Kubernetes as a Service
Deploy, scale, and manage your containerized applications instantly
Enterprise-Grade Kubernetes Platform
Cloud Acropolis Kubernetes as a Service provides a production-ready container platform that enables you to deploy, scale, and manage your containerized applications with ease. Built on industry-leading technologies and best practices, our platform ensures 99.99% infrastructure availability while simplifying your container operations.
Kube-DC Cloud Packages
Dedicated vCPU, Ceph-backed NVMe storage, a dedicated public IPv4 and nested Kubernetes clusters in every package. Choose a longer term to lower the monthly price.
Dev Pool
For development and testing
- 4 dedicated vCPU
- 8 GB RAM
- 60 GB NVMe storage
- 20 GB object storage
- 1 dedicated public IPv4
Pro Pool
- 8 dedicated vCPU
- 24 GB RAM
- 160 GB NVMe storage
- 100 GB object storage
- 1 dedicated public IPv4
Scale Pool
- 16 dedicated vCPU
- 56 GB RAM
- 320 GB NVMe storage
- 500 GB object storage
- 3 dedicated public IPv4
Dev Pool + GPU
- 4 dedicated vCPU
- 8 GB RAM
- 60 GB NVMe storage
- 20 GB object storage
- 1 dedicated public IPv4
- 25% shared NVIDIA V100 (8 GB VRAM)
Pro Pool + GPU
- 8 dedicated vCPU
- 24 GB RAM
- 160 GB NVMe storage
- 100 GB object storage
- 1 dedicated public IPv4
- 50% shared NVIDIA V100 (16 GB VRAM)
Scale Pool + GPU
- 16 dedicated vCPU
- 56 GB RAM
- 320 GB NVMe storage
- 500 GB object storage
- 3 dedicated public IPv4
- 100% shared NVIDIA V100 (32 GB VRAM)
Shared GPU: the memory slice is enforced per workload; the compute share is cooperative, not a guaranteed-performance or security boundary. Shared GPU is for containers and cannot be attached to virtual machines.
Included in every package: nested Kubernetes clusters (KubeVirt), unlimited 1 Gbit/s bandwidth, Ceph storage on NVMe, and 24/7 email and ticket support with a 4-hour MTTR. Prices are in euros per month.
Automated by Default
Kube-DC automates observability, HTTPS, certificate issuance, backups and service lifecycle operations, so you spend your time on applications instead of infrastructure.
One Service Layer
One policy model, quota system and usage view for clusters, virtual machines, storage and GPU. Work from the web UI, the API or kubectl.
Worker Pools
Create a Managed Cluster and size each worker pool by CPU, memory and disk. Control planes are hosted for you and upgrades stay under your control.
Autoscaling
Set autoscaling bounds per worker pool and scale pods with a HorizontalPodAutoscaler. Metrics-server is pre-installed in Managed Clusters.
Utilization
Divide your pool between teams with per-project quotas, and see quota consumption, running workloads and network allocation in one view.
Networking
Every project gets its own VPC. Publish workloads with load balancers, a dedicated public IPv4 and automatic HTTPS.
Storage
Persistent NVMe block volumes for containers and virtual machines, plus S3-compatible object storage with your own credentials.
Deploy straight into a project with its kubeconfig, no cluster needed first, or run Linux and Windows virtual machines on the same network as your containers. Helm, Terraform and GitOps tools work against your project.
Kubernetes Container Orchestration
Deploy containers that automatically scale, heal, and balance across your infrastructure
Container Orchestration
Automatically deploy and manage containers across nodesSelf-Healing
Failed containers are automatically replacedAuto Scaling
Scale pods up or down based on demandEverything You Need for Container Orchestration
Automated Operations
Automated rollouts and rollbacks ensure smooth deployments and instant recovery from errors.
Smart Distribution
Built-in service discovery and load balancing for optimal resource utilization.
Enterprise Storage
Storage orchestration based on Ceph for reliable and persistent data storage.
Auto Recovery
Automatic container recovery and replacement ensures high availability.
Security First
Comprehensive secret and configuration management for sensitive data.
Dynamic Scaling
Horizontal scaling and batch execution for optimal resource utilization.
Optimized Resource Management
Maximize the potential of your virtual machines by automatically allocating containers across available resources. Our platform efficiently manages your resources and cuts down on unnecessary expenses by dynamically scaling your applications on demand.
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Automated container placement
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Resource optimization
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Cost-effective scaling
Simplified Application Deployment
Most open-source and commercial applications are now distributed in a Docker container or Helm chart format, deployable in a single command line on your Kubernetes service. Use our Managed Private Registry solution to host and import your own Helm Chart configuration files and container images.
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One-click deployments
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Private registry support
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Helm chart compatibility
Technical Specifications
Our platform is built for enterprise workloads
Infrastructure
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99.99% Infrastructure Availability
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3-node HA cluster with dedicated vCPU
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Enterprise-grade hardware
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Redundant network infrastructure
Platform Features
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Automated rollouts and rollbacks
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Built-in service discovery
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Load balancing
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Self-healing capabilities
Security & Compliance
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Role-based access control
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Secret management
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Network policies
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Security monitoring
Ready to Deploy Your Containers?
Skip the hassle of installing and maintaining your Kubernetes clusters. Get started today.




