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SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works 

DevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and operations, SRE emphasizes engineering reliability through metrics and accountability. By integrating both approaches, organizations can foster high-quality software delivery that meets reliability standards, streamline incident response, and utilize data-driven decision-making to maintain system performance. from DevOps.com https://ift.tt/yOvDuag
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Beyond Automation: How Generative AI in DevOps is Redefining Software Delivery 

Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical. from DevOps.com https://ift.tt/0R8FDi4
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Bridging the Dev–Security Gap With Smarter Authorization

Software teams have always lived with a built-in tension – developers push to ship fast, while security teams pump the brakes to assess risk. Now, with AI flooding the enterprise, that friction is spiking. One recent survey found a staggering 322% jump in privilege-escalation risks tied to AI-generated code. The root problem isn’t new – […] from DevOps.com https://ift.tt/r2s1V5x
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Arcjet SDKs Make It Simpler for Developers to Include Security Functions

Arcjet this week made available a software development kit (SDK) that makes it simpler for JavaScript developers to embed capabilities such as bot detection, rate limiting, email validation, attack protection and data redaction directly within their applications. Company CEO David Mytton said the release of v1.0 of its Arcjet JavaScript SDK makes it possible for […] from DevOps.com https://ift.tt/T8cj47e
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When Open Networks Meet AI Coding: A Tsunami of Smart Enterprise Apps 

The enterprise technology landscape is on the verge of a major transformation, driven by two key trends: open telecom network APIs and AI-powered coding platforms. This convergence allows businesses to create intelligent, network-aware applications rapidly, empowering them to leverage connectivity in innovative ways. As telcos position their networks as programmable platforms, and AI simplifies software development, organizations can expect a significant acceleration in application creation, leading to new business models and enhanced digital transformation. from DevOps.com https://ift.tt/a09hYlj
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CodeHunter API Integrates Deterministic AI Models into DevSecOps Workflows

CodeHunter, a provider of behavioral malware analysis and threat intelligence tools, today announced it is making available an application programming interface (API) to make it simpler to embed the capabilities it provides within a DevSecOps workflow. At its core, CodeHunter makes use of a set of deterministic AI models that it has developed to analyze […] from DevOps.com https://ift.tt/3hHQpXW
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How AI Helps Teams Track Dependencies and Reduce Delivery Risk

AI is showing up everywhere in software delivery, but project management is where a lot of the real friction lives. Newly appointed Planview CEO Matt Zilli talks through why planning and delivery still break down inside modern organizations, even when teams have more data and more tools than ever. Zilli’s point is simple: the problem […] from DevOps.com https://ift.tt/lkeGFcP
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