Glen Knight

NYC Based IT Professional

IBM Develops AI Agents to Automate Software Engineering Tasks

IBM Research is testing a set of artificial intelligence (AI) agents that both discovers bugs in code found in a GitHub repository and recommendations to remediate them. Source: DevOps.com

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Survey Surfaces Software Supply Chain Security Gains

A survey of 106 leaders and practitioners involved in software supply chain security finds more than three-quarters of respondents (76%) work for organizations that have made software supply chain security a significant or top (24%) priority. Source: DevOps.com

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Symbiotic Security Platform Discovers Security Vulnerabilities as Developers Write Code

Symbiotic Security emerged from stealth this week to launch a namesake platform that enables application developers to discover and remediate vulnerabilities and other errors in real-time as code is being written. Source: DevOps.com

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Kloudfuse Adds Raft of Additional Capabilities to Unify Observability

Kloudfuse today updated its namesake observability platform to add support for continuous profiling and real user monitoring (RUM) along with additional analytics and artificial intelligence (AI) capabilities. Source: DevOps.com

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Four Steps to Balance Agility and Security in DevSecOps

Balancing agility and security in DevSecOps is achievable with the right mix of automation, collaboration and continuous feedback. By embedding security into agile processes, organizations can deliver software that is both fast and secure, meeting the demands of today’s fast-paced tech environment. Source: DevOps.com

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Observability in 2030: A Practitioner’s Wishlist

Observability in 2030 will require integrated telemetry across layers, events for context, and decoupling telemetry collection from analysis, ensuring seamless multi-signal observability. Source: DevOps.com

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Developer Experience Has Always Been a Profit Story

The true business value of providing a best-in-class developer experience is not being articulated enough, and that is — improved developer experience is a profit driver, not a cost center. Source: DevOps.com

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Goodbye, Git-Centricity: Getting to Green in an AI-Powered World

For decades in the software industry, we have focused on testing our applications under the reassuring streetlight of GitOps. It made sense in theory: Wait for changes to the codebase made by engineers, then trigger a re-test of your code. If your tests pass, you are good to go. Source: DevOps.com

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Ghosts in the Machine: How AI Agents Will Take Over DevOps

AI agents can transform DevOps practices, leading to more robust, efficient and cost-effective operations while freeing human engineers to focus on higher-level strategic tasks and innovation. Source: DevOps.com

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Breaking Free From the Dead Zone: Automating DevOps Shifts for Scalable Success

When building software, especially SaaS, sticking to manual processes in DevOps is like bringing a knife to a gunfight. Manual processes not only slow down operations but also open the door to mistakes that can escalate into significant problems. This tricky spot, where there’s not enough automation and too much room for human error, isn’t […]

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