Web Development with Node and Express, 2nd Edition
Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express fundamentals by walking you through the development of an example application. This hands-on guide covers everything from server-side rendering to API development suitable for usein single-page apps (SPAs). Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. Frontend and backend engineers familiar with JavaScript will also learn best practices for building multipage and hybrid web apps with Express. Pick up this book anddiscover new ways to look at web development. Create a templating system for rendering dynamic data; Dive into request and response objects, middleware, and URL routing; Simulate a production environment for testing; Persist data in document databases with MongoDB and relational databases with PostgreSQL; Make your resou ...
Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express fundamentals by walking you through the development of an example application. This hands-on guide covers everything from server-side rendering to API development suitable for usein single-page apps (SPAs). Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. Frontend and backend engineers familiar with JavaScript will also learn best practices for building multipage and hybrid web apps with Express. Pick up this book anddiscover new ways to look at web development. Create a templating system for rendering dynamic data; Dive into request and response objects, middleware, and URL routing; Simulate a production environment for testing; Persist data in document databases with MongoDB and relational databases with PostgreSQL; Make your resou ...
React and Libraries
Harness the power of React and the related libraries that you need to know to deliver successful front-end implementations. Whether you are a beginner getting started or an existing React developer, this book will provide you with the must-have knowledge you need in your toolbox to build a complete app. Start by learning how to create and style your own components, add state management, and manage routing. You'll also learn how to work with the backend using the MERN stack (MongoDB, Express, React, and Node.js). Once you have completed building your app you will learn how to deliver quality software by conducting unit testing, integration testing, and end-to-end (E2E) testing, as well as learn techniques to debug, profile, and optimize your React app. Libraries and tools covered include TypeScript, Material-UI, Styled Components, SCSS, React Router, Redux Toolkit, Recoil, Jest, Enzyme, Sinon, MongoDB, NodeJS, Express, Serve, Grunt, Puppeteer, ESLint, Prettier and many others. And, ...
Harness the power of React and the related libraries that you need to know to deliver successful front-end implementations. Whether you are a beginner getting started or an existing React developer, this book will provide you with the must-have knowledge you need in your toolbox to build a complete app. Start by learning how to create and style your own components, add state management, and manage routing. You'll also learn how to work with the backend using the MERN stack (MongoDB, Express, React, and Node.js). Once you have completed building your app you will learn how to deliver quality software by conducting unit testing, integration testing, and end-to-end (E2E) testing, as well as learn techniques to debug, profile, and optimize your React app. Libraries and tools covered include TypeScript, Material-UI, Styled Components, SCSS, React Router, Redux Toolkit, Recoil, Jest, Enzyme, Sinon, MongoDB, NodeJS, Express, Serve, Grunt, Puppeteer, ESLint, Prettier and many others. And, ...
Logging in Action
Logging in Action is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You'll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you'll get hands-on experience applying structure to your unstructured data. Don't fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it's a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems. Logging in Action teaches you to record and analyze application and infrastructure data using Fluent ...
Logging in Action is a guide to optimize and organize logging using the CNCF Fluentd and Fluent Bit projects. You'll use the powerful log management tool Fluentd to solve common log management, and learn how proper log management can improve performance and make management of software and infrastructure solutions easier. Through useful examples like sending log-driven events to Slack, you'll get hands-on experience applying structure to your unstructured data. Don't fly blind! An effective logging system can help you see and correct problems before they cripple your software. With the Fluentd log management tool, it's a snap to monitor the behavior and health of your software and infrastructure in real time. Designed to collect and process log data from multiple sources using the industry-standard JSON format, Fluentd delivers a truly unified logging layer across all your systems. Logging in Action teaches you to record and analyze application and infrastructure data using Fluent ...
Spring Data Programming Cookbook
Spring Data's mission is to provide a familiar and consistent, Spring-based programming model for data access while still retaining the special traits of the underlying data store. It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. The projects are developed by working together with many of the companies and developers that are behind these exciting technologies. In this open book, we provide a compilation of Spring Data examples that will help you kick-start your own projects. We cover a wide range of topics, from setting up the environment and creating a basic project, to handling the various modules (e.g. JPA, MongoDB, Redis etc.). With our straightforward tutorials, you will be able to get your own projects up and running in minimum time. ...
Spring Data's mission is to provide a familiar and consistent, Spring-based programming model for data access while still retaining the special traits of the underlying data store. It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. The projects are developed by working together with many of the companies and developers that are behind these exciting technologies. In this open book, we provide a compilation of Spring Data examples that will help you kick-start your own projects. We cover a wide range of topics, from setting up the environment and creating a basic project, to handling the various modules (e.g. JPA, MongoDB, Redis etc.). With our straightforward tutorials, you will be able to get your own projects up and running in minimum time. ...
