Products · Managed Kubernetes on HyperEdge 500

Sovereign Kubernetes. Inside your borders.

Managed Kubernetes running on top of HyperEdge 500 — upstream K8s, no proprietary fork, no per-cluster licence fees, and a control plane that stays in the country your workloads run in. The cluster your engineering team already knows; the sovereignty posture your CISO and regulator already require.

K8s 1.31+upstream — no proprietary fork
$0per-cluster licence fees
In-countrycontrol plane stays sovereign
4DC regions: KSA, Egypt, EU

What changes for you

Three things K8s buyers care about

Hyperscaler managed K8s solved the operational toil — and replaced it with a different problem: a control plane that lives outside the regulated perimeter, egress economics that punish data-heavy workloads, and a slow drift toward provider-specific extensions you can’t unwind.

Sovereign control plane

etcd, API server, controller-manager, and audit-log infrastructure all run inside the country your workloads do. No quiet failover into a foreign region. Designed for SAMA, NCA, and PDPL controls.

Upstream Kubernetes

Standard K8s 1.31+, no proprietary distribution, no provider-specific CRDs you can’t migrate off. Your manifests run unchanged on any compliant cluster — exit and portability are real options.

Operated alongside you

Direct support from MomentumX engineers in Cairo and Riyadh — same Slack channel as your platform team. Patching, upgrades, observability, on-call coverage scoped into the standard service.

Side-by-side

Managed K8s vs EKS / GKE / AKS

Hyperscalers built the category. They also priced and architected it for global, not regional, buyers. Where sovereignty, egress economics, or local support matter, MomentumX is the cleaner fit.

CapabilityMomentumX Managed K8sAWS EKS / GKE / AKS
Control plane locationIn-country (Cairo · Riyadh · EU)Hyperscaler region of choice
Licence modelNo licence fees — capacity-basedHourly per-cluster + per-node
Kubernetes versionUpstream K8s 1.31+ (no proprietary fork)Provider-managed distribution
Egress costsBundled regional bandwidthPer-GB egress, can dominate TCO
SovereigntyDesigned for SAMA, NCA, PDPLCustomer must architect
Vendor lock-inNone — standard kubectl, full portabilityHigh — provider-specific extensions
Local supportCairo + Riyadh, direct engineer lineDistributor-routed escalation

Hyperscaler K8s makes sense — until your egress bill arrives. Then it doesn’t.

Data-heavy clusters — analytics pipelines, AI training, video processing, telco workloads — typically see 30–50% TCO reduction on MomentumX vs an equivalent hyperscaler region, before counting egress for backup or DR. The bill in year three matches the bill in year one.

30–50%
TCO reduction vs hyperscaler K8s

Workloads we run

What teams build on this

Patterns operating today across MENA platform teams running on MomentumX-managed clusters.

Stateful enterprise apps

ERP modules, banking core extensions, regulated SaaS deployments. Storage classes backed by HyperEdge 500 distributed storage, with snapshot-based DR built into the platform.

ML + AI pipelines

Training and inference workloads orchestrated on K8s, running on HyperEdge 500 (CPU) and HyperAI (GPU H100/A100). Sovereign GPU compute for sensitive training data.

Microservices platforms

Service-mesh, ingress, observability, multi-tenant control plane. Compatible with your existing GitOps, CI/CD, and observability stack — no proprietary control plane to integrate with.

Telco-grade workloads

5G core network functions, mobile edge compute, telco analytics. Latency-sensitive, residency-sensitive — runs where the regulator says it should.

CI/CD + developer platforms

Internal developer platforms, build runners, self-service environments. Per-namespace quotas, RBAC integrated with your identity provider, cost transparency by team.

Batch + data processing

Spark, Flink, Argo Workflows, Airflow. High-throughput jobs that benefit from regional bandwidth pricing and predictable cluster economics.

FAQ

What platform teams ask first

Is this upstream Kubernetes or a proprietary distribution?
Upstream K8s 1.31+. No proprietary fork, no vendor-specific CRDs you can’t migrate off. Standard kubectl, standard Helm, standard manifests. Your existing tooling works without modification.
How does the cluster sit on top of HyperEdge 500?
HyperEdge 500 is the underlying compute, storage, and network platform. Managed Kubernetes runs as a service on top — control plane in HyperEdge, worker nodes drawn from HyperEdge capacity, storage classes mapped to HyperEdge storage. Same cluster, fully integrated.
Can I run GPU workloads on this cluster?
Yes — GPU node pools backed by HyperAI (NVIDIA H100/A100). Standard NVIDIA device plugin, standard taints/tolerations, standard PodSpec resource limits. Sovereign GPU inference and training without leaving the cluster.
What about CNI, CSI, ingress — what’s the supported stack?
Standard CNI (Calico or Cilium), standard CSI for storage, NGINX or Traefik for ingress. Service mesh (Istio, Linkerd) supported as add-ons. Customer’s existing stack typically works without modification.
How is the SLA structured?
99.95% control-plane availability for production-tier clusters. Worker-node availability tracks underlying HyperEdge SLA. SLO targets and credits documented per cluster — no hidden carve-outs.
Can I migrate from an existing EKS / GKE / AKS cluster?
Yes. Migration support is included for new customers. Workload assessment, manifest review (most apps are lift-and-shift), parallel-run cutover, DNS switch. Typical migration: hours to days, not weeks.

Get the K8s cluster your CISO and your platform team both sign off on.

A 30-minute discovery call covers your current cluster footprint, residency requirements, integration points, and the cleanest migration path. Architecture conversation, not buzzwords.