DevOps · tested, approved, reversible
DevOps that makes releasing software boring. On purpose.
Every change, whether an engineer wrote it or an AI agent drafted it, takes the same road: built, tested thousands of times over, approved by a person, then deployed and watched. It's how two of our engineers rebuilt a manufacturer's entire ERP in about five months, and how we keep the systems we host for our clients running.
Watch a release
Our DevOps pipeline: every change takes the same road to production
Nothing reaches your users until it has been built, tested, checked against our design rules and approved by a person. And if something still goes wrong, we see it quickly and step back to the last good version while we fix it.
- 01✓!↺
Build
Compiled from scratch. Every warning, including package security advisories, counts as an error.
- 02✓!↺
Test
The whole automated suite runs on every change, against a real database.
8,900 tests
- 03✓!↺
Design rules
Architecture checks catch the mistakes tests can't see: layering, naming, contrast, keyboard access.
75+ gate files
- 04✓!↺
Approval
Nothing goes to production until an engineer signs off.
- 05✓!↺
Deploy
Argo CD rolls the new version out on Kubernetes.
- 06✓!↺
Watch
Sentry and uptime monitors report problems straight to us.
when a release misbehaves
Spotted, rolled back, fixed
Tests can't catch everything. When a release starts throwing errors, Sentry shows us, often before anyone has reported it. We step back to the last good version, fix the cause, and send the fix down the same road, with every check running again.
An illustrative run. The stages, checks and test counts are the real ones behind Quest Industries' ERP.
What Every System We RunGets
The same setup behind every client system we build and host. Not an upgrade, just how we work.
Automated Releases
Every change is built, tested and deployed by a pipeline (Azure DevOps or GitHub Actions, with Argo CD), never copied onto a server by hand.
Tests at Every Level
Unit, integration and architecture tests run on every change, and we walk every major feature by hand, the way a real user would.
Error Tracking
Sentry records every error with the detail needed to fix it, and we triage production errors as they come in.
Downtime Monitoring
Uptime monitors check your system around the clock and alert us the moment it stops answering.
Containers and Kubernetes
Each service runs in its own container on Kubernetes, managed with Rancher, so it can be scaled, moved or restarted cleanly.
A Person Signs Off
Automation does the checking and people make the call: a production release needs an engineer's approval.
CI/CD Pipelines We Built for RealClients
What the problem was, what we did, and what changed.
Quest Industries
Mold tooling and machining, Michigan
Problem: Quoting and jobs ran on an old ERP, a workflow platform and Excel workbooks, on servers in the building that needed replacing every four to five years.
What we did: Two engineers working with AI agents built one system to replace them, shipped through GitHub Actions and Argo CD to Kubernetes, with about 8,900 automated tests and a sign-off before production.
Result: 1,875 code changes in five and a half months, and the shop now sends quotes from the new system every day.
Petra Medical College
Healthcare career college, Arkansas
Problem: A previous firm had spent two years on their online school with little to show for it.
What we did: Built staff, partner and student portals and a public site, with a Kubernetes pipeline on Rancher and Argo CD that let us ship changes quickly through the final months.
Result: Delivered in five months, on time and under budget. We host and run it today.
American Allied Health
Online healthcare training
Problem: Two years with an outside firm had produced minimal progress on a new online school.
What we did: Built the courses, exams, certificates and partner portal, and handled the DevOps: everything containerized and deployed through Azure DevOps and Argo CD to our own cloud.
Result: Delivered in seven months, and average monthly revenue rose more than 20% after launch.
Pacific Southwest Container
Packaging manufacturer, 1,000+ employees
Problem: Recycling pickups, logistics and food-safety audits ran on spreadsheets and email.
What we did: Built three apps, used from forklift-mounted computers on the floor, with AI-assisted development and our streamlined DevOps process.
Result: All three delivered on time and under budget. We host and run them for PSC.
Sell Your Boards
Electronics recycling buyback
Problem: The business ran on a Squarespace site, emailed orders and payout spreadsheets.
What we did: Built a self-service platform with a Vercel front end, a containerized back end on our infrastructure, and Sentry error monitoring.
Result: Switched over with zero downtime, then 47 orders and $4,171 paid out in the first week.
LeadStack
Our own CRM for lending and marketing teams
Problem: Prime, the CRM we built for lenders like CashCall and New American Funding, was never designed to be cloud-native or to serve many companies at once.
What we did: Rebuilt it as LeadStack: more than 50 containerized services on Kubernetes and Docker, released through a CI/CD pipeline, with built-in health checks and alerting.
Result: Each service scales on its own, and every event is recorded for a full audit trail.
Bringing it to your team
From "who deployed this?" to a pipeline you trust
Most teams we meet ship by hand: a few people who know the steps, a server nobody wants to touch, and a nervous evening after every release. Here's how we change that.
- 01audit
See how you ship today
We trace how code gets from a developer's laptop to your users, and where it hurts: manual steps, missing tests, surprise outages.
- 02pipeline
Automate the road
Builds, tests and deployments move into a pipeline, so every release happens the same way, every time.
- 03tests
Test where the risk is
Unit and integration tests on the code that handles money, stock and customers first, then architecture rules and hand-walked use cases.
- 04containers
Package it to run anywhere
Each service goes into a container, so it runs the same on a laptop, in testing and in production, on our cloud or yours.
- 05monitor
Watch it in production
Sentry error tracking and uptime monitoring, wired to the people who can actually fix things.
- 06run
Hand it over, or let us run it
Your team can take it from there, or we keep running it for you, as we do for most of our clients.
code changes to Quest's ERP in five and a half months, none deployed without passing the full suite
bugs the automated tests had missed, found on the first hand-walk of Quest's workflow engine
months to deliver Petra Medical College's platform, after another firm spent two years
containerized services in LeadStack, our own CRM, running on Kubernetes
Figures from our Quest Industries, Petra Medical College and LeadStack case studies.
Delivered, then kept running
American Allied Health came to us after two years with another firm and little to show for it. We rebuilt their online school, containerized all of it and set up the pipeline that ships it. It went live seven months later, and we still host and run it.
They surprised us multiple times throughout the journey and hit the milestones quicker than we thought.
Make your next release a non-event.
Tell us how your team ships software today. We'll show you where a pipeline, tests and monitoring would save you the most pain, and what it would take to get there.
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