Platform Engineering 02 - Anatomy of an Internal Developer Platform
What actually goes inside an Internal Developer Platform โ the five planes, how they connect, and the build vs buy decision
Thoughts on code, technology, and everything in between
Building reliable ML systems from data pipelines to production monitoring
From finite automata and formal languages to building a compiler from scratch
Understanding the Linux kernel from processes and memory to containers
Understanding the principles behind Internal Developer Platforms, golden paths, and developer self-service
Comprehensive Python programming course from basics to advanced topics
What actually goes inside an Internal Developer Platform โ the five planes, how they connect, and the build vs buy decision
Why MLOps is necessary and what the real challenges of the ML lifecycle are
Moving beyond regular languages with the structure and role of context-free grammars
What an operating system does and the role of the Linux kernel
What platform engineering actually is, why it emerged, and how it differs from DevOps
How regular expressions are equivalent to finite automata, and where the boundary of regular languages lies
What finite automata are and why understanding compilers starts here
Deep dive into how Python classes work internally, uncovering the secrets of bound methods and descriptors
Learn about Python's container concept, list internals, and efficient iteration with generators