Natale Vinto - Böcker
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3 produkter
3 produkter
476 kr
Skickas inom 7-10 vardagar
While containers, microservices, and distributed systems dominate discussions in the tech world, the majority of applications in use today still run monolithic architectures that follow traditional development processes. This practical book helps developers examine long-established Java-based models and demonstrates how to bring these monolithic applications successfully into the future.Relying on their years of experience modernizing applications, authors Markus Eisele and Natale Vinto walk you through the steps necessary to update your organization's Java applications. You'll discover how to dismantle your monolithic application and move to an up-to-date software stack that works across cloud and on-premises installations.Learn cloud native application basics to understand what parts of your organization's Java-based applications and platforms need to migrate and modernizeUnderstand how enterprise Java specifications can help you transition projects and teamsBuild a cloud native platform that supports effective development without falling into buzzword trapsFind a starting point for your migration projects by identifying candidates and staging them through modernization stepsDiscover how to complement a traditional enterprise Java application with components on top of containers and Kubernetes
Applied AI for Enterprise Java Development
Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise
Häftad, Engelska, 2025
476 kr
Skickas inom 7-10 vardagar
As a Java enterprise developer or architect, you know that embracing AI isn't just optional-it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity?Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to-it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge.Inside, you'll unlock the power to:Demystify GenAI's role and impact on contemporary software developmentCraft actionable, AI-driven applications using Java's rich ecosystem of open source frameworksImplement field-tested AI patterns tailored for prod-ready, enterprise-strength applicationsAccess and integrate top-tier open source AI models with Java's Inference APIsNavigate the Java framework landscape with AI-centric agility and confidence
575 kr
Skickas inom 7-10 vardagar
Why are so many companies adopting GitOps for their DevOps and cloud native strategy? This reliable framework is quickly becoming the standard method for deploying apps to Kubernetes. With this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices.Through their years of experience in application modernization, CI/CD, and automation, authors Alex Soto Bueno and Natale Vinto from Red Hat walk you through all the steps necessary for successful hands-on application development and deployment with GitOps. Once you start using the recipes in this book, you'll have a head start in development cycles on Kubernetes following the GitOps approach.You'll learn how to:Develop and deploy applications on KubernetesUnderstand the basics of CI/CD and automation on Kubernetes, and apply GitOps practices toimplement development cycles on the platformPrepare the app for deployment on multiple environments and/or multiple Kubernetes clustersDeploy apps for either multiple environments using GitOps and Argo CD, or for Kubernetes clustersCreate Kubernetes-native pipelines with TektonProvide and extend DevOps skills for the team working on KubernetesUse progressive delivery to put your applications into production