The Tool Desk
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What determines the cluster size?
A useful estimate starts with the workload and the failure objective, not with a target number of servers. A cluster that stores mostly large, sequential objects has different performance needs from one serving many small objects with latency-sensitive requests. The amount of data alone does not establish how many nodes or how much bandwidth you need.
- Data profile: current stored data, ingest rate, growth horizon, retention and deletion behavior, and object-size distribution.
- Service profile: concurrent clients, read/write mix, throughput, IOPS and latency requirements, and whether access is mostly sequential or random.
- Failure objective: which drive, host, rack or site failures must be tolerated, including whether more than one can occur before recovery finishes.
- Operational target: acceptable recovery time and how much free capacity and performance headroom must remain during ordinary operation and recovery.
These inputs determine the protection layout, number and size of failure domains, device mix, compute resources and network capacity. Without them, prescribing a specific server or drive count would be guesswork.
How much raw storage do you need?
First decide how data will be protected. Replication stores copies; erasure coding splits data into data and parity fragments. For a Ceph pool configured with size-three replication, the basic raw-capacity multiplier is 3.0. Ceph documents a 4+2 erasure-coded profile with a 1.5 multiplier, calculated as (k+m)/k. Erasure coding uses less raw capacity for the same protected data, but can reduce performance, particularly on HDDs and during recovery.
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| Ceph protection example | Raw-capacity multiplier | Meaning |
|---|---|---|
| Size-three replication | 3.0x | Three units of raw storage for each unit of user data. |
| 4+2 erasure coding | 1.5x | Six fragments for every four data units. |
For illustration, if a hypothetical workload needs 100 TiB of protected user data, the protection arithmetic alone implies 300 TiB raw with size-three replication or 150 TiB raw with a 4+2 profile. Those figures are before free-space and recovery reserves, metadata, uneven placement, device capacity lost to formatting, growth, and other operational needs. They are not recommended cluster sizes.
Placement matters as much as the arithmetic. An erasure-coded layout must have enough independent CRUSH failure domains to place its fragments: Ceph says most such deployments need at least k+m failure domains and notes advantages to having k+m+1. Decide whether the relevant domains are hosts, racks or another boundary based on the failures the system is intended to survive. Do not treat an overhead multiplier as proof that a design can tolerate a particular real-world failure.
Ceph’s erasure-coded pool guidance explains the capacity calculation and the performance and placement trade-offs. A separate implementation illustrates why parity and server counts cannot be generalized: MinIO’s sizing guide gives configuration-specific examples and separate read- and write-server-loss tolerances. Its repository was archived on April 25, 2026, so that document is useful as an illustration, not as evidence of current support policy or a universal design rule: MinIO erasure-code sizing guide.
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How many storage nodes and drives should you use?
Choose enough nodes to provide the failure domains required by the protection scheme, while keeping the loss of any one node from creating an unsafe recovery burden. Ceph advises spreading daemons across hosts and cautions that more, smaller nodes can be safer than fewer, denser ones: a large host failure may leave too much data to restore before the cluster reaches its full ratio. Where feasible, run workload services separately from storage daemons so application load does not compete with storage and recovery work.
A common Ceph layout is one OSD per drive, with a dedicated device for the operating system. The cited Ceph storage guidance also recommends enterprise media for production, SSDs for monitor databases and metadata/index pools, and optionally SSD WAL/DB offload for HDD OSDs. Its guide gives upper guidance of five HDD OSDs per SAS/SATA offload SSD or fifteen per modern NVMe offload SSD. These are software- and release-specific details; confirm them against the version being deployed rather than applying them automatically.
Drive choice changes not only purchase capacity but also performance and recovery behavior. Ceph’s guidance describes HDDs as lower cost per terabyte but lower in IOPS per terabyte as drive size grows; SSDs can recover faster and suit metadata- or performance-sensitive pools. Benchmark candidate drives with the intended I/O pattern and consider chassis, interfaces and management costs alongside media. Ceph’s Storage Devices guidance covers device layout and trade-offs.
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How much CPU and RAM should you budget?
For Ceph, the development-version minimum hardware table recommends three CPU threads per HDD OSD and six per NVMe OSD. These are bare-minimum recommendations, before replication, and the documentation says actual needs vary with hardware, erasure coding and compression; production clusters need more. Treat the thread counts as a starting point for estimating per-node demand, not as a complete CPU specification.
