Episode 204: FOSSY 2023 with Adam Monsen

Guest Adam Monsen Panelist Richard Littauer Show Notes Hello and welcome to Sustain! Richard is in Portland at FOSSY, the Free and Open Source Software Yearly conference that is held by the Software Freedom Conservancy. In today’s episode, Richard is joined by Adam Monsen, co-founder of the open source conference, SeaGL, and author of the soon-to-be-published book, Steadfast Self-Hosting: Rapid-Rise Personal Cloud, which aims to guide individuals and groups towards personal data control, an important step towards autonomy, agency, and freedom. The discussion highlights the value of self-hosting data, its potential applications, and the benefits it can bring to small and mid-sized businesses. Adam shares that his book is free and open for remixing and reprinting, and it will not only be a guide but also serve as a starting point for tech authors. Hit download now to hear more! [00:01:36] Adam talks about his book which aims to guide people on how to maintain control over their personal data. [00:02:33] The conversation moves towards the difficulties faced while extracting personal data from large tech companies, and Adam suggests the use of open source servers and software like Nextcloud to migrate data. [00:03:31] Adam mentions that the first step towards data sovereignty could be purchasing his book, which provides guidance on setting up personal servers and services. [00:06:11] Why did Adam write this book? He explains why and shares his experience with self-hosting data for his family and emphasizes that doing this for a group can be empowering and meaningful. [00:07:27] Richard brings up the shift from cloud to self-hosting by Basecamp and he wonders if Adam thought about pitching any of his book towards businesses to host their own data. [00:09:53] Richard mentions a group in the UK working to create a standard for APIs to allow users to extract their data from big tech companies and maintain ownership. [00:11:11] Adam affirms his willingness to contribute and underscores the value of individual data