StatusHive - Multi-tenant Monitoring Platform1 Repository

⚠️ Project Status: Active Development - This project is currently in progress due to internship commitments, but the core architecture and learning objectives have been achieved.

A sophisticated monitoring platform inspired by OpenStatus, built to explore advanced scalable architectures, multi-tenancy, and real-time analytics systems.

Learning Journey (15-20 Days):

Dedicated intensive learning period where I systematically implemented each microtask necessary for building a production-grade monitoring platform.

Technical Architecture:

Multi-Tenant Infrastructure

• Custom Domain System: Users can claim xyz.statushive.devitaliya.me subdomains
• Tenant Isolation: Complete multi-tenancy implementation with domain-based routing
• Scalable Database Design: Architected for handling multiple tenants efficiently

Serverless Monitoring Engine

• 18 Global Regions: Distributed pinging using Vercel regions and Lambda functions
• 30-Minute Intervals: Automated serverless pings with optimal frequency
• Custom Go Lambda: Built dedicated Go function for precise timing measurements

Precision Timing System

Built custom Go lambda function to capture detailed performance metrics:

type ResponseData struct {
    DNSLookup       int64 `json:"dns_lookup_ms"`
    TCPConnect      int64 `json:"tcp_connect_ms"`
    TLSHandshake    int64 `json:"tls_handshake_ms"`
    TimeToFirstByte int64 `json:"time_to_first_byte_ms"`
    TotalTime       int64 `json:"total_time_ms"`
}

Real-time Analytics Stack

• Tinybird Integration: Real-time analytics using ClickHouse data sources
• Data Pipelines: Custom Tinybird pipes for processing monitoring data
• Performance Research: Comprehensive comparison of PostgreSQL + TimescaleDB vs Tinybird vs ClickHouse

Research & Analysis:

• Database Performance Testing: Evaluated multiple time-series solutions
• ClickHouse vs Tinybird: Found ClickHouse superior for analytics, Tinybird better for ease of use
• Serverless Architecture: Proven scalability through distributed monitoring approach

Community Collaboration:

• OpenStatus Founders: Direct discussions with @mxkaske about architecture and ideas
• Multi-API Chaining: Proposed feature ideas for OpenStatus future development
• Knowledge Exchange: Shared insights about Go-based timing precision vs Node.js limitations

Current Implementation Status:

• ✅ Architecture: Complete scalable, multi-tenant foundation
• ✅ Go Lambda Checker: Fully functional with precise timing
• ✅ Multi-tenancy: Working domain-based tenant system
• ✅ Real-time Status Pages: Live analytics and monitoring
• ⏳ Web Interface: Core functionality complete, UI refinement in progress

Key Learning Outcomes:

• Multi-tenancy Architecture: Deep understanding of tenant isolation and scaling
• Serverless Monitoring: Expertise in distributed, cost-effective monitoring solutions
• Real-time Analytics: Hands-on experience with ClickHouse and Tinybird
• Performance Optimization: Go vs Node.js for precision timing applications
• Database Architecture: Time-series data handling at scale

This project represents a comprehensive exploration of modern monitoring infrastructure, demonstrating both technical depth and architectural understanding.