Service
A fully managed Kubernetes practice running inside your own data centre, on BKE.
Engagement
On request
Pricing reflects cluster count, SLA tier and on-call coverage. We quote against your inventory.
Begin an engagement ← All servicesA fully managed Kubernetes practice, delivered inside your own data centre on the Bahriya Kubernetes Engine. We install the clusters, operate them around the clock, and remain accountable for their uptime — while every byte of data, every secret and every workload stays inside your perimeter and under your regulator. It is the operational model of a hyperscaler, with the sovereignty model of your own server room.
This is the same engineering and on-call practice that runs bahriya.cloud, pointed at your hardware. You get the day-to-day reliability of a managed cloud platform without ever surrendering custody of the systems running on it — an option no hyperscaler can offer, and one that few global vendors are willing to staff from inside the GCC.
What you get
Ideal for
Regulated institutions, sovereign-cloud programmes, and enterprises that need hyperscaler-grade Kubernetes operations without surrendering data custody.
The engagement
Regulated organisations in the Gulf are routinely asked to satisfy two requirements that appear to conflict. The data, and increasingly the control functions that act on it, must remain inside the country and inside the institution's own custody. At the same time the platform running on it has to be operated to the standard of a managed cloud service, because the institution's own availability commitments do not soften on the grounds that it chose to host its own infrastructure.
Managed Kubernetes on premise resolves that by moving the operations rather than the data. The clusters are installed on your hardware, in your data centre, behind your firewall. We operate them: monitoring, on-call response, capacity planning, upgrades, CVE patching, backup and audited restore drills. Nothing leaves the building for us to do any of it, and a single named principal engineer is accountable for the outcome.
It is the same engineering practice, the same distribution and the same on-call rota that runs bahriya.cloud, our own public cloud, pointed at your hardware instead of ours. We are not assembling a managed service to sell you. We are operating the one we already run.
Responsibility
The most common failure of a managed engagement is not technical. It is an outage in which both parties believed the other was responsible for a component. The split below is agreed in writing before the first cluster is installed, recorded as a RACI matrix, and revisited at each architecture review.
Onboarding
Stage 01
Stage 02
Stage 03
Stage 04
Stage 05
Comparison
An organisation that needs Kubernetes operated to a production standard, with its data inside national borders, has three realistic options. Each is legitimate; they differ in what they ask of you.
The strongest long-term position, and the slowest to reach. It requires hiring several scarce engineers into a market that is competing for them, retaining them, and covering a rota with them. Organisations that succeed at this should do it. Many discover eighteen months in that they have one engineer and a single point of failure.
A licence from a global vendor, negotiated per customer and usually priced per core, with support delivered from wherever that vendor's engineers are. It solves the software problem. It does not solve the operations problem, which remains yours, and the support jurisdiction may not be one your regulator accepts.
The distribution and the operations from one accountable party, resident in the GCC, working inside your perimeter, at a flat licence per cluster regardless of size. You gain a platform without building a department, and you do not surrender custody of anything to get it.
Questions
The rest of the practice
The same engineers deliver all five. Most engagements begin as one of them and become another once the estate is understood.
A senior architect on call, paid for by the day.
Read the engagement model →Strategy, architecture and platform design for Kubernetes done properly.
Read the engagement model →Custom operators, charts, controllers and the long maintenance tail.
Read the engagement model →A Kubernetes support contract with named engineers and a defined response time.
Read the engagement model →Small teams. Plain contracts. Real architects.