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Plug into the existing workflow

Push the code. Rediacc spins up a fresh copy of production. Tests run on real data, not fake data. No custom scripts to write.

THE PROBLEM

Custom CI/CD scripts break and no one maintains them

Someone wrote a 200-line script to build test environments in the pipeline. Then they left the company. Now the script breaks every month, and nobody understands it. The pipeline runs on duct tape and hope.

69% of developers lose 8+ hours weekly to tooling inefficiencies 1 Atlassian 2024
182x more frequent deployments by teams with streamlined CI/CD 2 DORA State of DevOps, 2024
$6.9M/yr cost of developer inefficiency per 500 developers 1 Atlassian 2024
THE REAL COST

What broken CI/CD really costs

Every test that passes on synthetic data but fails in production is a CI pipeline that lied.

HOW IT WORKS

One command. Zero scripts.

1

Connect

Add one line to the Git config. Works with GitLab CI, GitHub Actions, or any system that can send a webhook.

2

Trigger

Every push makes a fresh copy of production on its own. Real data. Real settings. Real services.

3

Test

Tests run on a copy that matches production exactly. The copy deletes itself when the tests finish.

Git Push Trigger
branch: feature/auth-v2
commit: a3f7b2c
author: sarah
52s
Clone CoW
gitlab · nextcloud
mariadb · mailcow
380 GB → 2.1 GB
3m 14s
Tests Passed
247 unit tests ✓
38 integration ✓
auto-cleanup ✓
UNDER THE HOOD

Custom scripts vs. built-in integration

Most CI tools spin up empty containers and fill them with fake data. Rediacc works deeper, at the server level. Every push gets a full copy of production: real data, real settings, real services.

Short on time?

Skip the deep-dive. Grab the five-minute version, short enough to read at a stand-up.

Download short brief (PDF)
THE GAP

Fake test data vs. production copies

Every CI platform can spin up containers. None deliver a real copy of production with real data.

Simplify the CI/CD pipeline

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$ rdc repo fork production --tag ci-build