Working with sensor data, we need to store timestamped data in a way that was easily checked and show it in graphs. This post explains the process we follow to end up implementing a timeseries database on DynamoDB.
On a previous company the QA team needed to perform some scenarios that were difficult to reproduce, for instance force a buffering event. Their setup require deep technical understanding of Linux. In order to ease its world, I decided to create a neat service running on a Raspberry Pi.