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Guztia AI Infra Ops

Guztia /Services /Kubernetes

Platform

Kubernetes & Container Platforms

Container platform design and the day-to-day operation that keeps one from becoming the problem it was brought in to solve. Including, increasingly, running AI workloads on capacity you already pay for.

01 The honest position

Kubernetes is the right answer when you already run one, when you have enough distinct services to justify the scheduling, or when expensive capacity has to be shared between teams with competing priorities. It is the wrong answer when you have one application and two servers.

We are entirely willing to tell you that on the first call. A platform you did not need is an outage source you did not need either, and the number of organisations operating a cluster because it seemed like the professional choice is not small. Talking clients out of one is a service we provide at no charge.

Where it is the right answer, the work that matters is not the installation. It is everything after: upgrades that do not break things, capacity that scales down as well as up, and somebody who answers when it does not.

Design
Managed control planes on any major platform, with the network, access model and workload layout designed for your situation rather than accepted as delivered.
Day-two operations
Upgrades, certificate rotation, capacity management and incident response — the unglamorous work that decides whether a cluster is an asset or a liability.
Cost control
Right-sizing, discounted and interruptible capacity where it is safe, scale-to-zero for batch work, and a chargeback model so departments can see what they consume.
Migrations onto it
From virtual machines, from a simpler container setup, or from a cluster somebody built years ago and nobody has upgraded since.
Change control
Platform state held in your repository so a change is a reviewable request rather than somebody's recollection of what they did.
AI workloads
Where you already run a cluster, it is frequently the cheapest place to put the capacity that replaces metered AI billing. See why self-host.

Usually bought as an ongoing arrangement, not a project.

A cluster built and handed over drifts within two quarters. Most clients take the design work and the operational agreement together, with a named engineer and a written availability commitment.

See what your AI actually costs.

Thirty minutes, free, no deck. Bring whatever you know about what your teams send to model APIs — even a rough monthly number is enough. You leave with a view on what a gateway, routing and cost visibility would look like for your organisation.