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Building High-Quality Software

DZone

If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. I really like what one of the smartest people with whom I worked said: “A good design is a design where you can see the code”. You may think that you know how the system works.

Software 245
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Architecture & DDD Kata: Online Car Dealership

Strategic Tech

I’ve just created a new kata which you and your team/friends can use to practice your architecture and domain-driven design skills. This kata is split into four sections that address different aspects of architecting software systems. Is each domain core, supporting, or generic? There’s no correct answer for this activity.

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Enterprise Architecture in a Product-Oriented DevOps World

Strategic Tech

However, if nobody reads the documentation and it gets out of date quickly, it’s a tick-box exercise rather than a value creating one. designing systems that document themselves. It helps people to understand the complex systems they are working with. I believe that Enterprise Architects should focus on creating living documentation?—?designing

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How the Swedish Transport Agency learned distributed systems in six months

Particular Software

We’ve certainly been affected by this shift at Particular with the cancellation of our popular Advanced Distributed Systems Design (ADSD) course this year. We skipped a few sessions (the exercises), but in retrospect we should have watched them all I think. Q: How long did it take? We spent maybe 5 hours each day watching the videos.

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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. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. It leverages elasticity of the cloud by design?—?both

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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. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. 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