Tagged “Mlops”
7 postsYou train it, you run it
The quote “You build it, you run it” is among the most influential quotes in modern software development. It has guided the conception of high-performing software teams since its inception. Pick any successful, software-driven …
A most unusual year
As this is the end of the year, it’s a great chance to remind yourself: how did we get here? Let me beginn with a flashback to 2019. As a company, we’re focussed on optimising remaining useful live of industrial assets through …
TMLS Summit 2020: The tale of a thousand pipelines
This is an Ops-guy’s story that tackles the process of building scalable deep learning pipelines for hundreds of model training on giant time-series datasets and on how it helped saved 80% of the cost along the way.
MLOps: Learning from history
TL;DR: Running successful ML teams and projects requires cross-functional collaboration within the executing team. That sentence alone does not help anyone. It feels unsubstantiated, and someone playing bullshit bingo might luck out just on …
12 factors of reproducible Machine Learning in production
The last two decades have yielded us some great understandings about Software Development. A big part of that is due to the emergence of DevOps and it’s wide adoption throughout the industry. Leading software companies follow identical …
A case for declarative configurations for ML training
No way around it: I am what you call an “Ops guy”. In my career I admin’ed more servers than I’ve written code. Over twelve years in the industry have left their permanent mark on me. For the last two of those …