[samuell]

I'm a lot into how to streamline data architectures, especially around ML solutions, so some titles related to that.

I'm already reading Kleppman's book right now. Tons of very useful knowledge, although quite detailed, and a lot of details around distributed computing, consensus algorithms etc (Part II), which I'm not sure I will need and which make the book rather long. Still, surely worth pressing through.

Some titles I would like to dive into in the summer:

- "The Art of Immutable Architecture" by Michael Perry. Possibly also:

- "Machine Learning Design Patterns" by by Valliappa Lakshmanan et al.

- "Building Secure and Reliable Systems" by by Heather Adkins et al.

And perhaps something lighter, more inspirational for the day to day work:

- "Coders at work" by Peter Seibel