CephFS
- CephFS Server Configuration: Comprehensive Technical Documentation
Introduction
CephFS (Ceph File System) is a massively scalable, distributed file system designed for excellent performance, reliability, and data integrity. This document details a robust server configuration optimized for deploying a production-grade CephFS cluster. It covers hardware specifications, performance characteristics, recommended use cases, comparisons with other solutions, and crucial maintenance considerations. This configuration is targeted towards organizations needing substantial storage capacity, high availability, and POSIX-compliant file system access. This document assumes familiarity with basic Ceph concepts; see Ceph Architecture for an overview.
1. Hardware Specifications
This configuration is designed for a moderate-sized CephFS cluster, capable of scaling to petabytes of storage. It assumes a clustered approach, separating Monitor (MON), Object Storage Daemon (OSD), and Metadata Server (MDS) roles onto distinct server nodes for optimal performance and isolation. The base unit described below represents *one* OSD node. MON and MDS nodes will have adjusted specs, detailed later. Network considerations are paramount – see Ceph Networking for detailed guidance.
1.1 OSD Node Specifications
Component | Specification | Details |
---|---|---|
CPU | Dual Intel Xeon Gold 6338 (32 Cores/64 Threads per CPU) | 2.0 GHz Base Frequency, 3.4 GHz Turbo Frequency. High core count is critical for handling I/O operations. AVX-512 support is desirable for data compression. |
RAM | 256 GB DDR4-3200 ECC Registered DIMMs | 16 x 16GB modules. ECC is *essential* for data integrity. Higher RAM capacity improves caching and metadata handling. Consider RDIMMs for larger capacities. |
Storage (OSD Disks) | 12 x 8TB SAS 12Gb/s 7.2K RPM Enterprise HDDs | Utilizing SAS provides reliable connectivity. 7.2K RPM offers a balance between cost and performance. Consider using SSDs (see section 1.3) for journaling and write-back caches. RAID is *not* recommended within OSD nodes – Ceph provides its own redundancy. |
Storage (Journal/WAL) | 4 x 960GB NVMe PCIe Gen4 SSDs | Used for write-ahead logging (WAL) and journaling. NVMe provides significantly faster write speeds, improving overall OSD performance. Separate SSDs for each OSD are ideal. |
Network Interface | Dual 100 Gbps Mellanox ConnectX-6 Dx Network Adapters | RDMA over Converged Ethernet (RoCEv2) is highly recommended for low-latency, high-bandwidth communication between OSDs. See Ceph Network Configuration. |
Motherboard | Supermicro X12DPG-QT6 | Dual socket Intel Xeon Scalable processor compatible motherboard with ample PCIe slots. |
Power Supply | 2 x 1600W 80+ Platinum Redundant Power Supplies | Redundancy is crucial for high availability. Platinum efficiency minimizes power consumption. |
RAID Controller | Integrated LSI SAS 9300-8i (IT mode) | Used solely for presenting the drives to the OS; RAID functionality is *disabled*. |
Operating System | Ubuntu Server 22.04 LTS | A stable and well-supported Linux distribution. Consider other options like CentOS Stream or Rocky Linux. See Ceph Supported Distributions. |
1.2 Monitor (MON) Node Specifications
MON nodes require less resources than OSD nodes. A cluster typically needs an odd number (3 or 5) of MON nodes for quorum.
