Back from Apply(ops) 23 conference
In mid-November, the Apply(ops) 23 conference, organized by Tecton and Demetrios Brinkmann, took place. Usually, I write a one-page summary for my teammates to share learnings and good references, which I also post on LinkedIn. However, this time, I decided to write an article instead as I found the slides and speech full of good tips. As the event was hosted by Tecton, there were live demos of their products and client feedback. I will not include these in my recap (though the content was valuable) because I want to keep my summary focused more on learning than on product demonstrations. Speaker: Min Cai, distinguished engineer of platform engineering, from his LinkedIn profile, seems to be the tech lead behind Michelangelo (the internal ML platform) and Horovod (a distributed deep learning framework, built on top of TensorFlow, PyTorch, etc.)* The talk mainly focused on the origin and direction of the internal ML platform, Michelangelo. This platform seems to have inspired many compa
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