No dedicated repository. This page documents the restore-platform pattern; measurable PROVED / UNPROVED evidence lives in the Kanister Recovery Contract.
Case 01 · Pattern
Automatic SaaS Restore System
Restores stop being 3am heroics: dry-run, safety gates, audit, and operator handoff turn recovery into a platform capability with a designed RTO.
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Evidence home
Pattern case — proof lives next door.
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How it works
From 3am panic to a designed RTO.
Automatic SaaS Restore by Andrey Lesnikov — replace tribal scripts with gated recovery you can rehearse before production is on fire.
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Preview before you mutate
Dry-run shows blast radius and intended actions while the cluster is still calm — not after someone already typed the wrong command.
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Pass safety gates
Approvals and checks sit on the path so restore is deliberate infrastructure, not an improvisation under pager pressure.
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Execute with status
Every step reports who ran what and when — audit is part of recovery, not a postmortem wishlist.
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Hand off with done criteria
Operators get a clear finish line: service healthy, evidence stored, next human knows the state.
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Evidence
From problem to proof.
How the system is framed, operated, and proven — not a slide deck summary.
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SaaS or cluster restore still depends on tribal scripts, 3am heroics, or undocumented runbooks — and you need a designed RTO with dry-run and audit before production is on fire.
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You only need volume snapshots without application-order recovery, secrets/context, or isolated drills. For a full Recovery Contract (PROVE / UNPROVED), start with Kanister Backup & Restore.
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Kanister Backup & Restore turns restore into a proved contract. Self-Healing Infrastructure and Incident Runbook Automation cover the surrounding failure and response loops.
Constraints
Cloud state, safety gates, auditability, and rollback clarity matter.
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Related
Nearby systems.
Kanister Backup & Restore
A green backup job is not proof you can recover — artifacts, secrets, schema, and RTO still fail quietly
Restore proved before the incident
Self-Healing Infrastructure
Transient infrastructure failures can become user-facing incidents when recovery depends on manual detection
Common failures recover with guardrails
Incident Runbook Automation
Incidents are slower when context, dashboards, logs, and recovery steps live in different places
Repeatable response → lower MTTR
Available for meaningful infrastructure conversations