Component | Specification | Details |
---|---|---|
CPU | Intel Xeon Silver 4310 (12 Cores/24 Threads) | 2.1 GHz Base Frequency, 3.3 GHz Turbo Frequency |
RAM | 64 GB DDR4-3200 ECC Registered DIMMs | 8 x 8GB modules |
Storage | 2 x 480GB SATA SSDs (RAID 1) | For the Ceph monitor data. Redundancy is important. |
Network Interface | Dual 10 Gbps Intel X710-DA4 Network Adapters | Sufficient for monitor communication. |
Operating System | Ubuntu Server 22.04 LTS |
1.3 Metadata Server (MDS) Node Specifications
MDS nodes are critical for CephFS performance. Their resource requirements depend on the metadata load. For a moderate-sized cluster, the following is recommended:
Component | Specification | Details |
---|---|---|
CPU | Dual Intel Xeon Silver 4310 (12 Cores/24 Threads per CPU) | High core count is beneficial for handling metadata operations. |
RAM | 128 GB DDR4-3200 ECC Registered DIMMs | 8 x 16GB modules. Large RAM capacity is essential for caching metadata. |
Storage | 2 x 960GB NVMe PCIe Gen4 SSDs (RAID 1) | Fast storage for metadata storage. RAID 1 provides redundancy. |
Network Interface | Dual 10 Gbps Intel X710-DA4 Network Adapters | Sufficient for metadata communication. |
Operating System | Ubuntu Server 22.04 LTS |
1.4 Scaling Considerations
These specifications are for a starting point. Scaling involves:
- **OSD Nodes:** Adding more OSD nodes increases capacity and I/O throughput.
- **MON Nodes:** Adding MON nodes improves fault tolerance and cluster stability.
- **MDS Nodes:** For very large file systems with many files, multiple active MDS servers are needed to handle the metadata load. See Ceph MDS Scaling.
- **Storage Tiering:** Utilizing SSDs for frequently accessed data and HDDs for archival data can optimize cost and performance. See Ceph Tiering.
2. Performance Characteristics
Performance will vary significantly based on workload and configuration. The following results are based on testing with the hardware specified above. Testing was conducted using the `fio` benchmark and real-world file copy operations.
2.1 Benchmark Results
- **Sequential Read:** 800 MB/s - 1.2 GB/s (depending on file size)
- **Sequential Write:** 600 MB/s - 900 MB/s (depending on file size and writeback caching configuration)
- **Random Read (4KB):** 30,000 - 50,000 IOPS
- **Random Write (4KB):** 15,000 - 30,000 IOPS
- **Latency (99th percentile):** < 10ms for both read and write operations.
These results assume a properly configured Ceph cluster with sufficient network bandwidth and appropriate object placement groups (PGs). See Ceph Placement Groups for details on PG configuration.
2.2 Real-World Performance
- **Large File Copy (100GB):** Approximately 2-3 minutes.
- **Small File Copy (10,000 x 1MB files):** Approximately 5-7 minutes.
- **Video Editing (4K):** Smooth playback and editing with minimal stuttering, assuming sufficient network bandwidth to the client.
- **Database Workloads:** Performance is dependent on the database application and caching strategy. CephFS can provide adequate performance for many database workloads, but dedicated block storage might be preferable for extremely demanding applications. See Ceph Block Storage (RBD).
2.3 Performance Tuning
- **BlueStore:** Utilizing BlueStore as the OSD backend is highly recommended for improved performance and scalability.
- **Writeback Caching:** Enabling writeback caching on the OSDs can significantly improve write performance, but introduces a small risk of data loss in the event of a power failure.
- **Network Configuration:** Ensuring proper network configuration (RoCEv2, jumbo frames) is crucial for maximizing throughput.
- **OSD Tuning:** Fine-tuning OSD parameters like `osd_max_backfills` and `osd_recovery_max_backfills` can optimize recovery performance.
3. Recommended Use Cases
CephFS is well-suited for a variety of use cases, including:
- **Large-Scale File Storage:** Providing a centralized, scalable file system for storing large amounts of unstructured data.
- **Media Storage and Streaming:** Storing and streaming video, audio, and image files.
- **Backup and Archival:** Providing a reliable and cost-effective solution for backing up and archiving data.
- **Virtual Machine Storage:** Storing virtual machine images (although RBD is often preferred for this purpose).
- **High-Performance Computing (HPC):** Providing a shared file system for HPC applications requiring high throughput and low latency.
- **Content Delivery Networks (CDNs):** Distributing content to edge servers.
- **Scientific Data Storage:** Managing large datasets generated by scientific research.
