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!
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Danica began her career as a software engineer in data visualization and warehousing with a business intelligence team where she served as a point-person for standards and best practices in data visualization across her company. In 2018, Danica moved to San Francisco and pivoted to backend engineering with a derivatives data team which was responsible for building and maintaining the infrastructure that processes millions of financial market data per second in near real-time. Her first project on this team involved Kafka Streams – she never looked back. Danica now works as a Developer Advocate with Confluent where she helps others get the most out of their event-driven pipelines.