WordPressDRAutomationMulti-tenant

Multi-Tenant WordPress Restore Pipeline

Profile:Internal SaaS operation

Manual WordPress restores were taking 6-8 hours per site and going wrong in subtle ways no one noticed until weeks later. Built a deterministic restore pipeline that completes in under an hour and verifies itself.

DurationInternal product, ongoing since 2024
Categoryautomation
TechnologiesWP-CLI · AIO WP Migration ext v3.96+ · S3 storage · Bash orchestration · Deterministic permission fix · Plugin compatibility allowlist

Key results

<1h
Average restore time (was 6-8h)
100%
Reproducible across sites
0
Silent restores after rollout

The problem

A SaaS operation managing dozens of WordPress sites had a disaster recovery story that worked on paper but fell apart in practice. Restores were a multi-hour, hands-on process: someone clicked through plugin UIs, downloaded backup files manually, fought permission errors and then crossed their fingers that incompatible plugins didn't break the site silently.

Weeks later, someone would notice that a feature didn't work — not because the restore failed, but because a plugin was reactivated in a state it didn't know how to handle. Trust in the backup pipeline was eroding fast.

The approach

Make the restore mechanical and verifiable.

AIO WP Migration extension v3.96+ as the canonical import tool, called via WP-CLI in non-interactive mode. The UI was off-limits — every step had to be reproducible from CLI.

S3 as the backup ground truth — backups land there, restore reads from there. No "download to laptop, upload to server" detour.

Deterministic permission fix step: ownership and mode resets after every restore, never relying on whatever the last admin did manually.

Plugin compatibility allowlist: a known list of plugins that need post-restore reactivation in a specific order. Plugins outside the list get deactivated and surfaced for manual review instead of silently breaking.

Self-verification step: a synthetic check hits 5 canonical URLs after restore and validates response shape before declaring the restore green.

Bash orchestration with structured logs — every step has a checkpoint and the pipeline can resume from a partial restore.

Most of the engineering happened in the boring layer: defining what "restored" actually means and refusing to call it done until that definition is met.

The outcome

Restore time went from 6-8 hours of focused human work to under an hour of mostly-unattended pipeline. Reproducibility hit 100% — the same backup produces the same site every time. Silent restores stopped: every restore either passes the verification step or fails loudly.

The team stopped treating disaster recovery as a feared chore and started treating it as a routine operation.

Why it matters

DR pipelines that look fine in a tabletop exercise often fall apart on real recovery day. The wins come from removing every step where a tired human in the middle of an incident has to make a judgment call. Automate the boring decisions, leave the genuinely interesting ones ("do we restore from yesterday or last week?") to people.

A similar engagement for your team?

Every Tyber.io engagement starts with the same question: which problem hurts the most, and which one is the most fixable. Get in touch with the technical lead directly — no SDR funnel, no junior handoff.

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