{"product_id":"raspberry-pi-iot-data-pipeline-kit-with-influxdb-grafana-and-docker","title":"Raspberry Pi IoT Data Pipeline Kit with InfluxDB Grafana \u0026 Docker","description":"\u003ch1\u003eBuild a Full-Stack IoT Data Analytics Platform with Raspberry Pi 4, InfluxDB, Grafana \u0026amp; Docker\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Advanced\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 5-6 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 18-21\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Docker, time-series databases, IoT data streams\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eMonitor temperature and humidity across multiple rooms or remote locations with a professional-grade time-series analytics pipeline. This kit empowers you to set up a 10-node wireless sensor network, feed real-time data into InfluxDB, and visualize historical trends with Grafana dashboards - the exact stack used in industrial IoT deployments.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll build a fully containerised TICK stack (Telegraf, InfluxDB, Chronograf) on a Raspberry Pi 4, running in Docker for easy deployment. Ten ESP8266 nodes with DHT22 sensors will stream temperature and humidity data over Wi-Fi to the Pi. The resulting Grafana dashboard will display live feeds, historical charts, and alerts, giving you a professional data analytics interface accessible from any browser on your network.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eDeploying and managing Docker containers for a multi-service data pipeline\u003c\/li\u003e\n  \u003cli\u003eGathering sensor data over MQTT or HTTP from multiple ESP8266 nodes\u003c\/li\u003e\n  \u003cli\u003eStoring and querying time-series data with InfluxDB\u003c\/li\u003e\n  \u003cli\u003eDesigning interactive Grafana dashboards with time-range selectors and alert rules\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 4 Model B 4GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP8266 NodeMCU\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eDHT22\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C PSU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMicro USB Cable\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eCollege engineering students (B.Tech ECE\/EEE) looking to build a capstone project with industrial relevance. Participants in Smart India Hackathon preparing IoT analytics prototypes. IIT, NIT, and VIT students diving into Docker, time-series databases, and sensor networks. Also suitable for ATL Tinkering Lab mentors demonstrating advanced IoT concepts.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eThe AI companion provides step-by-step debugging, and you can reach our team over WhatsApp for personalised guidance on troubleshooting the Docker stack or sensor connectivity.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs prior Docker experience required?\u003c\/summary\u003e\u003cp\u003eBasic familiarity with the Linux command line helps, but our AI companion walks you through each Docker command and YAML configuration. You'll learn containerisation as you build.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I add more than 10 sensors?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The architecture scales naturally. Once the stack is running, you can attach additional ESP8266 nodes and they will be auto-discovered if configured, or you can manually add them to Telegraf.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eHow do I access the Grafana dashboard remotely?\u003c\/summary\u003e\u003cp\u003eThe default setup serves Grafana on the Pi's local network. You can expose it securely using an SSH tunnel, a reverse proxy like NGINX, or a VPN, all of which our AI companion can help you configure.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003ePi 4 runs full TICK stack in Docker. 10 sensor nodes feed data. Grafana renders historical analytics.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/industrial-ph-sensor-module-for-arduino-esp32-raspberry-pi\"\u003eRaspberry Pi 4 Model B 4GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/esp32-smart-iot-learning-kit-with-oled-display\"\u003eESP8266 NodeMCU\u003c\/a\u003e x10\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/dht22-temperature-humidity-sensor-module-accurate-readings\"\u003eDHT22\u003c\/a\u003e x10\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/microsd-card-reader-spi-module-for-arduino\"\u003eMicroSD Card 32GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-4-official-power-supply-5v-3a-usb-c-compoden\"\u003eUSB-C PSU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/microusb-cable-1m-charging-data-cord-for-arduino-android\"\u003eMicro USB Cable\u003c\/a\u003e x10\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Raspberry Pi InfluxDB Grafana Stack Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Raspberry Pi InfluxDB Grafana Stack Kit with Raspberry Pi 4 + DHT22 includes all components needed: Raspberry Pi 4 Model B 4GB, ESP8266 NodeMCU, DHT22, MicroSD Card 32GB, USB-C PSU and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Raspberry Pi InfluxDB Grafana Stack Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Advanced level makers, suitable for ages 18-21. Pi 4 runs full TICK stack in Docker. 10 sensor nodes feed data. Grafana renders historical analytics. Estimated build time is 5-6 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Raspberry Pi InfluxDB Grafana Stack Kit with Raspberry Pi 4 + DHT22 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Raspberry Pi InfluxDB Grafana Stack Kit with Raspberry Pi 4 + DHT22 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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