Microservices Monitoring & Load Testing Framework 🌩️📈

📌 Overview

This repository hosts a high-fidelity benchmarking and monitoring framework for hosting, observing, and stress-testing microservices applications across heterogeneous cloud topologies. Using the Google Online Boutique (11-tier microservice architecture), this project evaluates system behavior, throughput, CPU/Memory saturation, network latency, and resilience across Public Cloud (Azure), Private Cloud (IITD Baadal), Multi-Cloud (Azure + GCP Mesh), and Edge Computing (K3s).

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🗂️ Project Repository Map

MicroService-Monitoring-System/
├── README.md                                    # Master project documentation & index
├── docs/                                        # Documentation, presentations, and guides
│   ├── presentations/                           # Project slide decks (PDF & PPTX)
│   ├── setup/                                   # Topology setup and deployment guides
│   └── references/                              # Benchmark reference literature
└── results/                                     # Benchmark datasets, reports & metrics
    ├── private-cloud/                           # IITD Baadal Cloud benchmarks
    ├── public-cloud/                            # Azure Single-Node & Multi-Node benchmarks
    └── multi-cloud/                             # Azure + GCP Tailscale mesh benchmarks

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📚 Documentation & Presentations

Category	File	Description
Presentation Deck	📊 Cornerstone Project Presentation (PDF) 📑 Cornerstone Project Presentation (PPTX)	Initial project proposal and system design slides
Final Presentation	📊 Cornerstone Final Presentation (PDF) 📑 Cornerstone Final Presentation (PPTX)	Complete experimental findings and performance analysis
Setup & Guides	🛠️ Cloud Topology Setups Guide (PDF)	Configuration steps for Azure, Baadal Cloud, and Prometheus/Grafana
Edge Topology	⚡ Edge Deployment Guide (PDF)	K3s nodeSelector topology for high-availability frontend microservices
Reference Literature	📖 HydraGen Benchmark Generator (PDF)	Reference paper on microservice benchmark generation

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📊 Summary of Experimental Benchmarks (at 200 Users)

Cloud Topology	Avg Latency (ms)	Throughput (RPS)	CPU Saturation	Memory Saturation	Key Insight
Azure Public Cloud (Multi-Node)	148 ms	61.65	14.7%	43.1%	Linear horizontal scaling; 76% latency reduction over single node
IITD Baadal (Private Cloud)	3,530 ms	29.57	69.5%	90.8%	Hardware saturation under high concurrent user load
Multi-Cloud (Azure + GCP Mesh)	3,633 ms	34.10	45.5%	69.9%	Tailscale VPN encryption overhead adds ~10x latency penalty

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📁 Experimental Findings & Benchmark Catalog

1. 🏢 Private Cloud Benchmarks (IITD Baadal Cloud)

• 📄 Topology Report: Private Cloud Overview Report (PDF)

Load Tier	Locust Report	Telemetry Datasets (CSV)	Metric Screenshots
Low Load (10 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6
Medium Load (50 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6
High Load (200 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6

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2. 🌐 Public Cloud Benchmarks (Microsoft Azure)

• 📄 Single Node Overview Report: Public Cloud Single Node Report (PDF)
• 📄 Multi-Node Overview Report: Public Cloud Multi Node Report (PDF)

🔹 Single-Node Architecture

Load Tier	PDF Summary	Interactive HTML Report
Low Load	📄 PublicSingleNodeLowLoad.pdf	🌐 PublicSingleNodeLowLoad.html
Medium Load	📄 PublicSingleNodeMedLoad.pdf	🌐 PublicSingleNodeMedLoad.html
High Load	📄 PublicSingleNodeHighLoad.pdf	🌐 PublicSingleNodeHighLoad.html

🔹 Multi-Node Architecture

Load Tier	PDF Summary	Interactive HTML Report
Low Load	📄 PublicMultiNodeLowLoad.pdf	🌐 PublicMultiNodeLowLoad.html
Medium Load	📄 PublicMultiNodeMedLoad.pdf	🌐 PublicMultiNodeMedLoad.html
High Load	📄 PublicMultiNodeHighLoad.pdf	🌐 PublicMultiNodeHighLoad.html

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3. 🌐⚡ Multi-Cloud VPN Mesh Benchmarks (Azure + GCP via Tailscale)

• 📄 Topology Report: Multi-Cloud Overview Report (PDF)

Load Tier	Locust Report	Telemetry Datasets (CSV)	Metric Screenshots
Low Load (10 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6
Medium Load (50 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6
High Load (200 Users)	📄 Report PDF 🌐 Interactive HTML	📊 Requests CSV ❌ Failures CSV ⚠️ Exceptions CSV	🖼️ Dashboard 1 • Dashboard 2 • Dashboard 3 • Dashboard 4 • Dashboard 5 • Dashboard 6

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🛠️ Tech Stack & Infrastructure Tools

• Infrastructure & Hosting: Microsoft Azure (AKS/VMs), Google Cloud Platform (GCP), IITD Baadal Cloud.
• Orchestration: Kubernetes (kubeadm), K3s Edge Kubernetes.
• Networking Mesh: Tailscale VPN Mesh, Flannel CNI, Cloudflare Tunnels, Split-Horizon Proxy Bypass.
• Observability & Monitoring: Prometheus, Grafana, Node Exporter, PromQL metric analytics.
• Load Injection & Benchmarking: Locust (Distributed user workload simulation).