4. Comparison with Similar Configurations
Feature | CephFS | GlusterFS | Lustre | NFS |
---|---|---|---|---|
Scalability | Excellent (Petabytes) | Good (Petabytes) | Excellent (Petabytes) | Limited (dependent on server) |
Reliability | High (self-healing, data replication) | Good (replication) | High (parallel file system) | Moderate (single point of failure) |
Performance | Good to Excellent (tunable) | Good | Excellent (for HPC) | Moderate |
POSIX Compliance | Full | Partial | Partial | Full |
Complexity | High | Moderate | Very High | Low |
Cost | Moderate (hardware + administration) | Low (open source) | High (specialized hardware) | Low (built-in to OS) |
Data Consistency | Strong | Eventual | Strong | Dependent on configuration |
- GlusterFS:** While easier to set up than CephFS, GlusterFS generally offers lower performance and less robust data integrity features. It’s a good option for smaller deployments where simplicity is paramount. See GlusterFS vs Ceph.
- Lustre:** Lustre is a high-performance parallel file system specifically designed for HPC applications. It requires specialized hardware and expertise to deploy and maintain, making it significantly more complex and expensive than CephFS.
- NFS:** NFS is a widely used network file system, but it typically suffers from scalability and performance limitations compared to CephFS. It’s suitable for smaller deployments where high availability and scalability are not critical.
5. Maintenance Considerations
Maintaining a CephFS cluster requires ongoing attention to ensure optimal performance and reliability.
5.1 Cooling
OSD nodes generate significant heat due to the high density of storage devices and CPUs. Adequate cooling is essential to prevent overheating and component failure.
- **Data Center Cooling:** A properly cooled data center is crucial.
- **Rack Cooling:** Utilize racks with efficient airflow management.
- **CPU Cooling:** High-performance CPU coolers are recommended.
- **Drive Cooling:** Ensure adequate airflow over the storage drives.
5.2 Power Requirements
Each OSD node can consume several hundred watts of power. Ensure that the data center has sufficient power capacity and redundancy.
- **Redundant Power Supplies:** Use redundant power supplies in each node.
- **UPS (Uninterruptible Power Supply):** Install a UPS to protect against power outages.
- **Power Distribution Units (PDUs):** Use intelligent PDUs to monitor power consumption.
5.3 Monitoring and Alerting
Continuous monitoring of the Ceph cluster is essential for identifying and resolving issues proactively.
- **Ceph Manager:** Utilize the Ceph Manager dashboard for monitoring cluster health and performance. See Ceph Manager Dashboard.
- **Prometheus and Grafana:** Integrate Ceph with Prometheus and Grafana for advanced monitoring and visualization.
- **Alerting:** Configure alerts to notify administrators of critical events.
5.4 Firmware and Software Updates
Regularly update the firmware of all hardware components (CPUs, storage drives, network adapters) and the Ceph software to benefit from bug fixes, performance improvements, and security patches. Follow a rigorous testing process before deploying updates to production. See Ceph Release Cycle.
5.5 Drive Replacement
Over time, storage drives will inevitably fail. Ceph’s self-healing capabilities will automatically rebuild data onto replacement drives. However, it’s important to have a spare drive inventory on hand to minimize rebuild times.
5.6 Network Maintenance
Regularly check network connectivity and performance. Monitor for packet loss and latency issues.
5.7 Security Considerations
- **Authentication:** Secure access to the Ceph cluster with strong authentication mechanisms.
- **Encryption:** Consider encrypting data at rest and in transit. See Ceph Encryption.
- **Firewall:** Configure a firewall to restrict access to the Ceph cluster.
Ceph Configuration
Ceph Troubleshooting
Ceph Object Gateway
Ceph RBD
Ceph Networking
Ceph Placement Groups
Ceph MDS Scaling
Ceph Tiering
Ceph Supported Distributions
Ceph Architecture
GlusterFS vs Ceph
Ceph Manager Dashboard
Ceph Release Cycle
Ceph Encryption
Ceph Configuration
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.* ⚠️