Design Performance Software Architecture Training 
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. Both valuing design and striving for continuous delivery are necessary. So we need to make it part of everything we do.
Strategic Tech
JULY 22, 2019
In Domain-Driven Design, a large system is decomposed into bounded contexts , which become natural boundaries in code as microservices and as teams in the organisation. The Bounded Context Design Canvas I designed this canvas based on the typical flow of strategic DDD workshops I run publicly and privately.
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Adrian Cockcroft
JANUARY 17, 2022
I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures. The need for systems to be resilient is still increasing, and chaos engineering tools and techniques are developing as a key way to validate that resilience is working as designed.
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." This is supported in real terms through standards and consistent application of conventions, both in the information architecture (i.e., Adding security reduces performance.
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.
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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