Building an IoT Monitoring App with InfluxDB, Python, and Flask with Edge to cloud replication

By zoe steinkamp

議題

Building an IoT Monitoring App with InfluxDB, Python, and Flask with Edge to cloud replication

AU [[ new Date( '2023-07-30 02:40:00+00:00' ).toLocaleDateString('ja', {year: 'numeric', month: '2-digit', day: '2-digit'}) ]] [[ new Date( '2023-07-30 02:40:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] ~ [[ new Date( '2023-07-30 03:10:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] en
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The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature.

In this session we will showcase how to build a fully functional sample IoT monitoring application built on the Flask framework and utilizing InfluxDB as its backend. With integrations to visualization libraries such as Plotly, and downsampling using pandas.

講者

zoe steinkamp

zoe steinkamp

My name is Zoe Steinkamp and I am a developer Advocate for influxData, after working as a front end software engineer for over eight years. In my role as a Developer Advocate, I help developers to engage with InfluxData, including our database platform, open source tools, and Time-Series Data solutions. I have a passion for making developers' lives as well as learning about data science. My interests besides new technology include traveling and gardening. You can find me speaking at virtual and in person events and always feel free to reach out on linkedin.

Main Track 主議程軌 CHRQGG general (30mins)