No. AI automates the repetitive parts of DevOps, like triaging alerts, spotting anomalies, and drafting scripts, but it does not design systems, own incidents, or make judgment calls. It changes the job rather than removing it, and demand for skilled engineers keeps growing.

Our AI in DevOps work uses AI to cut alert noise and speed up root-cause analysis, so engineers spend less time firefighting and more time improving the platform.

Teams that treat AI DevOps as a force multiplier ship faster with fewer incidents. Engineers stay, make the calls, and the tools handle the busywork.

DevOps as a Service usually costs less than a senior in-house hire, because you pay for results rather than salary, benefits, recruiting, and ramp-up. A senior DevOps engineer in the US costs well over six figures all in, before you cover holidays or on-call gaps.

Pricing is tied to the responsibility you hand over, not headcount, so you start with a right-sized scope and scale as needed, with a clear number after a short audit. A startup might hand over a single pipeline, while a scaling SaaS hands over the whole platform. You get a clear number before any work starts, and it can flex month to month as your needs change.

The bigger saving is often reliability: fewer failed releases and shorter outages protect revenue, and one team removes the overhead of coordinating separate contractors.

Yes. We work inside your existing AWS, Azure, or Google Cloud account and pipelines, so there is no forced rebuild or migration you didn't ask for. We learn your setup first, then improve it in place, one safe change at a time. We start with a short discovery of your accounts, pipelines, and access, part of our DevOps consulting services, before we change anything.

If your pipelines are solid, we take over and harden them; if they are messy, we clean them up in stages with no downtime, with scoped access and every change reviewed and logged.

We can also run a hybrid model, where your team keeps some ownership, and we cover the rest. If you ever bring DevOps back in-house, you leave with clean documentation and no lock-in to us.

It handles your software delivery: pipelines, cloud infrastructure, releases, and the monitoring around them, while managed IT services cover general IT like devices, networks, and a helpdesk.

The two rarely overlap, and many companies use both. If you already have a managed IT provider, we handle software delivery while they manage endpoints and networks.

Put simply, this service keeps your product shipping and running, while managed IT keeps your staff and office online. Clear ownership on each side prevents overlap.

We provide named on-call ownership with agreed response times, so a real person is accountable when something breaks. Alerts route to the on-call engineer, who follows a runbook to contain and fix the issue, then reports back to your team. Our AI in DevOps tooling triages and prioritizes those alerts, so the ones that matter surface first.

After any major incident, we run a blameless postmortem and turn lessons into monitoring or a permanent fix, so the same problem doesn't page you twice. Coverage runs from business hours to full 24/7, so your own engineers stop carrying the pager alone.

You get clear response targets in writing and full visibility through dashboards and incident reports. Your team can hand off the pager entirely or share it with us.