JavaScript from Frontend to Backend
JavaScript, the most widely used programming language in the world, has numerous libraries and modules and a dizzying array of need-to-know topics. Picking a starting point can be difficult. Enter JavaScript from Frontend to Backend. This concise, practical guide will get you up to speed in next to no time. This book begins with the basics of variables and objects in JavaScript and then moves quickly on to building components on the client-side with Vue.js and a simple list management application. After that, the focus shifts to the server-side and Node.js, where you'll examine the MVC model and explore the Express module. Once you've got to grips with the server-side and the client-side, the only thing that remains is the database. You'll discover MongoDB and the Mongoose module. In the final chapter of this fast-paced guide, you'll combine all these pieces to integrate a Vue.js application into a Node.js server, using Express to structure the server code and MongoDB to store the i ...
JavaScript, the most widely used programming language in the world, has numerous libraries and modules and a dizzying array of need-to-know topics. Picking a starting point can be difficult. Enter JavaScript from Frontend to Backend. This concise, practical guide will get you up to speed in next to no time. This book begins with the basics of variables and objects in JavaScript and then moves quickly on to building components on the client-side with Vue.js and a simple list management application. After that, the focus shifts to the server-side and Node.js, where you'll examine the MVC model and explore the Express module. Once you've got to grips with the server-side and the client-side, the only thing that remains is the database. You'll discover MongoDB and the Mongoose module. In the final chapter of this fast-paced guide, you'll combine all these pieces to integrate a Vue.js application into a Node.js server, using Express to structure the server code and MongoDB to store the i ...
From Containers to Kubernetes with Node.js
This book is designed as an introduction to containers and Kubernetes by way of Node.js. Containers are the basis for distributed, repeatable workflows with orchestrators such as Kubernetes, and they allow developers and operators to develop applications consistently across environments and deploy in a repeatable and predictable fashion. The examples in this book focus on Node.js, a JavaScript runtime, and demonstrate how to develop an application that communicates with a MongoDB backend. Though the chapters of the book cover cumulative topics - from how to develop a stateless application, to adding storage, to containerization - they can also be used as independent guides. Feel free to use the chapters in order, or jump to the discussion that best suits your purpose. ...
This book is designed as an introduction to containers and Kubernetes by way of Node.js. Containers are the basis for distributed, repeatable workflows with orchestrators such as Kubernetes, and they allow developers and operators to develop applications consistently across environments and deploy in a repeatable and predictable fashion. The examples in this book focus on Node.js, a JavaScript runtime, and demonstrate how to develop an application that communicates with a MongoDB backend. Though the chapters of the book cover cumulative topics - from how to develop a stateless application, to adding storage, to containerization - they can also be used as independent guides. Feel free to use the chapters in order, or jump to the discussion that best suits your purpose. ...
Beginning Spring Boot 3, 2nd Edition
Learn the Spring Boot 3 micro framework and build your first Java-based cloud-native applications and microservices. Spring Boot is the lightweight, nimbler cousin to the bigger Spring Framework, with plenty of "bells and whistles." This updated edition includes coverage of Spring Native, which will help you speed up your Spring Boot applications, as well as messaging with Spring Boot, Spring GraphQL, Spring Data JDBC and reactive relational database connectivity (R2DBC) with SQL. This new edition also covers enhancements to actuator endpoints, MongoDB 4.0 support, layered JAR and WAR support, support to build OCI images using Cloud Native Build Packs, changes to the DataSource initialization mechanism, and how bean validation support has moved to a separate spring-boot-validation-starter module. This book will teach you how to work with relational and NoSQL databases for data accessibility using Spring Boot with Spring Data, how to persist data with the Java Persistence APIs (JPA), ...
Learn the Spring Boot 3 micro framework and build your first Java-based cloud-native applications and microservices. Spring Boot is the lightweight, nimbler cousin to the bigger Spring Framework, with plenty of "bells and whistles." This updated edition includes coverage of Spring Native, which will help you speed up your Spring Boot applications, as well as messaging with Spring Boot, Spring GraphQL, Spring Data JDBC and reactive relational database connectivity (R2DBC) with SQL. This new edition also covers enhancements to actuator endpoints, MongoDB 4.0 support, layered JAR and WAR support, support to build OCI images using Cloud Native Build Packs, changes to the DataSource initialization mechanism, and how bean validation support has moved to a separate spring-boot-validation-starter module. This book will teach you how to work with relational and NoSQL databases for data accessibility using Spring Boot with Spring Data, how to persist data with the Java Persistence APIs (JPA), ...
Beginning Spring Data
Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you'll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. ...
Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you'll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. ...
Advanced Data Analytics Using Python, 2nd Edition
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpa ...
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpa ...