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Anything But Tech Debt

Honeycomb

I took this diagram and drew a red dotted line around each slice referred to as “tech debt” at one point or another. Stakeholders sometimes feel like engineering teams spend a lot of time on tech debt, but once you take the time to unpack all the work in the category, the exact reason for this is obvious.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

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. Software Architecture. The new category is often called MLOps.

DevOps 142
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Talks With Software Development Experts Initiative – Part 3

Apiumhub

Welcome to the third and last part of our Talks With Software Development Experts series. As we have mentioned before, this initiative is a section where we interview software engineers and industry experts to learn more about their professions, efforts, hobbies, and perspectives on a variety of tech-related issues.

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5 Books for QA Engineers

Apiumhub

The book overviews the approach Google takes to testing software followed by chapters dedicated to the two test engineering roles at Google which are the Software Engineer in Test (SET) and Test Engineer (TE) roles and finally the Test Engineering Manager responsibility.

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Establishing and Enabling a Center of Production Excellence

Honeycomb

For the sake of concision, I’ll refer to this as a Center of Production Excellence (CoPE). This is analogous to safety departments in organizations that attempt to do resilience engineering. To counter this, one might consider adopting the model of the Engineer/Manager Pendulum or other techniques of rotating leaders like sortition.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. Unlike traditional software engineering projects, AI product managers must be heavily involved in the build process.

Marketing 145
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Reading List: 2019 Edition

Daniel Bryant

Software Engineering Daily , The Herd with Colin Cowherd (mainly for the NFL coverage), and the Bowery Boys New York City History (exploring my love of all-things NYC!) I’ve included links on the book titles below, and these are affiliate links that go to Amazon.co.uk.