Adrian Cockcroft
JANUARY 17, 2022
The other continuing trend is to custom silicon, with specialized accelerators and the ARM based Graviton range from AWS, Apple’s M1 series, Tesla’s in car processor and training engines etc. Coming up on Jan 26, 2022 I’ll be presenting at the online OReilly Software Architecture Superstream event.
O'Reilly
FEBRUARY 2, 2020
First, the behavior of an AI application depends on a model , which is built from source code and training data. You need a repository for models and for the training data. And that’s essential: if you need to understand how your model behaves, and you don’t have the training data, you’re sunk.
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Strategic Tech
MARCH 16, 2021
There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. Provide Design Training & Coaching Training can accelerate the design learning process for any engineer or architect.
Smashing Magazine
NOVEMBER 22, 2021
Improving The Performance Of Wix Websites (Case Study). Improving The Performance Of Wix Websites (Case Study). It was at this point that we realized we needed to make a significant change in our approach towards performance, and that we must embrace performance as part of our culture. Dan Shappir. Large preview ).
O'Reilly Software
OCTOBER 23, 2018
It's a given that we must design a system, including a local software architecture, that actually runs, that is "solid." The ones I focus on most are scalability, availability, maintainability, manageability, monitorability, extensibility, interoperability, portability, security, and performance. Solid doesn't mean inflexible.
Strategic Tech
JULY 22, 2019
You are free to return to the previous activity and update your candidate contexts or perform a second iteration of EventStorming. Iterating From Here As your domain flows identify relationships between bounded contexts you may immediately uncover obvious design flaws or missing capabilities.
The Netflix TechBlog
DECEMBER 3, 2019
On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. In this hypothetical example, the flow trains two versions of a model in parallel and chooses the one with the highest score.
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