실시간 움직이는 데이터가 가져다 줄 가치, Data in Motion Tour에서 확인하세요!
Houseplants can be hard – in many cases, over- and under-watering can have the same symptoms. Take away the guesswork involved in caring for your houseplants while also gaining valuable experience in building a practical, event-driven pipeline in your own home! This talk explores the process of building a houseplant monitoring and alerting system using a Raspberry Pi and Apache Kafka®.
Moisture and temperature readings are captured from sensors in the soil and streamed into Kafka. From here, we’ll use stream processing to transform the data, creating a summary view of the current state and driving real-time push alerts to your phone through Telegram. In this session, I’ll talk about how I ingest the data, followed by a look at the tools, including ksqlDB and Kafka Connect, that will help transform the raw data into useful information.
By the end of the talk, you’ll have everything you need to start building practical streaming pipelines in your own home. Roll up your sleeves – let’s get our hands dirty!