Kubernetes as a Service
Your team will get
An environment for running containerized applications without deploying your own platform or purchasing hardware
The PARKOVYI Data Center team manages the Kubernetes infrastructure, allowing your specialists to focus on business priorities
Computing resources can be scaled up based on the number of users, product growth, or temporary increases in workload
The cluster is deployed in accordance with project requirements, Ukrainian law, relevant certifications, and access policies to ensure stable operation
Use standard Kubernetes tools, container images, and CI/CD processes without changing your existing development workflows
The certified technical team at PARKOVYI Data Center provides guidance and assistance with environment configuration, service integration, and platform scaling
Who Is This Solution For?
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Companies Developing Digital Products
For SaaS platforms, mobile and web applications, marketplaces, customer portals, API services, and other products that require regular updates and flexible scaling.
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Enterprise Companies
For modernizing enterprise systems, transitioning from monolithic architecture to microservices, and creating a unified environment for multiple development teams.
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FinancialSector and E-Commerce
For services with fluctuating workloads, high transaction volumes, multiple integrations, and increased requirements for infrastructure stability.
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Public Sector and Critical Infrastructure
For deploying containerized systems in local cloud infrastructure with controlled data residency.
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IT Companies and Systems Integrators
For quickly creating environments for client projects, testing new solutions, and launching managed services without building your own Kubernetes platform.
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Teams Implementing AI
For containerizing AI services, deploying models, running inference APIs, processing data, and managing compute workloads.
How It Works
Define Requirements
Design the Configuration
Deploy the Kubernetes Cluster
Integrate Corporate Services
Migrate Applications to the New Environment
Scale Resources as the Project Grows
Integration with PARKOVYI Data Center Services
Kubernetes as a Service can be part of a comprehensive cloud or hybrid infrastructure strategy.
Compute, network, and storage resources for hosting Kubernetes clusters.
Protection of application configurations and data according to the agreed backup strategy.
Storage for backups, logs, media files, datasets, processing results, and large volumes of data for AI projects.
GPU resources for training, fine-tuning, and running AI models.
Flexible and secure microservices architecture for companies that need advanced capabilities for development, security, centralized management, and automation.
With standard IaaS, the customer receives virtual compute resources and is responsible for installing and maintaining Kubernetes independently. With KaaS, the customer gets a ready-to-use Kubernetes environment with support for the underlying infrastructure.
Yes, if the applications are already containerized or can be prepared to run in containers. Before migration, dependencies, network integrations, storage, and security requirements should be reviewed.
The PARKOVYI Data Center team supports the agreed infrastructure layer of the service. The customer manages their own applications, containers, configurations, and development processes. Areas of responsibility are defined in the service description.
Yes. Kubernetes can be integrated with the customer’s existing development workflows, container image registries, and CI/CD systems
The hosting location is determined during the solution design stage. The infrastructure can be deployed at PARKOVYI Data Center facilities in Ukraine or in a cloud environment in the EU.
Yes. Kubernetes can be used to deploy AI models, inference APIs, AI data processing workloads, and other containerized AI components. For resource-intensive tasks, the cluster can be integrated with the Cloud for AI Workloads.
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