Today InOrbit announces the release of Data Backfill, adding to our growing list of RobOps tools designed to address specific challenges companies face when managing robot fleets at scale. This is another piece of the puzzle for how to maintain end-to-end observability under even the most demanding conditions, eliminating gaps in collected data by reconstructing a robot’s operating history through offline data saved and backfilled upon reconnection.
This past year saw major changes for InOrbit, and we couldn’t be happier with the results. Through experiment-led development, lots of trial and error, and some great connections with our friends and family in the robotics community (that’s all of you), we’ve made our platform more accessible, and robust for our users.
As 2021 comes to a close we are taking time to look back and reflect, if only for a few minutes on the year that was, and highlight some of our successes.
The value of early feedback in any product development – including software – is, well, invaluable.
Software development has evolved over the last 20 years to allow for more incremental or iterative development, to help eliminate the problems of delivering a product that a customer doesn’t want. We all know software engineers who have suffered from spending monumental time and effort on creating something that ends up being the wrong product, tool or app.