Leverage Edge Computing

Edge Computing with Kubermatic

Situation

Rethinking Infrastructure for the Edge

Edge computing demands have outgrown the management tools built for centralized data centers. Thousands of distributed Kubernetes clusters across remote locations, each with different hardware, inconsistent connectivity, and strict latency requirements, cannot be managed with the same runbooks designed for a handful of cloud regions.

Without standardization and automation, edge deployments become a security liability. Clusters at remote sites drift from policy baselines. Manual provisioning visits are expensive. Furthermore, as enterprises integrate AI, the demand for fast local decision-making to reduce latency makes reliance on a constant central cloud connection a severe vulnerability for mission-critical workloads.

Enable future expansion of edge computing by focusing on platforms, frameworks and interoperability in the early stages.

Gartner, Market Guide for Edge Computing, Thomas Bittman et al., June 2025

How we help

Operate Thousands of Edge Clusters from One Control Plane

Kubermatic Kubernetes Platform is designed to automate IT operations from the infrastructure to the application — easily operating thousands of Kubernetes clusters across your chosen edge environments. Kubermatic KubeOne manages independent standalone Kubernetes clusters on edge servers, extending the same lifecycle automation model to sites outside the central fleet.

Powered by a unique “Kubernetes-in-Kubernetes” architecture, we deliver the autonomous edge. By leveraging our Seed Cluster technology, we guarantee that critical local applications and AI inference models continue to run and process data locally even when the connection to the central cloud is severed.

Global Control Plane

We deploy KKP in your central data center or preferred public cloud. This acts as your single pane of glass, establishing global security policies across the entire infrastructure and deploying standardized software to all edge locations simultaneously.

Industrial Edge (Autonomous Operations)

Deployed on local servers within the remote facility, the platform orchestrates Seed Clusters that handle local operations. If the site loses internet connectivity, the Seed Cluster autonomously manages local workloads, ensuring business continuity.

Device Edge (IoT & AI)

The platform pushes containerized AI models directly to specialized hardware, such as assembly line cameras for defect detection (Manufacturing), remote sensors for predictive maintenance (Energy), or patient-monitoring devices (Healthcare), enabling split-second, low-latency processing at the source.

Use Cases

Air Gapped Edge Operations

The Mission: Manage Kubernetes clusters at edge sites with no internet connectivity, ensuring full lifecycle management, policy enforcement, and workload operations without central cloud reach-back.
The Application: KKP’s air-gapped cluster support provisions and manages clusters using pre-staged container images and local registries. Policy updates, Kubernetes upgrades, and application deployments distribute to edge sites during scheduled connectivity windows, with fully autonomous operation between synchronizations.

Bare Metal Edge at Scale

The Mission: Deploy and operate Kubernetes on bare metal servers across hundreds of edge locations, providing cloud-native operations without cloud infrastructure costs.
The Application: KKP manages bare metal edge clusters with the same tooling used for cloud-hosted clusters. KubeVirt enables virtual machines and containers to run side by side on the same hardware, supporting legacy workloads that require VM isolation alongside containerized applications.

Edge Computing Accelerator

The Mission: Implement production-grade Kubernetes operations across distributed remote environments in four weeks, including training, tooling, and initial cluster fleet deployment.
The Application: Kubermatic’s four-week Edge Computing Accelerator engagement combines training, consultancy, and open source tooling to implement Kubernetes operations across your specific edge environments. Teams leave with a functioning edge cluster management platform and the operational knowledge to extend it independently.

Discover Success Stories

Outcome

Scalable Edge Operations at Any Distance

By standardizing on Kubermatic Kubernetes Platform, organizations manage thousands of edge nodes with lean platform teams — maintaining governance, security, and operational consistency across every remote location.

Thousands of Clusters from One Location

Centralized fleet management eliminates per-site engineering visits. Provisioning, upgrades, policy enforcement, and health monitoring run from a single control plane — regardless of how many edge sites are in the fleet.

Zero-Touch Environments

Immutable infrastructure and automated provisioning eliminate the configuration drift that creates security gaps. Every new edge site comes up in a known, policy-compliant configuration.

Resilience Through Autonomy

Edge clusters operate independently through connectivity gaps. Air-gapped cluster support ensures workloads continue through internet outages — with state reconciliation running automatically when connectivity resumes.

Cloud Native Outside the Cloud

Bare metal edge servers gain full cloud native operations — managed like cloud machines, with VM and container support running side by side. Organizations capture cloud native benefits without cloud infrastructure dependency.