Temp Monitor

Temp Monitor is an open-source project designed for monitoring and managing temperature data efficiently. This repository contains multiple modular services for backend processing, logging, machine learning, and notification management.

Features

• Backend Service (backend_svc): Handles core data processing and serves as the primary API for the system.

• Logger Service (logger_svc): Manages logs to track system activity and errors.

• Machine Learning Service (ml_svc): Provides predictive analytics and insights using temperature data.

• Notification Service (notification_svc): Sends alerts and notifications based on system thresholds and analysis.

Tech Stack

• Languages:
  • Python
  • Go
  • Shell
• Tools:
  • Docker (for building images)
  • Kubernetes (for deployment and orchestration)

Directory Structure

temp-monitor/ 
├── backend_svc/ # Backend service source code 
├── logger_svc/ # Logger service implementation 
├── ml_svc/ # Machine learning service implementation 
├── notification_svc/ # Notification service
├── deployment/ # Kubernetes manifests and management scripts
└── README.md # Project documentation

Prerequisites

• Docker installed to build service images.
• Kubectl configured for Kubernetes management.

Setup

1. Clone the repository:

git clone https://github.com/naphatkps/temp-monitor.git
cd temp-monitor

2. Build Docker images for all services:

docker build -t weather_backend ./backend_svc
docker build -t weather_logger ./logger_svc
docker build -t weather_predict ./ml_svc
docker build -t weather_notification ./notification_svc

3. Install the ingress controller:

kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/main/deploy/static/provider/cloud/deploy.yaml

4. Deploy the services and ingress using Kubernetes:

chmod +x ./deployment/manage_manifests.sh
./deployment/manage_manifests.sh apply

5. Access the services via the ingress.

http://localhost/backend
http://localhost/predict
http://localhost/logger
http://localhost/noti

Contributing

We welcome contributions! To contribute:

1. Fork the repository.
2. Create a feature branch:

git checkout -b feature-name

3. Commit and push your changes:

git commit -m "Add feature-name"
git push origin feature-name

4. Submit a pull request for review.

Contact

Naphat - [email protected]