Choosing a RAID level is one of those decisions made once, at provisioning time, and lived with for the entire life of the server — get it wrong and you either lose performance you needed or lose data you could not afford to lose. This guide walks through RAID 0, 1, 5, and 10 with real tradeoffs rather than textbook definitions, so you can match the level to the actual workload rather than defaulting to whatever a provisioning wizard suggests.
How RAID Actually Works, Briefly
Every RAID level is a different answer to the same tradeoff triangle: capacity efficiency, performance, and fault tolerance — you can optimize for at most two of the three at once. Striping (splitting data across multiple disks so reads/writes happen in parallel) buys performance and capacity efficiency but costs fault tolerance. Mirroring (writing identical copies to multiple disks) buys fault tolerance and performance but costs capacity. Parity (calculating and storing a mathematical checksum that can reconstruct a missing disk's data) buys fault tolerance and capacity efficiency but costs write performance. Every RAID level below is simply a specific combination of these three primitives, which is why understanding the primitives makes the levels themselves far more intuitive than memorizing them as arbitrary numbered configurations.
RAID Levels at a Glance
| RAID Level | Min. Disks | Usable Capacity | Fault Tolerance | Read Performance | Write Performance |
|---|---|---|---|---|---|
| RAID 0 | 2 | 100% (full sum) | None — any disk failure loses all data | Excellent | Excellent |
| RAID 1 | 2 | 50% | Survives 1 disk failure | Good | Good (no penalty) |
| RAID 5 | 3 | (n-1)/n | Survives 1 disk failure | Good | Reduced (parity write penalty) |
| RAID 10 | 4 | 50% | Survives 1 per mirror pair (up to half the array) | Excellent | Excellent |
RAID 0: Striping for Raw Speed, Zero Protection
RAID 0 splits data across disks with no redundancy at all — every disk in the array must survive for the data to survive, meaning fault tolerance is actually worse than a single disk (more disks means more chances for one to fail). We only recommend RAID 0 for genuinely disposable, easily-regenerated data: a build cache, a transient cache tier, or a game server where the world data is backed up separately and a full loss is merely inconvenient rather than catastrophic. Do not run a database or anything containing data you cannot regenerate on RAID 0, regardless of how tempting the raw throughput numbers look on a spec sheet.
RAID 1: Mirroring for Simplicity and Safety
RAID 1 writes identical data to two disks — lose one, the other keeps serving reads and writes with zero interruption. Usable capacity is exactly half your raw disk space (two 1TB drives give you 1TB usable), which is the tradeoff for simplicity and reliability. Write performance is not penalized the way RAID 5 is, since there is no parity calculation, only duplication. RAID 1 is the right default for small production servers, boot/OS drives, and any two-disk setup where "keep it simple and reliable" beats "maximize capacity."
RAID 5: Parity Striping for Capacity Efficiency
RAID 5 stripes data across at least three disks with distributed parity, so you lose only one disk's worth of capacity to redundancy regardless of array size (four 1TB drives give roughly 3TB usable). The catch is the write penalty: every write requires reading existing data and parity, recalculating, then writing both back — a real throughput hit under heavy random-write loads like an active database. The more serious risk is rebuild time: rebuilding a large RAID 5 array after a disk failure can take many hours to over a day depending on array size, and the array runs in a degraded, unprotected state that whole time — if a second disk fails during that rebuild window, the entire array is lost. This makes RAID 5 a reasonable fit for capacity-heavy, largely read-oriented storage (media archives, backups-of-backups) and a poor fit for busy write-heavy databases.
RAID 10: Striped Mirrors, the Performance-and-Safety Compromise
RAID 10 combines mirroring and striping — data is mirrored in pairs, then those mirrored pairs are striped together, requiring a minimum of four disks. You get RAID 0-like performance (no parity penalty) with genuine fault tolerance, and rebuilds are dramatically faster than RAID 5 because a failed disk only needs its mirror partner copied, not the entire array's parity recalculated. The tradeoff is capacity: you only get 50% of raw disk space usable, same as RAID 1, so it costs more per usable terabyte than RAID 5. For any write-heavy production database or a busy web application backend, RAID 10 is generally worth that capacity cost.
RAID 6: RAID 5's More Cautious Sibling
RAID 6 extends RAID 5's distributed parity model with a second, independent parity block, tolerating two simultaneous disk failures instead of one at the cost of a second disk's worth of usable capacity (six 1TB drives yield roughly 4TB usable rather than RAID 5's 5TB). The extra parity calculation makes RAID 6's write penalty somewhat worse than RAID 5's, but the dramatically improved safety margin during a rebuild — surviving a second disk failure while already rebuilding from a first — makes RAID 6 the more sensible choice for large-capacity arrays (8+ disks) where rebuild windows stretch into many hours or days and a second failure during that window is a real, not theoretical, risk.
Nested RAID: RAID 50 and RAID 60
For very large arrays, RAID 50 (multiple RAID 5 arrays striped together) and RAID 60 (multiple RAID 6 arrays striped together) combine the capacity efficiency of parity RAID with better aggregate performance and a smaller "blast radius" per failure domain — a disk failure only degrades one of the underlying RAID 5/6 sub-arrays rather than the entire pool. These configurations require significantly more disks (a minimum of 6 for RAID 50, 8 for RAID 60) and are generally reserved for large storage arrays (12+ disks) rather than typical dedicated server configurations, but are worth knowing about if you are sizing storage for a database cluster or a large media archive.
