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Currently a Workload Description Space (WDS) has Binding objects that refer to inventory objects in exactly one Inventory and Transport Space (ITS). This mentorship project would generalize that, allowing references to inventory objects in multiple ITSes. Bear in mind scalability concerns. Expected Outcome: generalized API and implementation as described.
Showing 5 of 19 projects. Click any project card for scope, mentors, and proposal studio.
This project focuses on implementing the backend API for managing Binding Policies. The API should support creating, reading, updating, and deleting policies while ensuring robust validation and performance. Objectives - Develop backend API endpoints for Binding Policy management. - Ensure proper validation and enforcement of Kubernetes standards. - Optimize backend performance for handling multiple policy requests. - Implement logging and error handling for better debugging. Expected Outcomes - A secure and scalable backend API for Binding Policies. - Full CRUD functionality accessible from the UI. - Improved validation and performance optimizations.
Currently a Workload Description Space (WDS) has Binding objects that refer to inventory objects in exactly one Inventory and Transport Space (ITS). This mentorship project would generalize that, allowing references to inventory objects in multiple ITSes. Bear in mind scalability concerns. Expected Outcome: generalized API and implementation as described.
This LFX Term 3 project will transform the KubeStellar Design System foundations (created in Term 2) into a production-ready implementation using Next.js (Nextra or Mintlify) and deploy it on Oracle Cloud Infrastructure. The project will deliver a unified design language across all KubeStellar interfaces, featuring immersive animations and interactive components that enhance UX while maintaining performance and accessibility. Expected Outcome: 1. Implement the complete KubeStellar Design System as a production-ready component library. 2. Build an interactive documentation site using Nextra or Mintlify. 3. Develop advanced 3D visualizations and micro-interactions using Three.js and animation libraries. 4. Deploy the design system and documentation to Oracle Cloud with enterprise-grade reliability. 5. Establish automated CI/CD pipelines for continuous deployment and semantic versioning. 6. Provide seamless integration paths for all KubeStellar interfaces (web UI, docs, CLI tools). 7. Ensure accessibility compliance while delivering visually engaging experiences.
This project focuses on building the backend functionality necessary for managing clusters in ITS. It will provide API endpoints to support the frontend’s cluster onboarding and management features. Objectives: - Develop backend APIs for ITS cluster management. - Implement validation and security features for onboarding new clusters. - Ensure high performance and scalability for handling multiple clusters. - Optimize API interactions for faster response times. Expected Outcomes: - A fully functional ITS backend with API support. - Secure and efficient cluster onboarding processes. - Scalable architecture for managing large Kubernetes deployments.
This project focuses on creating a comprehensive plugin marketplace UI for KubeStellar that enables users to easily discover, install, update, and delete plugins directly from the interface. The marketplace will provide a seamless user experience with intuitive navigation, detailed plugin information, and streamlined management workflows. Additionally, the project will implement advanced resource filtering capabilities throughout the KubeStellar UI, allowing users to efficiently search, sort, and filter various resources based on multiple criteria. Expected Outcome: 1) A fully functional plugin marketplace UI integrated into KubeStellar 2) Installation, deletion, and update workflows for plugins with visual feedback 3) Plugin categorization, ratings, and search functionality 4) Dependency management and compatibility checking for plugins 5) Advanced resource filtering system across the UI with support for multiple filter criteria 6) Filter persistence across user sessions 7) Responsive design that works across different device sizes 8) Performance optimizations to ensure smooth interaction even with many plugins/resources 9) Installation and Setup Guide integrated directly into KubeStellar UI with cluster readiness checker, guided installation wizard, and real-time error feedback and resolution flows