Published: September 18, 2026 | Category: Buying Guide | QSCompute
Four hundred sites, no IT staff, a 20 Mbps uplink and a power cut every storm season. That is where most industrial edge data now lives, and it breaks almost every assumption a data-centre backup design rests on: nobody is there to swap media, the network cannot carry the raw data, and a site may be dark for hours while the line keeps producing records that will later have to be defended.
This guide covers how to classify edge data by recovery point and recovery time, how to apply the 3-2-1-1-0 rule when the uplink is the binding constraint, and what to specify in the storage and compute hardware that implements it. The recurring theme is that backup is cheap and restore is expensive, so design and budget for the restore.
The first mistake at an edge site is treating all data as one pool. An inspection archive and a machine recipe have nothing in common: one is large, replaceable and rarely read after thirty days, the other is tiny, unique, and the reason the line cannot start after a failure. Recovery point objective and recovery time objective — how much data you can lose, and how long you can be down — are the two numbers that separate them, and they drive the storage tier each class deserves.
| Data class | Change rate | RPO | RTO | Retention | Where it should live |
|---|---|---|---|---|---|
| Controller and IPC configuration, recipes, calibration | On change | Zero — version every write | Minutes | Full history | Local SSD plus offsite, versioned as text |
| Trained models and model artefacts | Per release | Zero at release | Minutes | All released versions | Local plus immutable offsite; never store only on the site |
| Operating-system and container images | Per patch cycle | One version back | Under an hour | Two to three versions | Local image store, rebuildable from the registry |
| Regulated records: batch, quality, audit trail | Continuous | Under an hour | Hours (offline acceptable) | Regime-defined | Append-only store plus offsite copy with object lock |
| Telemetry and historian data | Continuous, high rate | Minutes to hours | Hours | Local window, then aggregate | Local time-series store; ship roll-ups, not raw samples |
| Video and vision evidence | Very high | Hours | Days | Days locally, longer on events | Rolling local buffer; ship events, incidents and clips only |
| Debug logs and traces | Continuous | Best effort | Not applicable | Days, capped | Separate partition with a hard size cap |
The order matters. Configuration, recipes and model artefacts are usually the smallest classes on site and the ones that stop production when lost, yet they are the least protected because they never look like the big data problem. The video archive, which is genuinely large, is the class whose recovery matters least — which is why it belongs on a rolling local buffer.
The classical rule asks for three copies of the data, on two different media, with one copy offsite. The modern extension adds a fourth copy that is offline or immutable, and a zero standing for verified — the restore is tested and the check reports success, rather than being assumed. At an edge site each of those five elements has a hardware implication.
Three copies means the production device, a local second copy and an offsite copy. Two media means the local second copy should not share the same failure domain — a mirrored pair of identical drives in one enclosure survives a drive failure, not a power event or a firmware bug. The immutable copy answers ransomware and compromised credentials: write-once retention, or a store that is not mounted and not reachable from the site. The verified zero is a scheduled restore, not a scheduled backup.
The uplink forces the design. Eight cameras at 20 GB/day each produce 160 GB/day of raw video, which no 20 Mbps link carries. The practical answer is to ship deltas and derived data: configuration and model artefacts are kilobytes to megabytes and go on every change, telemetry ships as compressed roll-ups, and video ships as event clips with the rolling buffer retained locally. Block-level incremental tools make the difference concrete — a full image of a 200 GB node is 200 GB once, then the daily delta is typically single-digit gigabytes, which fits an overnight window on a constrained link.
| Tier | Scope and method | Typical size per site | Uplink need | Restore path |
|---|---|---|---|---|
| Local live | Production SSD in the node; RAID or mirror for the record store | Tens to hundreds of GB | None | In place, minutes |
| Local snapshot | Filesystem or volume snapshots on a second device, hourly to daily | Delta only | None | Rollback in minutes; recovers from operator error |
| Site store | Small NAS or industrial edge server holding image, config and clip copies | 0.5–4 TB | None | Bare-metal restore over the site LAN |
| Offsite incremental | Block-level incremental push to central storage or object store | Single-digit GB/day delta | Fits an overnight window on 10–20 Mbps | Pull over WAN, or ship an encrypted drive for full restore |
| Immutable / air-gapped | Object lock with a retention period, or an offline removable copy | Config, records, model artefacts | Low | Ransomware and credential-compromise recovery |
Two operational details decide whether this runs. First, store-and-forward: telemetry and record traffic must queue locally and survive a multi-day outage without loss or duplication, so the local queue has to be persistent rather than an in-memory buffer. Second, cap the growth — an uncapped log partition will eventually fill the device that also holds the operating system.
A backup that has never been restored is a hypothesis. The failure modes at an edge site are specific. Secure boot with keys sealed to a TPM is the first: if the platform seals its measurements to the exact firmware and configuration state, a restored image may refuse to boot on a replacement node, so recovery keys must be escrowed where the site cannot lose them. The second is consistency: copying a live database or time-series directory produces a file that opens and is wrong, so either stop the service and snapshot, or use a crash-consistent filesystem or volume snapshot.
The third is arithmetic. A restore that has to pull a full multi-hundred-gigabyte image over 20 Mbps takes days, not hours, so the plan needs a cold spare at the site or a regional depot with the image staged, plus an encrypted physical copy for the worst case. Rehearsing that restore on a bench is the only way to find the missing step before a storm night forces the discovery.
| Requirement | What to specify |
|---|---|
| Local redundancy | Two independent devices or a mirrored volume for the record store; RAID is not a backup |
| Snapshots | Filesystem or volume snapshots with a bounded retention policy and a scheduled prune |
| Offsite transport | Block-level incremental or content-addressed deduplication; resumable transfers; bandwidth limiting outside production hours |
| Immutability | Object lock or write-once retention on at least one offsite copy; credentials for that copy deliberately unavailable to the site |
| Encryption | Encryption in transit and at rest, with keys held centrally and recovery keys escrowed outside the site |
| Consistency | Service stop-and-snapshot or a crash-consistent snapshot; application-consistent hooks where a database is involved |
| Bootability of a restore | Documented path for TPM-sealed secure boot: key escrow, re-provisioning, or a golden image that reseals on first boot |
| Uplink realism | Bulk transfer budget sized to the site's real sustained uplink, not its nominal line rate |
| Storage endurance | Industrial SSD with power-loss protection and DWPD sized for the backup write amplification on the receiving device |
| Telemetry | Backup success and restore-test results reported into the same fleet monitoring used for the machines |
Five rules for a defensible edge backup design:
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