Glen Knight

NYC Based IT Professional

Unlocking Better DevEx: Four Areas to Improve and KPIs

No matter how comprehensive a plan to improve DevEx is, there is still no silver bullet. But these focus areas and KPIs will provide structure to your approach. Source: DevOps.com

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DevOps for Machine Learning and Artificial Intelligence

DevOps for machine learning and artificial intelligence, known as MLOps, evolves to meet the demands of the AI landscape. Source: DevOps.com

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Clearscale Solution Overview

Source: DevOps.com

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Secure Code Warrior Unveils Agent to Manage Commit Permissions

Secure Code Warrior (SCW) today added an agent to its portfolio of application security that assesses the security competency of developers as they commit code to a repository. Source: DevOps.com

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Image Recognition

An NVIDIA H100 card, typical for AI work, costs $29,449.95 on Amazon. Go figure. Source: DevOps.com

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CrowdStrike Software Update Sparks Microsoft Outage, Global Chaos

Airlines, hospitals, banks and other businesses were disrupted when a faulty software update knocked Windows users of their systems. Source: DevOps.com

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Quali Bakes Generative AI into Environment as Code Platform

Quali has added a generative artificial intelligence (AI) capability to its Torque platform for managing infrastructure-as-code that enables DevOps teams to use natural language to describe a template, that is then automatically created and implemented. Source: DevOps.com

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AI-Powered Solutions for Azure DevOps Pipelines

The integration of artificial intelligence (AI) into Azure DevOps pipelines transforms the manual software development and delivery process. Source: DevOps.com

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Survey Surfaces Troubling Signs of Software Supply Chain Insecurity

A survey of software engineering professions has uncovered disconcerting signs of software supply chain insecurity. Source: DevOps.com

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Pair of Surveys Surface Primary Developer Productivity Challenges

A survey of 900 developers finds well over two-thirds (69%) said developers are losing eight or more hours of their working week to inefficiencies created by, for example, technical debt, insufficient documentation and flawed build processes. Source: DevOps.com

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