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Description
Kubevious aids in preventing application failures and the emergence of problematic or contradictory configurations. It enhances operational safety for your applications while ensuring that your teams remain effective and achieve success without disrupting current DevOps workflows. With Kubevious, Kubernetes operators can swiftly pinpoint configuration details, detect inconsistencies, ensure compliance, and identify violations of best practices. Its application-centric user interface is distinctive, allowing operators to correlate configurations effectively and maximize their Kubernetes experience. Furthermore, Kubevious not only validates but also enforces cloud-native best practices, ensuring comprehensive safety across various domains including application configuration, state management, RBAC, storage, networking, service mesh, and beyond. The intuitive and user-friendly design of Kubevious is highly appreciated by Kubernetes operators, making it easier for them to navigate complex environments. Additionally, Kubevious is powered by a specially designed rules engine that enforces both application and cloud-native best practices within Kubernetes environments, solidifying its value as an essential tool for operators.
Description
Sangfor Kubernetes Engine (SKE) serves as a sophisticated container management solution that is founded on upstream Kubernetes and is seamlessly integrated into the Sangfor Hyper-Converged Infrastructure (HCI), managed via the Sangfor Cloud Platform. This platform delivers a cohesive environment tailored for the operation and management of both containers and virtual machines, ensuring simplicity, reliability, and security throughout the process. SKE is particularly advantageous for organizations looking to deploy modern containerized applications, shift towards microservices architectures, or optimize their existing virtual machine workloads. With SKE, users benefit from centralized management of accounts, permissions, monitoring, and alerts across all workloads. The platform enables the automation of production-ready Kubernetes cluster creation in as little as 15 minutes, which significantly reduces the need for manual operating system installations and configurations. Additionally, it provides an extensive array of pre-configured components that facilitate rapid application deployment, offer visualized monitoring, support diverse log formats, and include built-in high-performance load balancing. Moreover, the integration of these features empowers organizations to enhance their operational efficiency while maintaining a focus on security and performance.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kubevious
Founded
2019
Country
United States
Website
kubevious.io
Vendor Details
Company Name
Sangfor
Founded
2000
Country
China
Website
www.sangfor.com/cloud-and-infrastructure/products/sangfor-kubernetes-engine-ske
Product Features
Container Management
Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization
Product Features
Container Management
Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization