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MULTI-CLUSTER MANAGEMENT FOR KUBERNETES

Easily define and operate flexible Kubernetes platforms on any public or private cloud, bare metal, or edge – in conventional, hybrid, and distributed configurations. Multi-cluster management from Mirantis supports 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 handle multi-cluster lifecycle management at scale across clouds, bare metal, and edge – in conventional as well as advanced hybrid and distributed configurations.

Composable, Declarative, and 100% Open Source

k0rdent is a fully open-source, composable Kubernetes management platform. It integrates Kubernetes-native templating, automated reconciliation, and multi-cluster network orchestration for any workload.

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Features:

ClusterAPI-based deployments on AWS, Azure, GCP, vSphere, and 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

AI Inference at Scale Anywhere

Mirantis k0rdent AI is an enterprise-grade AI infrastructure solution that extends k0rdent’s capabilities to securely 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, and model ensembles

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

Use GPUs and TPUs efficiently, with arbitrage costs across providers

Minimal, CNCF-Certified Kubernetes

k0s is a compact, self-contained Kubernetes distro with zero dependencies 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

Enterprise Kubernetes on Any Infrastructure

MKE 4k 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

Seamless Kubernetes at Any Scale

With Kubernetes built for scale, flexibility, and control, Mirantis empowers enterprises to operate seamlessly across any environment.

Kubernetes Multi-Cluster Orchestration

Centrally manage Kubernetes across clusters and clouds with automation that simplifies multi-cluster management for consistent operations at scale.

Flexible deployments

Deploy and operate Kubernetes clusters on public cloud, private cloud, bare metal, or edge using Mirantis’ centralized multi-cluster management capabilities.

Effortless Workload Distribution

Automatically direct workloads to the appropriate clusters with the required configurations, boosting efficiency and reliability across all environments.

Open Source Architecture

Avoid vendor lock-in with a fully open-source foundation designed for extensibility, transparency, and complete control.

Enterprise-Grade Resilience

Increase production uptime with self-healing clusters, zero-trust security, and failover automation built for critical business applications.

DATASHEET

k0rdent

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

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DATASHEET

From Metal-to-Model™ — Simplify AI Infrastructure

k0rdent AI enables enterprises and service providers to accelerate AI adoption with trusted, composable, and sovereign infrastructure.

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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.

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LET’S TALK

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

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

Frequently Asked Questions About Enterprise Kubernetes Management Platforms

What Is Cluster Management for Kubernetes?

Cluster management refers to the process of overseeing and coordinating the components of a Kubernetes environment, including:

compute nodes
workloads
networking
storage

Multi-cluster Kubernetes management involves deploying applications, scaling resources, monitoring performance, maintaining security, and ensuring high availability, all using a containerized platform that enables applications to run efficiently and reliably across two or more Kubernetes clusters.

What Are the Benefits of Using Kubernetes Multi-Cluster Management Tools?

There are several benefits to using Kubernetes multi-cluster management tools, including:

Centralized control, FinOps, and visibility over multiple clusters
Enhanced scalability and improved resource utilization
Support for high availability and disaster recovery

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

How Does Multi-Cloud Cluster Management Work?

Kubernetes multi-cloud cluster management oversees and coordinates multiple environments from a centralized platform. It involves tasks such as deploying applications, consistently managing configurations and policies, monitoring health and performance, and ensuring secure communication.

Why Use a Kubernetes Multi-Cluster Manager?

Multi-cluster management 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 type of solution 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.

What Are the Key Features of Multi-Cluster Management Solutions?

Key features of solutions for Kubernetes multi-cluster management 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
Rigorous security and compliance guardrails for enforcing regulatory compliance and internal policies

Multi-cluster management solutions 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 to streamline operations across diverse infrastructures. Your tools also need to be optimized for modern workloads, supporting AI/ML applications.

How Does Mirantis Support AI/ML Workloads in Kubernetes Multi-Cluster Deployment?

Mirantis k0rdent AI is an infrastructure solution that simplifies workload orchestration with centralized management, flexible support, and consistent operations across distributed clusters. It automates the deployment of Kubernetes clusters, integrating necessary services for networking, storage, security, and more.

Can Multi-Cluster Kubernetes Help with Compliance and Data Security?

Managing multiple Kubernetes clusters with Mirantis helps with compliance and data security by isolating workloads, enforcing policies, securing data across environments, and automating data sovereignty.

What Makes Mirantis Different from Other Multi-Cluster Tools?

Mirantis is different from other multi-cluster tools due to its fully open-source foundation and Kubernetes-native architecture. Our solution simplifies operations and scales consistently across any infrastructure, from public clouds to on-prem to edge.