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Nurturing Design in Your Software Engineering Culture

Strategic Tech

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.

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Modelling Bounded Contexts with the Bounded Context Design Canvas: A Workshop Recipe

Strategic Tech

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.

Design 76
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Trends and Topics for 2022

Adrian Cockcroft

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. primarily virtual?—?and

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How the Swedish Transport Agency learned distributed systems in six months

Particular Software

In-person training and conferences have been postponed, cancelled, or transitioned to the virtual world. We’ve certainly been affected by this shift at Particular with the cancellation of our popular Advanced Distributed Systems Design (ADSD) course this year. My colleagues who’d attended it before felt the same way.

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How architecture evolves into strategy

O'Reilly Software

Likewise, the term "architect" didn't enter popular usage to describe a role in the software field until the late 1990s. It's a given that we must design a system, including a local software architecture, that actually runs, that is "solid." the user experience and design) and within the software construction itself.

Strategy 100
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. 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. It leverages elasticity of the cloud by design?—?both

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 138