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Backup

Implement reliable backup strategies avoiding data loss, failed restores, and security gaps.

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版本1.0.0
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name: Backup description: Implement reliable backup strategies avoiding data loss, failed restores, and security gaps. metadata: {"clawdbot":{"emoji":"💾","os":["linux","darwin","win32"]}}

The Only Rule That Matters

  • Untested backups are not backups — schedule regular restore tests, not just backup jobs
  • Test restores to different hardware/location — validates both backup and restore procedure
  • Time the restore — know how long recovery actually takes before disaster strikes

3-2-1 Rule Violations

  • Same disk as source data = not a backup — disk failure loses both
  • Same server as source = not a backup — ransomware/fire/theft takes both
  • Same cloud account = risky — account compromise or provider issue loses both
  • Cloud sync (Dropbox, Drive) is not backup — syncs deletions and corruption too

Ransomware Protection

  • Backups accessible from production get encrypted too — air gap or immutable storage required
  • Append-only/immutable storage prevents deletion — S3 Object Lock, Backblaze B2 with retention
  • Offline rotation (USB drives, tapes) for critical data — can't encrypt what's not connected
  • Test restoring from immutable backup — verify ransomware can't corrupt the restore process

Database Backup Traps

  • File copy of running database = corrupted backup — use pg_dump, mysqldump, mongodump
  • Point-in-time recovery needs WAL/binlog archiving — dump alone loses recent transactions
  • Large databases: pg_dump locks tables — use pg_basebackup or logical replication for zero downtime
  • Test restore to different server — verifies backup is self-contained

Incremental Backup Pitfalls

  • Incrementals depend on chain — one corrupted backup breaks all following
  • Long chains slow restores — schedule periodic full backups
  • Deduplication saves space but adds complexity — single repo corruption affects all backups
  • Verify backup integrity regularly — bit rot happens, checksums catch it

Retention Mistakes

  • No retention policy = storage fills up — define and automate cleanup
  • Too aggressive retention = can't recover old corruption — keep monthlies for a year minimum
  • Legal/compliance requirements may mandate retention — check before setting policy
  • Grandfather-father-son pattern: daily/weekly/monthly tiers

Filesystem Traps

  • Permissions and ownership often lost — verify restore preserves them, or document expected state
  • Symlinks may not backup correctly — some tools follow, some copy link, test behavior
  • Sparse files may inflate — 1GB sparse file becomes 1GB actual in backup
  • Extended attributes and ACLs — not all tools preserve them

Cloud and Remote

  • Encrypt before upload — cloud provider breach shouldn't expose your data
  • Bandwidth costs add up — initial seed via physical drive for large datasets
  • Region matters for disaster recovery — same region as production doesn't survive regional outage
  • Egress fees can be brutal — know restore costs before emergency

Tool-Specific

  • rsync --delete on wrong direction destroys source — always double-check source/destination
  • restic/borg need repository password — lose it = lose all backups, no recovery
  • Tarball without compression: faster, but larger — choose based on CPU vs storage tradeoff
  • Snapshots (LVM, ZFS, cloud) are not backups — same storage system, same failure domain

Documentation

  • Document restore procedure — you won't remember under pressure
  • Store procedure outside the backup — printed, different system, password manager
  • Include credentials, paths, expected time — everything needed to restore at 3am

如何使用「Backup」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Backup」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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