9 7950X Server 128 GB DDR5 ECC, 2x2 TB NVMe CPU Benchmark: 63561
EPYC 7502P Server (128GB/1TB) 128 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/2TB) 128 GB RAM, 2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/4TB) 128 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/1TB) 256 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/4TB) 256 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 9454P Server 256 GB RAM, 2x2 TB NVMe

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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️