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What is Kubermatic Kubernetes Platform?

The Kubermatic Kubernetes Platform (KKP) accelerates the digital transformation journey for businesses by optimizing their cloud operations, no matter where they are located. With KKP, both operations and DevOps teams can effortlessly manage virtual machines and containerized workloads across a variety of environments, such as hybrid-cloud, multi-cloud, and edge setups, all via an intuitive self-service portal tailored for developers and operations alike. As an open-source solution, KKP enables the automation of numerous Kubernetes clusters across different contexts, guaranteeing exceptional density and robustness. This platform allows organizations to create and maintain a multi-cloud self-service Kubernetes environment with a quick time to market, which greatly boosts overall efficiency. Notably, developers and operations teams can launch clusters in less than three minutes on any infrastructure, driving swift innovation. Centralized management of workloads is available through a single dashboard, ensuring a coherent experience whether deployed in the cloud, on-premises, or at the edge. Moreover, KKP enhances the scalability of your cloud-native architecture while upholding enterprise-level governance, which is crucial for maintaining compliance and security throughout the entire infrastructure. This capability not only supports organizations in navigating the complexities of modern cloud environments but also reinforces their ability to stay agile and in control amidst the rapid changes of today's digital world.

What is ClearML?

ClearML stands as a versatile open-source MLOps platform, streamlining the workflows of data scientists, machine learning engineers, and DevOps professionals by facilitating the creation, orchestration, and automation of machine learning processes on a large scale. Its cohesive and seamless end-to-end MLOps Suite empowers both users and clients to focus on crafting machine learning code while automating their operational workflows. Over 1,300 enterprises leverage ClearML to establish a highly reproducible framework for managing the entire lifecycle of AI models, encompassing everything from the discovery of product features to the deployment and monitoring of models in production. Users have the flexibility to utilize all available modules to form a comprehensive ecosystem or integrate their existing tools for immediate use. With trust from over 150,000 data scientists, data engineers, and machine learning engineers at Fortune 500 companies, innovative startups, and enterprises around the globe, ClearML is positioned as a leading solution in the MLOps landscape. The platform’s adaptability and extensive user base reflect its effectiveness in enhancing productivity and fostering innovation in machine learning initiatives.

Media

Media

Integrations Supported

Kubernetes
Alibaba Cloud Enterprise Network
Amazon Web Services (AWS)
DigitalOcean
Google Cloud Platform
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Microsoft Azure
Rackspace OpenStack
Red Hat Cloud Suite
VMware Cloud
groundcover

Integrations Supported

Kubernetes
Alibaba Cloud Enterprise Network
Amazon Web Services (AWS)
DigitalOcean
Google Cloud Platform
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Microsoft Azure
Rackspace OpenStack
Red Hat Cloud Suite
VMware Cloud
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$15
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kubermatic

Date Founded

2016

Company Location

Germany

Company Website

kubermatic.com

Company Facts

Organization Name

ClearML

Date Founded

2016

Company Location

Israel

Company Website

clear.ml/

Categories and Features

Application Lifecycle Management

Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Enterprise Architecture

Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

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