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Cleanup Laravel Package

visavi/cleanup

A Laravel package for automating cleanup of old or unused files and directories. Configure paths and retention rules, then run the provided Artisan command manually or on a schedule to reclaim disk space and keep application storage tidy.

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Technical Evaluation

  • Architecture fit: Strong fit for conventional Laravel monoliths running on persistent VM/bare-metal infrastructure where local cache, logs, sessions, and temp storage are meaningful. It should be positioned as an optional operational hygiene layer, not as a backup, audit-retention, or compliance control.
  • Integration feasibility: Generally low implementation effort: Composer install, publish/configure retention rules, register the Artisan cleanup command with Laravel’s scheduler, then validate in non-production. The main effort is policy definition and safe path governance, not code integration.
  • Technical risk: Destructive file deletion is the primary risk. Retention misconfiguration, broad globs, symlink handling, permissions, multi-tenant paths, shared hosting boundaries, and concurrent scheduled runs can cause unintended data loss. Low community validation—23 stars, limited repository/documentation visibility, and a future-dated release marker—means the package should not become a critical-path dependency without review.
  • Key questions: Which Laravel versions and PHP versions are supported? Does it support dry-run and verbose logging? How are symlinks, file locks, and overlapping schedules handled? Can retention be scoped by environment and tenant? Who owns cleanup configuration and incident rollback? Is the repository/package provenance verifiable?

Integration Approach

  • Stack fit: Suitable for Laravel applications using filesystem-backed cache, sessions, logs, and local temp directories. Less suitable where storage is ephemeral, object-backed, regulated, or managed exclusively by platform services.
  • Migration path: No schema or application-code migration is required. Introduce as a new scheduled maintenance job, publish configuration, explicitly enumerate cleanup targets, and preserve existing framework-native pruning where already configured.
  • Compatibility: Confirm supported Laravel/PHP matrix before adoption. Test against the application’s real filesystem layout, storage drivers, queue workers, deployment user permissions, and container lifecycle. Avoid duplicate cleanup with Laravel’s built-in cache/session/log pruning.
  • Sequencing: Start with dry-run or logging-only validation in staging, then enable a narrow low-risk target such as temporary files. Expand to logs, cache, sessions, and custom paths only after observing behavior for at least one retention cycle. Use canary or non-critical environments before production rollout.

Operational Impact

  • Maintenance: Low ongoing code maintenance if the package remains stable, but configuration must be treated as production infrastructure. Retention values, path allowlists, exclusions, and scheduler changes need review and version control.
  • Support: Community support is limited by low adoption and unclear repository provenance. A TPM should require an internal owner, fallback manual cleanup procedure, and exit plan to replace the package with a small custom Artisan command if maintenance lapses.
  • Scaling: Scales adequately for typical scheduled Laravel cleanup on persistent disks. Risk increases with large directory trees, many tenants, shared filesystems, or high-frequency schedules. Cleanup jobs should be monitored for runtime, disk I/O, and overlap with deployments or backup jobs.
  • Failure modes: Accidental deletion, skipped cleanup due to permission errors, scheduler overlap, symlink traversal, disk exhaustion from failed runs, and silent failures. Require logging, alerting, dry-run capability, exclusion rules, and restricted execution permissions.
  • Ramp-up: Minimal engineer ramp-up for Laravel teams, but policy ramp-up matters more than technical onboarding. Establish retention standards, path ownership, test evidence, rollback steps, and approval gates before production use.
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