Ceph’s development-version CPU and memory guidance sets the BlueStore OSD memory target to 4 GiB by default and says to budget at least 20% RAM above the sum of OSD targets. That additional memory does not replace what the operating system, monitors, managers, logs or other services require. Plan for startup, rebalancing and recovery peaks as well as quiet-period use: recovery and peering consume host resources too.
For the calculations and caveats, consult Ceph’s Minimum Hardware per Daemon and CPU and Memory Sizing pages. Both are under /latest, which Ceph identifies as development-version documentation; check the guidance for the stable release you intend to deploy.
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Is 10 Gb/s enough for the storage network?
It may be a floor to evaluate, not a guarantee of adequate performance. Ceph’s development-version network-sizing guide recommends at least 10 Gb/s between storage hosts and between clients and the cluster, 25 Gb/s for substantial workloads, and says dense nodes may benefit from 100 Gb/s. The right link rate depends on client traffic, drive throughput per host, recovery demand and the capacity of switch uplinks—not merely on the speed of one NIC.
| Ceph development-version guidance | Link speed | Qualification |
|---|---|---|
| Minimum recommendation | At least 10 Gb/s | Between storage hosts and between clients and the cluster. |
| Substantial workloads | 25 Gb/s | Recommended for heavier workloads; not a workload-independent guarantee. |
| Dense nodes | Often 100 Gb/s | Ceph says this may be appropriate for dense nodes. |
Network bandwidth carries client traffic as well as replication and recovery traffic. Estimate both classes under peak conditions, then check whether the per-host drives can produce more traffic than the NIC can carry and whether top-of-rack uplinks are oversubscribed. Ceph recommends active/active bonded links across separate switches and a separate out-of-band management network. Its Network Sizing guidance covers link rates and topology.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How much bandwidth should you reserve for recovery?
Recovery is part of availability planning, not spare capacity to consider later. If a device or host fails, the cluster may need to copy or reconstruct data while continuing to serve clients. A second failure before that work finishes can make data unavailable or lost, depending on the protection scheme and remaining placement.
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Ceph’s network-sizing page gives an illustrative transfer example—not a cluster-specific recovery guarantee:
| Illustrative transfer | Link speed | Time shown by Ceph |
|---|---|---|
| 1 TiB | 1 Gb/s | 3 hours |
| 1 TiB | 10 Gb/s | 20 minutes |
Actual recovery time depends on workload competition, device speed, how much data needs to be rebuilt, network contention and the implementation’s recovery behavior. Test client performance while recovery or backfill runs, and measure recovery time after a realistic failure instead of inferring it from line rate alone. Ceph’s Architecture overview describes CPU, RAM and network work during recovery, peering and rebalancing.
A practical sizing workflow
- Document the workload. Record current data, ingest and growth horizon, retention and deletion patterns, object sizes, client concurrency, read/write mix, throughput, IOPS and latency targets.
- Define failures to survive. Specify drive, host, rack and site failure scenarios, including any simultaneous failures, and set a recovery-time objective.
- Select protection and calculate raw capacity. Apply the chosen replication or erasure-coding overhead to protected user data, then add growth and free-space/recovery headroom. Check that failure-domain placement can support the intended resilience.
- Set node and device layout. Decide OSDs per host, drive type and size, OS-device placement, and any SSD role for metadata or HDD WAL/DB. Ensure that losing a host does not leave too little safe capacity for recovery.
- Sum compute demand. Estimate CPU and memory by daemon and device count, then add operating-system, other-daemon and peak/recovery requirements. Treat vendor minimums as a starting point, not the production target.
- Size the network end to end. Account for client reads and writes plus replication, recovery and backfill. Check host NICs, switch capacity and uplink oversubscription; include independent paths and out-of-band management where appropriate.
- Validate before ordering at scale. Benchmark candidate drives against the intended I/O pattern, measure service during recovery/backfill, and exercise a realistic failure. Check recovery time and fullness behavior as well as normal-operation throughput.
Ceph’s Hardware Recommendations page summarizes the reason to validate a design before purchase: “No two clusters are alike: benchmark before you buy.” It also explicitly says its /latest hardware recommendations describe a development version, so verify requirements against the stable release in use. See Ceph Hardware Recommendations.
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