The model in short
A dedicated engineer, not a rotating support desk — they know your system.
No minimum and no tiers. You pay for the hours used in a given month.
Unused hours roll over to the next month.
One-hour response to production incidents, around the clock.
White-label for agencies: an NDA and a non-compete covering your clients.
Who this is for
Software houses and agencies
You have client projects in production but no in-house DevOps — or you have exactly one and they are your single point of failure. We step in as your DevOps team, under your brand.
Companies with their own product
The development team is there, but nobody owns infrastructure, deployments and what happens when traffic triples. We take that part over.
White-label DevOps for agencies
We work under your brand, on your stack, in your tools. To the end client we are your team — we do not appear in emails, on calls or in contracts unless you want us to.
On top of that, two things that are an entry condition for an agency rather than a formality:
- An NDA covering everything we see in your clients' code and infrastructure.
- A non-compete — we do not take on your clients, during our engagement or after it ends. We do not poach the clients you entrust to us.
That is how we work with three teams today. The shortest of those engagements has been running for over two years.
Response times and billing rules
Declared, not indicative.
The first 30 days — an audit before we change anything
We do not start by rolling out tools, but by understanding what you have and where it breaks first.
Infrastructure audit
What runs, where, on what, and who has access to it.
Code and architecture review
How the application is built and which parts of it limit scaling.
Automation opportunities
What is done by hand on every release and how much of it can go.
Scaling assessment
How the system behaves under traffic heavier than today's peak.
What we fix first, most of the time
In most systems we take over, problem number one is scaling. The application behaves under typical traffic and falls over exactly when the traffic that matters most arrives: during a campaign, in season, after a launch.
The cause usually is not in the code, but in the system running on too few instances with no mechanism to add more as load grows. Nobody sees it until the first peak.
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Example: an application that fell over at peak
The situation. The application collapsed under a rush of users. Heavier-than-usual traffic was enough to stop it responding — precisely in the moments when it generated the most value.
What we did. An architecture audit showed where the throughput limit sat. We rebuilt the runtime layer so the number of instances follows load instead of being fixed.
The result. The system now handles more than 50 times more concurrent operations than before the changes.
Scope of work
Automation and CI/CD
Releases with no manual steps, reproducible environments, and rollbacks without panic.
Scaling and performance
Resources matched to real load, so a traffic peak is a technical event rather than a business one.
Business continuity
Monitoring, alerting and backups that somebody has actually tested.
Incident support
24/7 on call with a one-hour response to production incidents.
Cloud strategy
Choosing and configuring AWS, Azure or Google Cloud around what you actually run, not around a vendor's price list.
Stack and clouds
We work on AWS, Azure and GCP. With white-label clients we work on their stack and in their tools — we do not require a migration to our standards before we can start.
What it costs
We set the rate after the audit, because only then do we know what we are talking about. Keeping a stable system running and rescuing infrastructure nobody has touched in two years are two different scopes and two different quotes.
The audit is the starting point for the rate conversation — it does not commit you to working with us.
Start with an audit
We will show you where your infrastructure breaks first — and what leaving it as it is costs you. The audit does not commit you to anything further.
