Search Results for "machine learning platform"

Rainbond is an open-source container platform that helps teams build, deploy, upgrade, operate, and deliver applications on Kubernetes without requiring deep Kubernetes expertise. It focuses more on application delivery than low-level cluster resource management. The platform brings source code, container images, templates, dependencies, access management, upgrades, and rollbacks into a standardized graphical workflow. Rainbond is built for complex enterprise delivery scenarios such as...

k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments. ...

Websoft9 is a web-based PaaS and Linux panel for self-hosting open-source applications on a user’s own server. It is designed for running many web apps on a single machine instead of requiring a complex Kubernetes-first architecture. The platform provides a graphical interface for installing, managing, and operating more than 200 application templates. It combines application deployment with server administration tools, so users can manage files, containers, users, proxies, SSL, logs, storage, firewalls, and system services from one place. ...

TKEStack is an open source project that provides a container management platform built for organizations that deploy containers in production. TKEStack makes it easy to run Kubernetes everywhere, meet IT requirements, and empower DevOps teams. Provides an intuitive UI interface to support visualization and YAML import and other resource creation and editing methods, enabling users to run containers without learning all Kubernetes concepts up-front.

...Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. Only two steps to complete the KubeOperator installation and deployment.