Headlamp plugin for KEDA

[yolossn]

Background

KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, one can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. While KEDA provides excellent functionality for scaling workloads based on event sources and custom metrics, monitoring and managing KEDA resources through Kubernetes dashboards remains challenging.

Problem Statement

Currently, Kubernetes administrators and developers face several challenges when working with KEDA:

• Limited visibility into ScaledObjects and ScaledJobs without using command-line tools
• Difficulty in monitoring the current scaling state and triggers in real-time
• No unified interface for viewing KEDA metrics alongside other Kubernetes resources

Objective

Create a Headlamp plugin that provides comprehensive visibility and management capabilities for KEDA resources, enabling users to:

• View and manage ScaledObjects and ScaledJobs through a intuitive interface
• Monitor real-time scaling metrics and trigger states
• Troubleshoot scaling behaviors with integrated logging and event visualization

Implementation Details

Resource Management

• List view of all ScaledObjects and ScaledJobs with filtering and sorting capabilities
• Detailed view of individual KEDA resources showing configurations and relationships
• YAML editor for direct modification of KEDA resources
• Creation wizard for new ScaledObjects and ScaledJobs (Optional)

Monitoring and Visualization

• Real-time metrics visualization for active scaling triggers (in Details View)
• Historical scaling activity graphs (in Details View)

Relationship Mapping

• Visual representation of relationships between KEDA resources and target workloads (in Details View)
• Cross-linking between related resources for easy navigation (in Details View)

Development Phases

Phase 1: Basic Resource Management

• Implementation of list and detail views
• Basic CRUD operations for KEDA resources
• Integration with Headlamp's navigation and layout

Phase 2: Monitoring and Visualization

• Metrics collection and visualization
• Real-time updates via WebSocket
• Event correlation and display

Phase 3: Advanced Features

• Relationship visualization
• Creation wizard
• Documentation and examples

[harshita9104]

Hello @yolossn ,
I am harshita , I have experience working with Typescript, ReactJs, CRUD operations, WebSockets .
This project interests me, I want to contribute to it under your guidance!!

Thank you