MLOps Shenanigans
Martynas ŠubonisThe newsletter for ML platform builders and MLOps practitioners
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
|---|---|---|---|---|---|
| Issues | 19 | Founded | 2 years ago | Last Issue | 4 months ago |
| Active | |||||
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martynassubonis.substack.comLatest Issues
Functional Programming Bits in Python
Functional Programming (FP) practitioners might not like hearing Python and FP mentioned in the same context, as in Python:
- Immutability can get expensive because it lacks standard-library persistent data structures with structural sha...
InfiniBand and High-Performance Clusters
In the early 2000s, Mellanox published “Introduction to InfiniBand”, arguing that while Moore’s Law keeps improving chips, overall system performance is ultimately bound by Amdahl’s Law, meaning CPUs, memory bandwidth, and I/O must scale to...
MLOps Shenanigans: Wrapping Up 2025
As 2025 is coming to an end, I thought it made sense to close the year with a short note.
First, thanks to everyone who took the time to read. Especially those who engaged with the posts. The original goal of this newsletter was fairly sim...
Advanced, Overlooked Python Typing
There is a common debate in Python circles: if you want static typing, why choose Python to begin with? One should just pick a language that supports it natively. The argument has some merit, but it assumes a world where one can “just pick”...
Scheduling ML Workloads on Kubernetes
The kube-scheduler is Kubernetes’ default scheduler, responsible for assigning newly created pods to suitable nodes. Scheduling happens in two phases: filtering and scoring. During the filtering phase, the scheduler evaluates hard requireme...
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Authors
The writers behind this newsletter.
ML platform engineer with a background in data science and physics
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