Skip to main content Skip to navigation Skip to footer
Limited time: Design Partner Program — BUSINESS plan free for life
DEVELOPMENT ENVIRONMENTS

Plug into your existing workflow

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

Every CI tool can spin up empty containers. None give you a real copy of production with your actual data. Rediacc does.

# .gitlab-ci.yml — one line adds production clones to your pipeline
$ git push origin feature/auth-v2
Webhook received .............. feature/auth-v2
Cloning production (btrfs CoW) .. 380 GB → 2.1 GB
Starting clone: ci-auth-v2 .... 4 repos live
Running test suite ............ 247 passed
Running integration tests ..... 38 passed
Auto-destroying clone ......... cleaned up
✓ Pipeline passed: 285 tests on production-identical clone
trigger: git push    clone: 52s    tests: 3m 14s    total: 4m 06s

Illustrative output; actual runs may include extra logs.

1 line
Config to integrate
Git
Native integration
0
Custom scripts needed
THE PROBLEM

Custom CI/CD scripts break and no one maintains them

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

69% of developers lose 8+ hours weekly to tooling inefficiencies Atlassian 2024 [1]
182x more frequent deployments by teams with streamlined CI/CD DORA State of DevOps, 2024 [2]
$6.9M/yr cost of developer inefficiency per 500 developers Atlassian 2024 [1]
CUSTOM CI SCRIPTS
Step 1 Write bash scripts
Step 2 Set up servers
Step 3 Load test data
Monthly Debug broken CI
Result Tests pass, prod fails
WITH REDIACC
git push
Auto
Real data
THE REAL COST

What broken CI/CD is costing you

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

CI/CD Maintenance Calculator

CUSTOM SCRIPTS
Debug hours / month12 hrs
Blocked dev-hours / month40 hrs
Prod bugs from bad test data~6/quarter
Annual cost
$46,800
WITH REDIACC
Debug hours / month0 hrs
Blocked dev-hours / month0 hrs
Prod bugs from bad test data0
Annual cost
$0
Assumes $75/hr developer cost. Blocked hours estimated at 1hr per developer per CI failure due to context switching. Production bugs from test data mismatch estimated at 1.5x monthly failure rate per quarter.
HOW IT WORKS

One command. Zero scripts.

1

Connect

Add one line to your 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

Your 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.

Custom CI Scripts
Rediacc
200+ lines of bash setup scripts
One webhook line. Zero custom scripts.
Fake test data that doesn’t match production
Real production data from an instant copy
15 to 30 min to set up a test environment
52 seconds to copy your entire production stack
Manual cleanup, forgotten environments
Automatic cleanup after pipeline completes
WHY IT MATTERS

What you get

Built-in Git integration

A push builds your environment. Works with GitLab CI, GitHub Actions, Gitea, or any system that sends a webhook.

Production copies in CI

Your tests run on real production data and settings. No more "tests pass, then production breaks" surprises.

Zero maintenance

No custom scripts to maintain, update, or fix. No more paging someone at 2 AM because the CI setup broke.

THE GAP

Fake test data vs. production copies

Every CI platform can spin up containers. None give you a real copy of production with your actual data.

Capability CodespacesCoderVercelRailway Rediacc
Production data in CI copies
One-line webhook integration [3] [4] [5]
Multi-service CI environment [6] [7]
Auto-delete after pipeline [8] [9]
Zero custom setup scripts [10] [11]
Self-hosted / no vendor lock-in [12]
We deleted 400 lines of CI provisioning scripts and replaced them with one webhook config line. Our pipeline went from 22-minute provisions with synthetic data to 52-second production clones. Three months later, we’ve had zero CI-related incidents. Before Rediacc, it was four per month.
BEFORE
400 lines
AFTER
1 line
Zero CI failures · 25x faster provisioning

Simplify your CI/CD pipeline

Start with the free Community edition. Git integration is built in.

Claim Design Partner Free for up to 5 repositories · No credit card required
$ rdc repo fork production ci-build -m primary

Short on time?

Skip the deep-dive. Grab the five-minute version your team can read at a stand-up.

Download short brief (PDF)
Copy any app that runs in a container
Databases, mail servers, CI/CD, CMS, monitoring, logins. If it runs in a container, Rediacc copies it for your pipeline.
Sources & References
  1. Atlassian, DX & Wakefield Research, "State of Developer Experience Report," 2024. "Sixty-nine percent of developers are losing eight hours or more per week to inefficiencies." "For an organization with 500 developers, losing 8 hours per week costs roughly $6.9 million over the course of a year." www.atlassian.com
  2. DORA (Google Cloud), "Accelerate State of DevOps Report," 2024. "Elite performers deploy 182 times more frequently than their low-performing peers." dora.dev
  3. GitHub webhooks deliver HTTP POST payloads for codespace lifecycle events enabling CI/CD integration. docs.github.com
  4. Vercel webhooks support deployment, project, and domain events; deploy hooks trigger deployments from external systems. vercel.com
  5. Railway webhooks notify applications of deployment status changes across all environments. docs.railway.com
  6. Coder templates extend with Docker Compose and Terraform for multi-service CI environments with databases and caches. coder.com
  7. Railway Focused PR Environments deploy only affected services for optimized multi-service CI. docs.railway.com
  8. Stopped codespaces are automatically deleted after a configurable retention period (0-30 days, default 30). docs.github.com
  9. Vercel deployment retention policies auto-delete deployments after a configurable period. vercel.com
  10. Vercel Zero Config works for any framework with a build script requiring no additional configuration. vercel.com
  11. Railway uses Nixpacks for zero-configuration builds that auto-detect language and dependencies. docs.railway.com
  12. Coder is a self-hosted open-source (AGPL v3.0) platform deployed in private data centers or cloud services. coder.com
Product performance claims are based on Rediacc’s btrfs copy-on-write architecture. Calculator estimates use industry-standard cost models; actual costs vary by organization.