🚀 Ced’s Observability Stack
🧠 Executive Summary
Ced’s Observability Stack is a production-style monitoring, metrics, and alerting platform built to provide full visibility into a distributed hybrid infrastructure.
It simulates real-world SRE / Platform Engineering environments, delivering:
- 📊 Real-time infrastructure monitoring
- ⚙️ Kubernetes observability (12-node K3s cluster)
- 🖥️ Proxmox HA cluster visibility
- 🌐 Service uptime + network health tracking
- 🚨 Alerting pipelines (Alertmanager)
- 📈 Operational dashboards (Grafana)
🎯 Goal: Demonstrate enterprise-level observability practices across virtualization, Kubernetes, and self-hosted infrastructure.
🏗️ Environment Overview
Core Infrastructure
| System | Purpose |
|---|---|
| 🖥️ Proxmox HA Cluster | Virtualization & high availability |
| ☸️ K3s Cluster (12-node) | Container orchestration |
| 💾 TrueNAS | Storage services |
| 🌐 Nginx Proxy Manager | Reverse proxy & routing |
| ☁️ Cloudflare | DNS, tunnels, external protection |
| 📊 Grafana | Visualization dashboards |
| 📡 Prometheus | Metrics collection |
| 🚨 Alertmanager | Alert routing |
🚀 Quick Start
Prerequisites
- Linux server or VM
- Python 3 installed
- Prometheus installed
- Grafana installed
- Network access to homelab systems
Run Service Health Check
bash python3 scripts/service-health-check.py
Run Prometheus
bash prometheus --config.file=prometheus/prometheus.yml
Access Services
- Prometheus: http://localhost:9090
- Grafana: http://localhost:3000
📡 Monitored Systems
| Target | Example Metrics |
|---|---|
| 🖥️ Proxmox Nodes | CPU, memory, storage, VM + HA status |
| ☸️ K3s Nodes | Node readiness, resource usage |
| 📦 Kubernetes Workloads | Pods, deployments, restarts |
| 🌐 Network Services | Uptime, latency, TCP checks |
| 💾 TrueNAS | Storage + service availability |
| 🔀 Nginx Proxy Manager | Reverse proxy health |
| 📊 Dashy / NOC | Dashboard availability |
| 🎬 Jellyfin | Media service uptime |
🧩 Architecture
flowchart TD
A[Proxmox HA Cluster] --> P[Prometheus]
B[12-Node K3s Cluster] --> P
C[Node Exporters] --> P
D[Service Health Checks] --> P
E[Proxmox Exporter] --> P
P --> G[Grafana Dashboards]
P --> AM[Alertmanager]
AM --> N[Email / Discord / Slack Alerts]
G --> NOC[Ced's NOC Dashboard]
📸 Dashboards
Infrastructure Overview
Infrastructure Dashboard
K3s Cluster Dashboard
K3s Dashboard
Proxmox HA Dashboard
Proxmox Dashboard
Service Uptime Dashboard
Services Dashboard
⚙️ Core Components
📡 Prometheus
Collects metrics from:
- Kubernetes endpoints
- Node exporters
- Proxmox exporter
- Custom health scripts
- Static service targets
📊 Grafana
Provides dashboards for:
- Cluster health
- Resource utilization
- Storage trends
- Service uptime
- Alert visibility
🚨 Alertmanager
Handles alerting for:
- Node failures
- High CPU / memory
- Service outages
- Pod crash loops
- Proxmox HA issues
📁 Repo Structure
ceds-observability-stack/
├── architecture/
├── prometheus/
├── grafana/
├── exporters/
├── alerting/
├── scripts/
└── docs/
📸 Dashboard Preview
- 🔹 Infrastructure Overview
- 🔹 K3s Cluster Health
- 🔹 Proxmox Cluster Status
- 🔹 Service Uptime Dashboard
🚀 Deployment (High-Level)
# Clone repo
git clone https://github.com/ced4568/ceds-observability-stack.git
# Navigate to project
cd ceds-observability-stack
# Deploy Prometheus + exporters
# (Add your actual deployment steps here)
# Access Grafana
http://<your-server-ip>:3000
🎯 Project Roadmap
Phase 1 — Foundation
- Architecture design
- Repo structure
- Prometheus base config
- Grafana datasource
Phase 2 — Metrics Collection
- Node exporter
- K3s metrics
- Proxmox exporter
- Uptime checks
Phase 3 — Dashboards
- Infrastructure dashboard
- K3s dashboard
- Proxmox dashboard
- Service uptime dashboard
Phase 4 — Alerting
- Alertmanager setup
- Alert rules
- Notification testing
Phase 5 — Portfolio Polish
- Screenshots
- Architecture diagrams
- Setup guide
- Troubleshooting docs
🧠 Skills Demonstrated
- 📊 Infrastructure Monitoring
- ☸️ Kubernetes Operations
- 📡 Prometheus Configuration
- 📈 Grafana Dashboarding
- 🚨 Alert Engineering
- 🐧 Linux Administration
- 🖥️ Proxmox Virtualization
- ⚙️ SRE Principles
- 🏗️ Platform Engineering
🔗 Related Projects
| Project | Purpose |
|---|---|
| Ced’s HomeLab | Full infrastructure ecosystem |
| Ced’s NOC | Visualization + status dashboards |
| Ced’s K3s HomeLab | Kubernetes architecture |
| Ced’s APRS iGate | Networking + RF integration |
🔗 Integration
This observability stack is part of a larger ecosystem:
- Ced’s HomeLab → Infrastructure layer
- Ced’s Observability Stack → Metrics + monitoring layer
- Ced’s NOC → Visualization and operations layer
Data flows from monitored systems into Prometheus, is visualized in Grafana, and feeds Ced’s NOC dashboard for real-time system visibility.
🧪 Verification
To verify the system is working correctly:
Prometheus Targets
- Navigate to: http://localhost:9090/targets
- Confirm all targets show UP
Node Exporter
bash curl http://:9100/metrics
Service Health Check
bash python3 scripts/service-health-check.py
Grafana
- Confirm dashboards display real-time metrics
- Verify data source connection to Prometheus
- Check for active alerts
Alert Testing
- Stop a service or node temporarily
- Confirm alert triggers in Prometheus
- Confirm alert appears in Grafana
📌 Status
🟢 Active Development
This project is continuously evolving as part of Ced’s HomeLab ecosystem and professional portfolio.
💡 Why This Project Matters
This project simulates a production-style observability system used in modern infrastructure environments.
It is designed to demonstrate how distributed systems are monitored, analyzed, and maintained in real-world engineering teams.
Key capabilities include:
- Monitoring a hybrid infrastructure environment (Proxmox HA + K3s cluster)
- Collecting and visualizing system and service metrics
- Tracking service availability and uptime
- Detecting infrastructure and application-level failures
- Supporting alert-driven operations
- Integrating with a centralized NOC dashboard
This project represents a shift from running infrastructure to actively operating and maintaining it using observability principles aligned with SRE and platform engineering practice
🧠 Future Improvements
- Loki log aggregation
- Tempo tracing
- Cloudflare Access log ingestion
- Automated remediation (self-healing infrastructure)
- Grafana public demo dashboard
- GitOps-based deployment (Argo CD / Flux)
- Multi-cluster Kubernetes monitoring
🚀 Designed as a portfolio-grade project for career growth, promotion, and technical leadership visibility.