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5 ways to maximize your cloud investment

CIO

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. We need hard metrics because we’re running 800 instances of cloud computers.

Cloud 312
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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

As little as 5% of the code of production machine learning systems is the model itself. 2015): Hidden Technical Debt in Machine Learning Systems. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. This in turn means the recommendations deteriorate over time due to a lack of signals.

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Chaos Engineering and Continuous Verification in Production

LaunchDarkly

Casey debunked the myths of reliability , explaining how many of the intuitive steps people take to make systems more reliable are actually counterproductive. I’m going to start by presenting a couple of myths about reliable systems about what makes systems reliable. So, the same applies for your system.

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The Cloud Cost-Conscious Conundrum

taos

Frankly, I don’t know a single CIO, CTO or VP of Engineering or Operations that would disagree with me. Data storage, logic hosting and monitoring tools exist and provide quick integration into existing system designs. And why build your own system monitoring or log aggregation solution when a service can be consumed?

Cloud 40
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The Art of Agile Development, Second Edition

James Shore

Before we get going, I want to remind you all that this show—and in fact, the writing of the book—is made possible by the people who hire me for training and consulting. First, business analysts would interview stakeholders and document the system requirements. I’m really proud of it. It may be a way to fame. In theory, anyway.).

Agile 99