MULTI-CLOUD &

MULTI-CLUSTER MANAGEMENT SOLUTIONS

Easily define and operate flexible Kubernetes platforms on any public or private cloud, bare metal or edge – in conventional, hybrid, and distributed configurations. Support complex modern workloads – including AI and MLOps – anywhere

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RUN ANY LEGACY
OR MODERN
WORKLOAD,
ANYWHERE

Customers today must place applications in diverse environments to manage data locality, latency, and compliance demands—especially as AI workloads increase resource needs. Proprietary solutions risk lock-in and opaque costs. Meanwhile, siloed infrastructure saps agility, raising operational overheads.



k0rdent is a 100% open source solution that lets platform engineers build developer platforms declaratively for any use case, leveraging composable CNCF open source and select proprietary components. k0rdent can then deploy and lifecycle manage clusters at scale across clouds, bare metal, and edge – in conventional as well as advanced hybrid and distributed configurations. 

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Composable, Declarative, and 100% Open Source

k0rdent is a fully open source DCME (Distributed Container Management Environment). It integrates Kubernetes-native templating, automated reconciliation, and multi-cluster orchestration for any workload.

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Features:

ClusterAPI-based deployments on AWS, Azure, vSphere, OpenStack

Compose entire platforms with all services and dependencies

Automate updates, enforce drift prevention across multiple clouds

Standardize operations for security, cost analytics, and compliance

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AI Inference at Scale Anywhere

k0rdent AI extends k0rdent’s capabilities to orchestrate AI inference applications at scale. Select pre-trained models and deploy them in concert with composable components to support any AI inference application, anywhere.

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Features:

Host any inference pattern via APIs, events, or large batch tasks

Support all inference paradigms like RAG, fine-tuning, model ensembles

Deploy anywhere - on public clouds, private data centers, hybrid or edge

Optimize: utilize GPUs and TPUs efficiently, arbitrage costs across providers 

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Minimal, CNCF-Certified Kubernetes

k0s is a secure, lightweight Kubernetes distro that can be deployed by k0rdent in fully hosted or partially distributed modes. Its flexible control-plane/worker architecture supports hybrid and edge scenarios.

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Features:

CNCF-compliant and highly configurable with full API support

Hosted control planes managed as pods, for security and resilience

Latency-tolerant networking for hybrid, distributed, and edge clusters

Enterprise-grade scale, patching, and CVE mitigation for thousands of nodes

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Enterprise Kubernetes on Any Infrastructure

MKE 4 is a composable Kubernetes solution built on k0s, delivered as a full-featured enterprise platform. It can run in public clouds on VMs or on-prem bare metal, easily managed via a simple CLI.

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Features:

Enterprise-class, secure Kubernetes with built-in defaults and ARM/Windows support

Easy deployment and lifecycle management via mkectl CLI and reference configurations

Templatized, composable services for advanced use cases (e.g., KubeVirt for hosting VMs on Kubernetes)

WebUI plus robust RBAC for streamlined operations at scale 

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DATASHEET

k0rdent

Discover how k0rdent simplifies multi-cloud platform engineering with open source automation.



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DATASHEET

Mirantis k0rdent AI

Explore how Mirantis k0rdent AI orchestrates scalable AI inference in public clouds, hybrid, multi-cloud, or on-premise.


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WHITE PAPER

k0rdent: Helping Platform Engineers Meet Modern Infrastructure Challenges

Dive into this whitepaper to learn how k0rdent boosts agility, security, and efficiency for any workload.

LET’S TALK

Contact us to learn how Mirantis can accelerate your cloud initiatives.

We see Mirantis as a strategic partner who can help us provide higher performance and greater success as we expand our cloud computing services internationally.

— Aurelio Forese, Head of Cloud, Netsons

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We see Mirantis as a strategic partner who can help us provide higher performance and greater success as we expand our cloud computing services internationally.

— Aurelio Forese, Head of Cloud, Netsons

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Frequently Asked Questions About Enterprise Kubernetes Management Platforms

Q:

What is Kubernetes cluster management?

A:

Kubernetes cluster management refers to the process of overseeing and coordinating the components of a Kubernetes cluster; this includes nodes, workloads, networking, and storage. Cluster management also involves deploying applications, scaling resources, monitoring performance, maintaining security, and ensuring high availability. Effective cluster management helps containerized applications run efficiently and reliably across the infrastructure.


Q:

What are the benefits of using a multi-cluster management tool?

A:

There are several benefits to using a multi-cluster management tool. Multi-cluster management tools offer centralized control and visibility over multiple clusters, which simplify operations and governance. Using a multi-cluster management tool enhances scalability, and improves resource utilization while also supporting high availability and disaster recovery. 

Using a multi-cluster management tool also helps enforce consistent security policies and configurations across clusters, streamlining compliance and reducing operational complexity. There are many open source and commercial multi-cluster management tools available; these tools save organizations the time, expense, and effort of building and maintaining their own management solutions.


Q:

What does Kubernetes multi-cluster management entail?

A:

Kubernetes multi-cluster management entails overseeing and coordinating multiple Kubernetes clusters from a centralized platform. It involves tasks such as deploying applications across clusters, managing configurations and policies consistently, monitoring health and performance, and ensuring secure communication between clusters.

Q:

What are the key features of a Kubernetes multi-cluster management tool?

A:

Key features of a Kubernetes multi-cluster management tool include Kubernetes-native management, which uses native abstraction to manage clusters and workloads seamlessly. Unified control is also critical for centralized visibility and management for multiple clusters at scale, while rigorous security and compliance guardrails are essential for enforcing regulatory compliance and internal policies. 

Kubernetes multi-cluster management tools are also declarative and composable, allowing infrastructure and applications to be defined through modular GitOps-compatible templates. Additionally, these tools should support public cloud, on-premises, hybrid, and edge environments in order to streamline operations across diverse infrastructures. Finally, it is crucial that Kubernetes multi-cluster management tools are optimized for modern workloads and can support AI/ML applications.


Q:

Why use a Kubernetes multi-cluster manager?

A:

Using a Kubernetes multi-cluster manager simplifies the administration of multiple clusters by providing centralized control, visibility, and automation. It helps ensure consistent security policies, configurations, and application deployments across environments while helping to tame Kubernetes sprawl. This is especially valuable for organizations operating at scale, across regions, or in hybrid and multi-cloud setups, as it enhances reliability, security, and operational efficiency.