Hetzner cloud integration for Jenkins
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Updated
Aug 26, 2024 - Java
Hetzner cloud integration for Jenkins
This repository contains resources, including circuit diagrams, code, and project files from the IoTics AIoT Workshop, focusing on integrating Artificial Intelligence (AI) with the Internet of Things (IoT). It features hands-on projects exploring sensor integration, cloud services, machine learning, and robotics.
Application router as a proxy for SAP Private Link service for SAP Cloud Integration and SAP Launchpad scenarios.
The cloud storage explorer allows you to browse the cloud storage for different providers. You can connect the cloud storage seamlessly.
Monitor your water tank levels remotely with our IoT-based system. Get real-time updates on your mobile device via our dedicated app.
An IoT project using motion sensors and geofencing to detect deer near highways, sending real-time GPS alerts to drivers. Built with Flask (Python) and Raspberry Pi, focusing on IoT, cloud integration, and sensor data processing.
The project of tickets app built as an Multi-Service App using docker, kubernetes, cloud and other tools of modern architecture programming.
📱 A collection of example projects built with MIT App Inventor, demonstrating key app development concepts such as sensors, hardware interfacing, and logic flows. Ideal for beginners and educators, these projects offer practical insights into mobile app creation and learning with App Inventor.
Integrate AWS Lambda with RDS through RDS Proxy
WeatherNode: A compact weather station built with CubeCell, integrating multiple sensors and real-time data visualization via Node-RED.
A code repository designed to show the best GitHub has to offer.
The Particle Photon is a compact, Wi-Fi-enabled development board that allows you to prototype IoT projects quickly. With built-in cloud connectivity and a robust development ecosystem, the Photon simplifies the process of creating internet-connected devices.
The project combines ESP8266 microcontrollers and temperature sensors to create a system that monitors temperature remotely. Through a mobile app, users can access real-time data, receive alerts for anomalies, and control devices based on temperature conditions.
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