AI TOOL PROFILE
Kubermatic: Multi-Cloud Kubernetes Management
- Software Development
- Kubernetes Management
- Enterprise Companies
- Mid-Market Companies
- Software Companies
- Multi-tenant service providers
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise Companies, Mid-Market Companies, Software Companies, Multi-tenant service providers
- Key use cases
- Hybrid and Multi-Cloud Management, Multi-Tenant Application Delivery, Secrets Security, Private Cloud Construction
- Integrations
- AWS, Azure, Google Cloud, VMware vSphere, Nutanix
- Official website
- Visit Kubermatic Cloud Stack official website
How AI is used
Kubermatic is a management platform designed to automate the lifecycle of Kubernetes clusters. It supports deployments across various environments, including public clouds such as AWS and Azure, as well as on-premises and edge locations.
The tool is intended for enterprise and mid-market software companies that operate large-scale applications across multiple regions. It focuses on automating 'Day 2' operations, which may help teams manage a high density of clusters from a single master point.
Beyond orchestration, the portfolio includes specialized components for load balancing, virtualization, and secrets management. Buyers should confirm which specific product—such as KubeLB or SecureGuard—aligns with their current infrastructure needs.
Because the platform is aimed at complex, distributed environments, it is primarily intended for organizations with established cloud-native workflows and scaling requirements.
Key Features
Multi-Cloud Cluster Management
Supports the operation of Kubernetes clusters across AWS, Azure, Google Cloud, and other providers.
Automated Lifecycle Orchestration
Designed to automate operations across the Kubernetes lifecycle, including maintenance and Day 2 operations.
Hybrid Deployment Support
Supports cluster management across on-premises, edge, and cloud environments.
KubeLB Multi-Tenant Load Balancing
Provides a multi-tenancy approach to load balancing for distributed applications.
SecureGuard Secrets Management
Combines OpenBao and External Secrets Operator to support automated secret rotation.
Internal Developer Platform (KDP)
A platform based on CNCF kcp that supports the creation of services via a centralized catalog.
Use Cases
Hybrid and Multi-Cloud Management
Managing clusters distributed between different cloud providers and on-premises data centers.
Multi-Tenant Application Delivery
Using KubeLB to provide load balancing services for multiple customers or internal teams.
Secrets Security
Using SecureGuard to manage and rotate secrets across different environments.
Private Cloud Construction
Utilizing virtualization features to build a private cloud based on Kubernetes.
Integrations
- AWS
- Azure
- Google Cloud
- VMware vSphere
- Nutanix
- OpenStack
- OpenBao
FAQ
What does Kubermatic do?
- It supports the automation of management and lifecycles for Kubernetes clusters across multiple cloud providers, on-premises environments, and edge locations.
Who is Kubermatic designed for?
- It is primarily designed for enterprise and mid-market software companies that operate complex, distributed environments.
How is Kubermatic priced?
- Specific pricing details are not provided in the available evidence; buyers should book a demo or contact sales.
Does it support on-premises infrastructure?
- Yes, it supports on-premises environments including VMware vSphere, Nutanix, and OpenStack.
Source category: Software Development
Source subcategory: Kubernetes Management
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