How to Build Your Own Kubex
Replace Kubex with a custom build. The Most Powerful Agentic Platform for Automated Resource Optimization
Build Difficulty: 5/5
Build a working replacement in a weekend with AI tools
Estimated Timeline
Based on 27 features at Weekend Project difficulty, expect about One weekend with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 27 features
Analytics & Reporting(5 features)
Enhanced sharing with interactive tables and deep links for exporting specific data elements
Analyzes historical usage data to identify patterns, peaks, seasonality, and trends across containers, deployments, and namespaces
Interactive dashboards for viewing optimization opportunities and comparing current vs. recommended resource settings
Reports categorized by namespace, cluster, team, and application for detailed visibility into resource consumption
Categorizes risks such as overprovisioned, underprovisioned, and anomalous resources to help prioritize remediation
Automation(4 features)
Integrates recommendations into CI/CD pipelines via Helm charts, Kustomize, and Terraform for automated policy-driven optimization
Combines with GitOps to enforce or review changes based on data-backed recommendations
Automates infrastructure changes through Terraform, Pulumi, and other IaC frameworks to continuously align supply with demand
Integrates with Kubernetes to automatically apply optimization recommendations
GPU Management(4 features)
Recommends optimal GPU types based on workload requirements and predicted utilization
Monitors GPU utilization and performance in real-time, tracking aggregate node-level GPU and GPU memory utilization
Optimizes GPU allocation and scheduling for ML workloads, controlling GPU-to-memory ratios and selecting optimal GPU node types
Plans Multi-Instance GPU partitioning for efficient sharing and evaluates GPU slicing algorithms like time slicing and MPS
Cloud Infrastructure(2 features)
Optimizes auto-scaling groups and VM scale sets across instance families to improve efficiency
Selects optimal cloud instances based on workload patterns and predicted utilization
Node Management(2 features)
Determines optimal node types, CPU to memory ratios and scaling parameters based on learned behavior using ML pattern models of resource utilization
Predictively pre-scales nodes before traffic spikes using ML pattern models to generate pre-warming plans, preventing scheduling delays
Pod Management(2 features)
Automatically adjusts pod replicas based on real-time demand, running in recommendation or fully automated mode to optimize resources and reduce node count
Uses ML models to analyze workload patterns and generate request and limit scaling plans for peak and off-peak loads, reducing throttling and OOM kills
User Interface(2 features)
Command-line interface for interacting with the optimization agent
Model Context Protocol interface for agent interaction
AI & Automation(1 features)
Agentic AI that combines optimization intelligence with natural language interaction, allowing users to query resources and receive intelligent recommendations via conversational interface
Cost Calculator
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Total Cost Comparison
DIY hosting estimate based on Vercel + Supabase free/pro tiers (~$20/mo). Build time estimated from 27 features at very easy complexity.