Choosing by Workload
| Workload | Recommended RAID | Why |
|---|---|---|
| Production database (MySQL/PostgreSQL) | RAID 10 | High random write performance, fast rebuild, real fault tolerance |
| General web server / WordPress | RAID 1 | Simplicity, adequate performance, full redundancy |
| Media/backup archive storage | RAID 5 (or RAID 6 for larger arrays) | Capacity efficiency matters more than write speed here |
| Build cache / disposable cache tier | RAID 0 | Maximum speed for data that is not precious |
| Game server (world data backed up separately) | RAID 1 or RAID 10 | Balance of performance and protection against a lone disk failure |
Hardware vs Software RAID
Hardware RAID uses a dedicated controller card with its own processor and (often) battery/flash-backed cache, offloading parity calculations from the main CPU and typically offering faster, more predictable performance — the tradeoff is cost and a dependency on that specific controller for array recovery. Software RAID (Linux mdadm, or ZFS's native RAID-Z) uses the host CPU, which is largely a non-issue on modern multi-core servers, and offers easier recovery since arrays are not locked to a specific proprietary controller. For NVMe-based servers in particular, software RAID via mdadm or ZFS is increasingly the more flexible and equally performant choice.
Setting Up Software RAID with mdadm: A Practical Example
Creating a RAID 10 array from four disks with mdadm looks like this:
mdadm --create /dev/md0 --level=10 --raid-devices=4 /dev/sdb /dev/sdc /dev/sdd /dev/sde mkfs.ext4 /dev/md0 mdadm --detail --scan >> /etc/mdadm/mdadm.conf update-initramfs -u
Check ongoing rebuild or sync status at any time with cat /proc/mdstat, which shows exactly how far along a resync or rebuild operation is and its current speed — useful both for initial array creation (which requires an initial sync pass even on a healthy new array) and for monitoring an active rebuild after a disk replacement.
ZFS RAID-Z: A Different Model Worth Understanding
ZFS implements its own RAID-like redundancy (RAID-Z1, RAID-Z2, RAID-Z3, roughly analogous to RAID 5/6/triple-parity) natively within the filesystem rather than as a separate block-device layer, which lets it avoid the classic "RAID write hole" problem (a partially completed stripe write during a power loss corrupting parity) through its copy-on-write design. ZFS also brings built-in checksumming of all data and metadata, catching silent data corruption ("bit rot") that a traditional RAID controller would never detect since it has no concept of whether the data itself is actually correct, only that the expected number of disks responded.
RAID Rebuild Risk: The Number Most Guides Skip
A degraded array (one disk down) is not "still fine" — it is running with zero redundancy margin until the rebuild finishes, and rebuild time scales with array size. A rough guide: a 2TB RAID 5 rebuild might take 6-12+ hours depending on controller and concurrent load, versus a comparable RAID 10 rebuild often finishing in under an hour since only the mirrored partner needs copying. Larger arrays and busier production load both extend rebuild time and therefore extend your exposure window — factor this directly into RAID level choice for large-capacity arrays, not just raw performance numbers.
RAID Is Not a Backup
Every RAID level above protects against physical disk failure only — none of them protect against accidental deletion, ransomware, or logical corruption, all of which replicate across a RAID array identically to legitimate writes. See our backup strategies guide for the layered approach (RAID plus snapshots plus offsite copies) that a RAID level alone cannot provide.
Buyer's Checklist
- Confirm whether your provider offers hardware RAID with a battery/flash-backed cache, or software RAID only
- Ask what monitoring/alerting exists for a degraded array — you need to know immediately, not days later
- Match RAID level to actual write pattern (database vs static file serving) rather than defaulting to whatever is cheapest
- Factor rebuild time into your choice if you are running large-capacity arrays
- Pair your RAID level with a real backup plan — RAID and backup solve different problems
Frequently Asked Questions
What is the best RAID level for a dedicated server running a database?
RAID 10, in almost every case — the random-write penalty of RAID 5 is a poor match for typical database I/O patterns, and RAID 10's fast rebuild time matters more for critical data than RAID 5's capacity efficiency.
Is RAID 0 ever a good idea?
Only for genuinely disposable data where maximum speed matters more than any data loss risk — never for anything you cannot cheaply and quickly regenerate.
How many disks do I need for RAID 10?
A minimum of four, always in an even number, since it is built from mirrored pairs that are then striped together.
Does RAID improve backup strategy?
No — RAID improves uptime and fault tolerance against physical disk failure. It does not replace backups, which protect against an entirely different set of failure modes.
What happens if a second disk fails during a RAID 5 rebuild?
The entire array is lost, since RAID 5 can only tolerate one simultaneous disk failure — this is the central risk that makes RAID 10 preferable for critical, write-heavy data despite its higher capacity cost.
Can I switch RAID levels after a server is already in production?
Usually not without a rebuild from scratch and a full data migration — choose carefully at provisioning time, since changing RAID level later typically means new disks, a fresh array, and restoring from backup.
Getting RAID configuration right at provisioning time saves a painful migration later. Talk to our team about dedicated server storage options, or contact us to discuss the right RAID level for your workload.