This e-book explores the growing role of AI in application development, focusing on vibe coding and agentic coding. It also discusses the foundations of AI-assisted application development, including internal developer platforms (IDPs), platform engineering, and software supply chain security.
Software supply chain security for cloud-native applications requires months of effort for code to stay compliant to the organization's security practices. Red Hat Trusted Software Supply Chain accelerates this effort for platform engineering teams by bringing Red Hat’s own mature, open source software supply chain practice to mitigate and reduce risks in software delivery, for development and security teams to instantly adopt with low effort and cost.
Platform Engineering is a high-demand career joining the expertise from software development and DevOps to create internal developer platforms (IDPs) that accelerate development.
Struggling to turn AI pilots into real results? Learn how Dell AI Factory with NVIDIA help organizations accelerate enterprise AI adoption with a scalable, cost-efficient AI factory built for real ROI.
Read this white paper for seven steps to implementing a proactive approach to secure your organization’s Kubernetes cluster from cyberattacks and ensure cyber resilience.
Your virtualization journey should move at your pace. Explore how Insight and Dell Technologies help you plan, simplify, and modernize your infrastructure on your own terms. Download the infographic to chart your path forward.
This paper explores why financial institutions must overhaul legacy application stacks to unlock AI at scale, from high frequency trading to fraud detection and customer personalization. It explains how modern infrastructure, hybrid cloud strategies and unified data architectures help firms meet AI performance demands while keeping tight control over risk, compliance and cost.
Enterprises are racing to develop generative AI but struggle with its challenges. Understanding AI’s evolution is key to leveraging its potential. Download the guide to explore its history, strategy considerations, and expert insights.
This book provides an introductory overview to LLMs and gen AI applications, along with techniques for training, tuning, and deploying machine learning (ML) models.
Discover how to overcome the top challenges in deploying AI at scale.