{"id":22710030,"date":"2023-06-05T10:25:11","date_gmt":"2023-06-05T17:25:11","guid":{"rendered":"https:\/\/thenewstack.io\/?p=22710030"},"modified":"2023-06-05T10:25:11","modified_gmt":"2023-06-05T17:25:11","slug":"creating-an-iot-data-pipeline-using-influxdb-and-aws","status":"publish","type":"post","link":"https:\/\/thenewstack.io\/creating-an-iot-data-pipeline-using-influxdb-and-aws\/","title":{"rendered":"Creating an IoT Data Pipeline Using InfluxDB and AWS"},"content":{"rendered":"\n

The Internet of Things (IoT) and operations technology (OT) spaces are awash in time series data. Sensors churn out time-stamped data at a steady and voluminous pace, and wrangling all that data can be a challenge. But you don’t want to collect a bunch of data and let it just sit there, taking up storage space without providing any value.<\/p>\n

So, in the spirit of gaining value from data for IoT\/OT, let’s look at how to configure a sensor using InfluxDB and Amazon Web Services (AWS) <\/a> to collect the type of time-stamped data generated by industrial<\/a> equipment. You can adapt, expand and scale the concepts here to meet the needs of full industrial production needs. Here’s what we’ll use in the example and why.<\/p>\n