Remove Automotive Remove Cloud Remove Continuous Delivery Remove Microservices
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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

consumer goods, energy, healthcare, logistics, automotive, etc.) Cloud Computing Holds the Key to ML Computing Woes. So, the issue of computing is entirely solved by cloud computing. Now you have to manage your avalanche of microservices to enable those machine learning workflows you’ve always dreamed about.

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What Are Feature Flags?

LaunchDarkly

Companies utilizing continuous integration/continuous delivery (CI/CD) or Progressive Delivery rely on feature management practices to gradually roll out features to users. Continuous delivery is the ability to shorten release cycles and get new functionality in the user’s hands quickly and safely.

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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape.

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Grown-Up Lean

LeanEssays

and whole new category of cloud services was born. Roots of Lean Product Development During the 1980’s, when it became apparent that Japanese automotive companies were making higher quality, lower cost cars than US automotive companies, Boston rivals MIT and Harvard Business School started programs to investigate the situation.

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Lean Software Development: The Backstory

LeanEssays

In Boston, both MIT and Harvard Business School responded by launching extensive studies of the automotive industry. Clark and Fujimoto noted that the distinguishing features of Japanese product development paralleled features found in Japanese automotive production. 1990), which gave us the term “lean.”