Pierluigi Riti – författare

Build domain specific languages (DSLs) using Java's most popular functional programming language: Scala. This book introduces the basics of Scala and DSLs using a series of practical examples. In Practical Scala DSLs, you’ll learn to create pragmatic and complete code examples that explain the actual use of DSLs with Scala: a web API and microservices; a custom language; a mobile app; a Forex system; a game; and cloud applications.  At the end of this unique book, you’ll be able to describe the differences between external and internal DSLs; understand when and how to apply DSLs; create DSLs using Scala; and even create a DSL using another programming language.What You'll LearnBuild DSLs in ScalaWrite a web API and microservicesCreate a custom languageApply DSLs to mobile apps development, a Forex trading system, game development, and moreDiscover the role of DSLs in cloud development Integrate DSLs as part of a DevOps program or structureBuild internal and external DSLsWho This Book Is ForExperienced Java coders with at least some prior experience with Scala. You may be new to DSLs.

Build domain specific languages (DSLs) using Java''s most popular functional programming language: Scala. This book introduces the basics of Scala and DSLs using a series of practical examples. In Practical Scala DSLs, you’ll learn to create pragmatic and complete code examples that explain the actual use of DSLs with Scala: a web API and microservices; a custom language; a mobile app; a Forex system; a game; and cloud applications.  At the end of this unique book, you’ll be able to describe the differences between external and internal DSLs; understand when and how to apply DSLs; create DSLs using Scala; and even create a DSL using another programming language.What You''ll LearnBuild DSLs in ScalaWrite a web API and microservicesCreate a custom languageApply DSLs to mobile apps development, a Forex trading system, game development, and moreDiscover the role of DSLs in cloud development Integrate DSLs as part of a DevOps program or structureBuild internal and external DSLsWho This Book Is ForExperienced Java coders with at least some prior experience with Scala. You may be new to DSLs.  

Use DevOps principles with Google Cloud Platform (GCP) to develop applications and services. This book builds chapter by chapter to a complete real-life scenario, explaining how to build, monitor, and maintain a complete application using DevOps in practice.Starting with core DevOps concepts, continuous integration, and continuous delivery, you’ll cover common tools including Jenkins, Docker, and Kubernetes in the context of a real microservices application to deploy in the cloud. You will also create a monitor for your cloud and see how to use its data to prevent errors and improve the stability of the system. By the end of Pro DevOps with Google Cloud Platform, you will be able to deploy, maintain, and monitor a real application with GCP.What You Will LearnBuild and deploy applications and services using DevOps on Google Cloud Platform Maintain a complete continuous integration (CI) and continuous delivery (CD) pipelineUse containerization with Docker and KubernetesCarry out CD with GCP and JenkinsCreate microservices with Jenkins, Docker, and KubernetesMonitor your newly deployed application and its deployment and performanceSet up security and manage your network with GCP Who This Book Is ForDevelopers and software architects who want to implement DevOps in practice. Some prior programming experience is recommended as well as a basic knowledge of a Linux command-line environment.

Use DevOps principles with Google Cloud Platform (GCP) to develop applications and services. This book builds chapter by chapter to a complete real-life scenario, explaining how to build, monitor, and maintain a complete application using DevOps in practice.Starting with core DevOps concepts, continuous integration, and continuous delivery, you’ll cover common tools including Jenkins, Docker, and Kubernetes in the context of a real microservices application to deploy in the cloud. You will also create a monitor for your cloud and see how to use its data to prevent errors and improve the stability of the system. By the end of Pro DevOps with Google Cloud Platform, you will be able to deploy, maintain, and monitor a real application with GCP.What You Will LearnBuild and deploy applications and services using DevOps on Google Cloud Platform Maintain a complete continuous integration (CI) and continuous delivery (CD) pipelineUse containerization with Docker and KubernetesCarry out CD with GCP and JenkinsCreate microservices with Jenkins, Docker, and KubernetesMonitor your newly deployed application and its deployment and performanceSet up security and manage your network with GCP Who This Book Is ForDevelopers and software architects who want to implement DevOps in practice. Some prior programming experience is recommended as well as a basic knowledge of a Linux command-line environment.

Get started with programming and using the Hashicorp Language (HCL). This book introduces you to the HCL syntax and its ecosystem then it shows you how to integrate it as part of an overall DevOps approach.Next, you’ll learn how to implement infrastructure as code, specifically, using the Terraform template, a set of cloud infrastructure automation tools. As part of this discussion, you’ll cover Consul, a service mesh solution providing a full-featured control plane with service discovery, configuration, and segmentation functionality. You’ll integrate these with Vault to build HCL-based infrastructure as code solutions.  Finally, you’ll use Jenkins and HCL to provision and maintain the infrastructure as code system. After reading and using Beginning HCL Programming, you'll have the know-how and source code to get started with flexible HCL for all your cloud and DevOps needs.  What You Will LearnGet started with programming and using HCLUse Vault, Consul, and Terraform Apply HCL to infrastructure as codeDefine the Terraform template with HCL Configure Consul using HCLUse HCL to configure VaultProvision and maintain infrastructure as code using Jenkins and HCLWho This Book Is ForAnyone new to HCL but who does have at least some prior programming experience as well as knowledge of DevOps in general.

Get started with programming and using the Hashicorp Language (HCL). This book introduces you to the HCL syntax and its ecosystem then it shows you how to integrate it as part of an overall DevOps approach.

Next, you’ll learn how to implement infrastructure as code, specifically, using the Terraform template, a set of cloud infrastructure automation tools. As part of this discussion, you’ll cover Consul, a service mesh solution providing a full-featured control plane with service discovery, configuration, and segmentation functionality. You’ll integrate these with Vault to build HCL-based infrastructure as code solutions.  

Finally, you’ll use Jenkins and HCL to provision and maintain the infrastructure as code system. After reading and using Beginning HCL Programming, you''ll have the know-how and source code to get started with flexible HCL for all your cloud and DevOps needs.  

What You Will Learn

Get started with programming and using HCL Use Vault, Consul, and Terraform Apply HCL to infrastructure as code Define the Terraform template with HCL Configure Consul using HCL Use HCL to configure Vault Provision and maintain infrastructure as code using Jenkins and HCL

Who This Book Is For

Anyone new to HCL but who does have at least some prior programming experience as well as knowledge of DevOps in general. 

Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics.The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia’s AI capabilities to construct Artificial Neural Networks. You’ll then explore advanced AI models, such as variational autoencoders, in order to generative images and text.Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources.What You Will Learn Acquire a solid foundation of Generative AI basics.Utilize the capabilities of Python and Julia to constructure Artificial Neural NetworksExplore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is ForProgrammers new to artificial intelligence, but with a fundamental grasp of Python.