Claritty – Observability and Monitoring

Agent for Kubernetes clusters, CI-CD, Anamoly detection

Claritty is a open-source, lightweight, cloud-native observability agent for Kubernetes clusters.
It collects real-time node and custom metrics and forwards them to a backend service for visualization and analysis. Claritty is built to be scalable, extensible, and easy to deploy across any Kubernetes environment. Expanding into end-to-end DevOps observability & monitoring ...

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✨ Features

• 📊 Node-level metrics: Collects CPU, memory, and other resource usage using client-go and the Kubernetes metrics-server.
• ⚡ Custom metrics: Fetches additional workload and API-driven metrics using the Kubernetes API.
• 🛰 DaemonSet deployment: Runs on every node to ensure cluster-wide coverage.
• 🌐 Backend integration: Sends metrics to a backend service (Go + Gin) hosted on EC2 for processing and dashboard visualization.
• 🔧 Extensible design: Can be extended for namespace-level, multi-node, and multi-cluster observability.

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🏗 Architecture

+------------------+       +-----------------+       +----------------------+
| Claritty Agent   | --->  | Backend (Go/Gin)| --->  | Dashboard (Frontend) |
| (DaemonSet Pods) |       |  on EC2         |       |  Metrics + Charts    |
+------------------+       +-----------------+       +----------------------+

Data sources: client-go + metrics-server + K8s custom metrics API

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🚀 Getting Started

Prerequisites

• Kubernetes cluster (k8s, k3d, minikube, EKS, GKE, or any CNCF-compliant distro)
• kubectl access
• metrics-server installed

1. Deploy Claritty Agent

kubectl apply -f agent-daemonset.yaml

2. Backend Setup

Run the Go backend service (on EC2 or locally):

go run main.go

3. View Metrics

Access the dashboard to visualize node and custom metrics.

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📈 Example Metrics Collected

• Node name
• CPU usage (%)
• Memory usage (MB)
• Node metrics via Kubernetes API
• And many more custom metrics you want 😉

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🔮 Roadmap

• Namespace-level observability
• Multi-node + multi-cluster support
• Advanced dashboards with filtering & sorting
• Integration with OpenTelemetry (OTel)
• Observability for CI/CD, cloud, and cost
• AI-driven anomaly detection on metrics

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🤝 Contributing

Contributions are welcome! Please open an issue or submit a PR if you’d like to extend Claritty.

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📜 License

MIT LICENSE