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Kubermatic Kubernetes Platform

Quickly achieve cloud native transformation without the burden of infrastructure management

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Freshly Released

KKP 2.28 is out!

Meet KKP 2.28: More Security and Control with Kyverno Integration

Discover what’s new in KKP 2.28: Kyverno integration, global viewer role, Kubernetes 1.33 support, improved backups with Velero, and more.

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Latest Features

  • AI Power for Infrastructure Operation

    KKP leverages AI-driven automation with AI Kit for seamless deployment of AI, GenAI, and LLM workloads at scale, optimizing performance for both CPU and GPU. Additionally, K8sGPT is integrated as a default application and CLI tool within the web terminal, enhancing cluster debugging by bringing AI-powered insights closer to human understanding.

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  • Automated Kubernetes Backups

    Leveraging Velero and the Kubernetes API, it ensures seamless backup, recovery, and migration across on-premises and cloud environments. With the latest KKP update, users can now restore cluster backups to a completely different KKP instance, providing greater flexibility for disaster recovery, environment transitions, or planned migrations.

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Vanilla Kubernetes

  • 100% kubernetes compliant.
  • Kubernetes version compliance within 4-6 weeks.
  • Support for Kubernetes 1.30, 1.31, 1.32, and 1.33, enhancing security and stability.

Multi-tenant Architecture

  • Separate cloud providers and preset environments by organizational units.
  • Datacenter separation – decide where the data is stored.
  • Multi-cluster separation lowers effort for in-cluster policy enforcement.
  • Support for Static Labels on Clusters that allows the tagging of immutable metadata to clusters, facilitating more consistent management across multi-cluster environments.

Identity and Access Management

  • Streamline authentication and access control, user and team management, enterprise security and operational observability.
  • Deploy securely provisioned clusters with blueprints and presets to keep developers within company policies.
  • Audit Logging Webhook Backend for improved security and compliance monitoring, which allows routing of audit logs to external systems.

Automated kubernetes lifecycle management

  • Provision, scale, update, and clean up of clusters with just an API call.
  • Automatic roll out and roll back of upgrades.
  • Templatized workflows for repetitive tasks.
  • Migration from Machine-Controller Userdata to OSM, which improves the management of OS-level configurations, resulting in smoother operations.

Backup & Recovery

  • Centralized multi-cluster and multi-cloud backup handling- select from daily, weekly, monthly or customized as backup options.
  • Customizable backup locations - Multiple backup destinations from the UI Admin Panel.
  • Gzip Support for ETCD Snapshots, which optimizes backup storage by reducing the size of snapshots, speeding up the process.
  • Enhanced Cluster Backup: Restore to different KKP instances for flexible recovery and migration.
  • Upload backup files directly from the UI to your configured S3 bucket for faster recovery workflows.
  • Label backup objects with their source to simplify organization and retrieval.

Artificial Intelligence and GenAI for Infrastructure Operation

  • Next Level Cluster Debugging with K8sGPT which has been integrated to KKP as a default application and also to the web terminal feature as a CLI tool.
  • Effortless Nodes Management with NVIDIA GPU's and other specialized devices through Kubernetes' device plugin framework.
  • Flexibility, Automation & Increased Efficiency: AI-Native Infrastructure Platform, specifically designed to utilize AIOps to ensure optimal operator and end-user experiences.
  • AI Kit in KKP: Effortlessly deploy AI, GenAI, and LLM workloads with optimized performance for both CPU and GPU workloads. AI Kit simplifies running inference and fine-tuning machine learning models, supports multi-modal models, and provides air-gapped environment compatibility.

Free choice of infrastructure stack

  • Native support of AWS, Azure, GCP, DigitalOcean, Alibaba Cloud, OpenStack, VMware, Bare Metal Provider Support with Tinkerbell Integration, and more.
  • Fast switching between clouds / on-prem by using one common default layer.

Multi-cloud abstraction layer

  • Abstract cloud dependencies from the cluster consumer using preset environments.
  • Centralized multi-cluster Logging, Monitoring, and Consumption Metering.

Kubernetes Application Management

  • Deploy any third-party application on a user cluster, with a few clicks.
  • After installation, applications can be reconciled to ensure reliability.
  • Default Applications Management for automatically installing preconfigured applications on new clusters, ensuring consistency and reducing setup time.
  • Cluster Autoscaler as an Application for flexible scaling management.

Self-service portal

  • Deliver Kubernetes-as-a-Service to end users.
  • Powerful & intuitive dashboard to visualize Kubernetes deployment.

Kyverno Integration for Policy Management

  • Kyverno integration provides a Kubernetes-native way to define and enforce policies.
  • Platform Admins and Project Owners can manage policies directly as Kubernetes resources.
  • Default policy templates and UI support make it easy to get started with governance.

CNI: Choose or Bring your Own

  • Users can choose between the two most popular CNIs: Canal and Cilium.
  • Additionally, users can simply add and manage a CNI of their choice.
  • Allow eBPF Proxy Mode When CNI is None, which adds flexibility for handling network traffic when a CNI is not needed.

Single Platform to Manage Virtual Machines on Bare-Metal

  • Eliminate the need to run dedicated platforms to manage virtual machines on-premise.
  • Provision multiple kubernetes clusters on VMs on-premise with KubeVirt Cloud provider.
  • Enhanced multi-tenancy support with a new mode that allocates all KKP resources (e.g., VMs, volumes, load balancers) within a single KubeVirt namespace. This approach improves management and isolation, allowing multiple KKP instances to run on a shared KubeVirt infrastructure.
  • Support for vCPU and CPU allocation ratio configuration for KubeVirt VMs for better resource utilization.

Complete Control Over Hybrid & Edge Deployments

  • Operating System Manager (OSM) is responsible for creating and managing the required configurations for worker nodes in a Kubernetes cluster.
  • Support for Enabling Cloud Drive on OpenStack VMs and Supporting VM Groups in vSphere for enhanced VM management in edge or hybrid environments.

Dual Stack Support

  • Kubernetes resources can have both an IPv4 and IPv6 address.

Kubernetes Monitoring Tools

  • Monitor health and resource consumption with built-in Prometheus and Grafana.

Full Lifecycle Management

  • Upgrade your control plane and nodes without disruption and roll back as you need.

Integrated AddOn Controller

  • Easily add any additional software, configuration, or policy into clusters.
  • Automate Addon Maintenance, which ensures regular updates to add-ons without manual intervention, enhancing security.

Whitelabel with KKP

  • Customize Kubermatic Kubernetes Platform to your brand and needs.

Platform communication

  • Admin Announcement Feature: Broadcast messages for maintenance and updates.
If it works with kubernetes, it works with KKP!

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