Getting Started with Kafka, Telegraf, and InfluxDB v3

This tutorial guides users through setting up a seamless pipeline that collects real-time data from garden sensors, streams it through Kafka, and stores it in InfluxDB for monitoring and analysis using Telegraf. The requirements include Docker and Docker Compose installed on the system, an InfluxDB Cloud v3 account with necessary details, Python, and basic knowledge of Kafka, Telegraf, and InfluxDB. The example demonstrates how to create a containerized environment for running the garden_sensor_gateway.py script that simulates garden sensor data and sends it to a Kafka topic. Additionally, it explains the docker-compose.yml file that defines services required for the project, including Kafka, Zookeeper, Telegraf, and the garden sensor gateway. The mytelegraf.conf configuration file is also discussed, which sets up Telegraf to process the garden sensor data by consuming messages from the Kafka topic and writing them to InfluxDB Cloud v3.