Kubernetes for managed platform scale
Operate container platforms with managed clusters, autoscaling, observability, storage classes, and multi-environment controls tuned for modern application teams.
Deployment blueprint
What teams get on day one
Managed control plane lifecycle
Reduce upgrade and patch overhead while keeping cluster foundations aligned with platform standards.
Horizontal and cluster autoscaling
Scale pods and nodes automatically based on real demand instead of fixed-size infrastructure estimates.
Integrated ingress and networking
Expose services, secure internal traffic, and keep routing behavior consistent across clusters and environments.
Managed
control plane ops
Auto
pod and node scaling
Built-in
monitoring baseline
Multi
cluster visibility
Trusted across clouds, registries, and toolchains
Choose how you run it
Flexible engagement options
Pick the deployment surface and the level of operator help that matches your team. Switch later as you grow.
Managed clusters on VxCloud
Multi-tenant, autoscaled, highly available
- CNCF-conformant Kubernetes 1.29+ with managed control-plane upgrades
- Autoscaling node pools across AWS, Azure, GCP, Linode, and bare metal
- Built-in ingress, cert-manager, observability, and GitOps integration
- Per-cluster SLA: 99.95% control-plane uptime, 24/7 platform on-call
BYO control plane
You operate it; we observe and advise
- Connect existing EKS, AKS, GKE, OpenShift, or vanilla clusters
- Single management plane for policy, cost, and security across providers
- CIS-benchmark scanning and Kubernetes upgrade planner included
- Bring-your-own networking, ingress, and storage classes
Air-gapped on-prem
Sovereign, fully isolated installs
- Deploys onto your hardware (HPE, Dell, Supermicro) with Talos or Ubuntu
- Offline image registry mirror; no outbound internet dependency
- FIPS 140-3 cipher suites and signed kernel modules
- Optional dedicated platform engineer for the lifetime of the install
Dedicated cluster appliance
Single-tenant cluster on shared infrastructure
- Hardware-isolated nodes, not virtualized — no noisy-neighbor risk
- Choose your region, kernel, and CNI; we manage upgrades on your cadence
- Compliance-ready: SOC 2, ISO 27001, HIPAA, PCI DSS evidence per tenant
- Predictable monthly pricing with no per-pod or per-API-call charges
Core capabilities
Purpose-built for modern engineering teams
Managed control plane lifecycle
Reduce upgrade and patch overhead while keeping cluster foundations aligned with platform standards.
Horizontal and cluster autoscaling
Scale pods and nodes automatically based on real demand instead of fixed-size infrastructure estimates.
Integrated ingress and networking
Expose services, secure internal traffic, and keep routing behavior consistent across clusters and environments.
Persistent storage classes
Attach the right performance and durability profile to stateful workloads without manual volume choreography.
Cluster observability baseline
Track health, resource pressure, and service reliability with metrics and dashboards that work from day one.
Multi-cluster governance
Operate dev, staging, regional, or customer-dedicated clusters from one management model instead of ad hoc scripts.
Delivery flow
How teams adopt kubernetes
The platform is designed to reduce setup friction, standardize delivery, and give every team a clear operating model from day one.
Create clusters from standard blueprints
Launch environments with networking, node pools, security defaults, and storage classes already aligned to platform policy.
Deploy workloads with controlled rollout paths
Promote services through namespaces and environments using traffic policies, autoscaling, and release guardrails.
Operate clusters as products
Monitor usage, upgrade cadence, and tenant needs so the cluster platform evolves predictably as application demand grows.
Where teams get stuck
Common challenges — and how we solve them
Challenge
Cluster sprawl: dev, staging, regional, and customer-dedicated clusters multiply faster than the platform team can keep them upgraded.
How VxCloud solves it
One management plane shows every cluster, its Kubernetes version, drift from policy baselines, and a click-to-upgrade path with rolling node-pool replacement.
Challenge
Autoscaling fights itself — HPA, cluster-autoscaler, and Karpenter conflict and produce thrashing or unschedulable pods.
How VxCloud solves it
Pre-tuned autoscaling profiles per workload class (web, batch, GPU, stateful) with circuit breakers that stabilize node churn during bursts.
Challenge
Day-2 operations — upgrades, etcd backups, certificate rotation — eat the platform team’s sprint capacity.
How VxCloud solves it
Managed control plane handles upgrades, etcd snapshots, certificate rotation, and CVE patching on a published cadence with maintenance windows you control.
Challenge
Security teams cannot prove what is running where, or whether a CVE has been remediated across every cluster and namespace.
How VxCloud solves it
Continuous SBOM and CVE scanning per image, per cluster, per namespace, with one-click remediation tickets and audit trail for compliance evidence.
Use cases
High-impact scenarios teams run on VxCloud
Platform engineering foundations
Provide internal teams with a standard container orchestration layer that is easier to consume and safer to operate.
Bursting microservice estates
Handle workload spikes and service sprawl without hand-managing infrastructure for each application team.
Regional or tenant isolation
Separate sensitive, dedicated, or geo-specific workloads while preserving one operating model for cluster management.
Integrates with your existing stack
Bring current tooling forward instead of rebuilding workflows. Standard integrations are available immediately, with deeper automation on top.
Operator outcome
Teams get a sharper developer loop, stronger governance, and a cleaner production handoff without adding separate point tools to manage.
Real-world scenarios
Where kubernetes earns its keep
Multi-region SaaS platform
Run a customer-facing SaaS across three regions with traffic-aware failover, tenant data residency, and a single dashboard for capacity and reliability.
AI/ML inference fleet
Schedule GPU workloads across spot and on-demand pools, scale to zero between bursts, and route traffic to the cheapest healthy replica.
Hybrid edge deployments
Deploy lightweight clusters into retail, factory, or telco-edge sites with central policy push and intermittent-connectivity-tolerant GitOps reconciliation.
Internal developer platform
Offer service teams a paved-road experience: namespace provisioning, golden Helm charts, secrets, and observability are all wired up by template.
Regulated tenant isolation
Give regulated customers (HIPAA, PCI, GovCloud) dedicated clusters with shared operating model — same dashboards, same upgrades, isolated data plane.
Cost-controlled bursting
Burst non-critical workloads to spot instances or a secondary cloud during traffic spikes, with budget-aware throttling and per-namespace chargeback.
Talk to the Kubernetes team
Run Kubernetes without the operational tax
Tell us about your cluster footprint — we will map it to a managed, BYO, or dedicated model and walk you through what migration looks like.
- Architecture review against your current cluster topology and traffic shape
- Migration plan with zero-downtime cutover for stateful workloads
- Cost-comparison report against your current EKS/AKS/GKE bill
- Compliance package: SOC 2, ISO 27001, HIPAA BAA, PCI DSS evidence
Build the next workflow on top of Kubernetes
Start in minutes with VxCloud-managed infrastructure, AI-assisted setup, and a production-ready baseline your team can extend safely.