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Backup Automation

Make Backup Operations Easier to Manage.

A backup you have not restored is a hypothesis. StackHeal coordinates the schedules, watches every outcome, chases the failures, and verifies that what you have can actually be restored — across whichever backup tools you already run.

  • One view of outcomes across every backup system
  • Failures that get chased, not just logged
  • Recovery steps rehearsed before you need them

Backup job outcomes

7-day window
JobWindowLast 7 runsRestore test
db-cluster-0101:00 Verified
web-fleet02:15 Verified
object-store03:00 Retrying
mail-relay04:30 Verified
SucceededRetriedFailedNot scheduled
Illustrative interface preview with sample data.

Benefits

What changes when backups are coordinated

One place to see what actually ran

Jobs across different tools, sites and tenants report into a single outcome view, so a gap is visible instead of buried in four consoles.

Failures with a follow-up attached

A failed job triggers a retry policy, notifies the right team, and stays open until it succeeds or someone decides otherwise.

Retention you can demonstrate

Retention and rotation run as policy rather than as a per-job setting someone edited last year, and the resulting coverage is reportable.

Recovery that has been rehearsed

Restore workflows are defined, test-restored on a schedule, and timed — so your recovery estimate comes from evidence rather than optimism.

How it works

The backup operations loop

StackHeal does not store your backups. It coordinates the systems that do, and holds them to the schedule you set.

  1. 01

    Scheduling

    Define windows, dependencies and priorities per asset class or tenant. StackHeal triggers your backup tooling and keeps overlapping jobs out of each other's way.

  2. 02

    Outcome monitoring

    Every job's result is collected — success, warning, failure, missed window — and reconciled against what should have run.

  3. 03

    Failure handling

    Retry policies run with backoff. Repeated failures notify the owning team with the job history and the last error, not just an alert.

  4. 04

    Retention and rotation

    Retention policies are applied and audited, including the long-term copies you need to keep and the ones you need to be sure are gone.

  5. 05

    Recovery verification

    Scheduled test restores confirm that a recovery point is usable, and record how long the restore took.

Example workflows

Example backup workflows

Backup work is mostly the same four conversations. These make them repeatable.

Nightly fleet backup with reconciliation

Trigger: Scheduled window per asset class

  1. 1Trigger each job through its backup platform
  2. 2Collect outcomes and compare against the expected job list
  3. 3Retry transient failures with backoff
  4. 4Report assets with no successful copy in the window

Outcome: A nightly reconciliation that names anything unprotected, instead of a dashboard that is mostly green.

Restore test rotation

Trigger: Weekly or monthly rotation across protected assets

  1. 1Select the next assets in the rotation
  2. 2Restore to an isolated target
  3. 3Run integrity and application-level checks
  4. 4Record restore duration and tear the target down

Outcome: Evidence that recovery points are usable, with measured restore times per asset class.

Customer restore request

Trigger: Ticket requesting a file, database or full restore

  1. 1Identify the asset and list available recovery points
  2. 2Confirm the requester is authorised for that account
  3. 3Require approval for in-place restores
  4. 4Run the restore and verify the result

Outcome: A restore completed through a defined path, with the approval and the verification both recorded on the ticket.

New asset protection check

Trigger: A machine is provisioned or discovered

  1. 1Match the asset to a protection policy
  2. 2Register it with the correct backup job and retention
  3. 3Confirm the first successful copy

Outcome: No asset sits unprotected because its enrolment was forgotten after a build.

About these examples

These describe workflow patterns the platform is designed to run, with the steps a team would configure. They are illustrations of the product model — not recordings of a specific customer deployment.

Compatibility

Integrations this product uses

Systems connect through maintained connectors or through their own APIs and webhooks. Check the directory for each system's current status.

Backup and snapshot systems

  • Proxmox Backup Server
  • Veeam
  • Restic / Borg
  • Hypervisor snapshots
  • Database-native dumps

Storage targets

  • S3-compatible object storage
  • NFS / SMB targets
  • Tape and archive workflows via API

Signals and notifications

  • Zabbix
  • Prometheus Alertmanager
  • Service desk tickets
  • Chat and email notifications

Controls

Security and operational controls

Restores are among the most destructive operations in an operations toolkit. They are gated accordingly.

Security overview

Separation of duties

The permission to run a backup is distinct from the permission to restore over live data.

Mandatory approval for in-place restores

Restores that overwrite production require a named approver, with the target and recovery point shown at approval time.

Immutable run records

Job outcomes, retention decisions and restore runs are written to an append-only history.

Credential isolation

Backup system credentials are held server-side in a secret store and never exposed to a workflow author or a model.

Related products

StackHeal products share one workflow engine, one action catalogue and one run history.

Learn more about Infrastructure Monitoring

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Server Operations

Run recurring server and facility tasks the same way every time, with a record of each run.

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Learn more about Workflow Orchestration

Workflow Orchestration

Connect systems and automate repetitive operational processes.

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Backup Automation questions

The questions we are asked most often in evaluation calls.

Something not covered here? Ask our team.

Ready to try backup automation against your own workflows?

We will scope a proof of concept around one or two of the request types your team handles most often, and show you what the run history looks like.