From Microservices to Data Microservices

gowuche 2023-01-12 22:30:13

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From Microservices to Data Microservices	所有人

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Summary Enterprise Java Microservices is an example-rich tutorial that shows how to design and manage large-scale Java applications as a collection of microservices. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Large applications are easier to develop and maintain when you build them from small, simple components. Java developers now enjoy a wide range of tools that support microservices application development, including right-sized app servers, open source frameworks, and well-defined patterns. Best of all, you can build microservices applications using your existing Java skills. About the Book Enterprise Java Microservices teaches you to design and build JVM-based microservices applications. You'll start by learning how microservices designs compare to traditional Java EE applications. Always practical, author Ken Finnigan introduces big-picture concepts along with the tools and techniques you'll need to implement them. You'll discover ecosystem components like Netflix Hystrix for fault tolerance and master the Just enough Application Server (JeAS) approach. To ensure smooth operations, you'll also examine monitoring, security, testing, and deploying to the cloud. What's inside The microservices mental model Cloud-native development Strategies for fault tolerance and monitoring Securing your finished applications About the Reader This book is for Java developers familiar with Java EE. About the Author Ken Finnigan leads the Thorntail project at Red Hat, which seeks to make developing microservices for the cloud with Java and Java EE as easy as possible. Table of Contents Part 1. Microservices basics Chapter 1. Enterprise Java microservices Chapter 2. Developing a simple RESTful microservice Chapter 3. Just enough Application Server for microservices Chapter 4. Microservices testing Chapter 5. Cloud native development Part 2. Implementing Enterprise Java microservices Chapter 6. Consuming microservices Chapter 7. Discovering microservices for consumption Chapter 8. Strategies for fault tolerance and monitoring Chapter 9. Securing a microservice Chapter 10. Architecting a microservice hybrid Chapter 11. Data streaming with Apache Kafka Appendix. Spring Boot microservices

Beginning Spring 5: From Novice to Professional Get started with Spring Framework 5 and its ecosystem, with a guide to the working practices in modern development. This book will teach you how to use the Spring Framework to build Java-based applications, web applications, and microservices. You’ll see how Spring has drastically and positively affected the way we program and design applications in Java. Beginning Spring 5 discusses how you can build apps with the Spring mindset and what the benefits of that mindset are. Along the way you will learn many aspects of the Spring ecosystem with easy-to-understand applications designed to teach you not only the technology, but also the practices that benefit the most from Spring. What You Will Learn Discover the most common use cases encountered in the real world Create reliable, tested, modular software, building skills that will translate well across all languages and environments. Integrate and use data access and persistence frameworks such as Hibernate, JPA, and MongoDB Program functional or reactive Java with the latest Spring 5 features including WebFlux Who This Book Is For Those who are new to Spring or for those who have experience with Spring but want to learn what's new in Spring 5. This book assumes you have some prior coding experience in Java at least.

Cloud Native: Using Containers, Functions, and Data to Build Next-Generation Applications This comprehensive guide helps developers and architects understand current cloud-native technologies, with recommendations that explain when you need to use each one. Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the patterns you need for building cloud-native applications, and provide best practices for the most common tasks such as messaging, eventing, and DevOps. This practical book also delivers an architectural blueprint for a modern cloud-native application. You’ll learn about microservices, containers, serverless computing, storage types, data considerations, portability, and the use of functions. Differentiate between containers and functions, and understand when to use which technology Leverage Service Meshes to move complexity, such as distributed tracing and mutual TLS handshakes, away from the developer Use messaging and eventing as the glue for the cloud-native composite applications Handle state-in distributed applications Understand what makes your application portable

The internet contains a wealth of data. This data is both provided through structured APIs as well as by content delivered directly through websites. While the data in APIs is highly structured, information found in web pages is often unstructured and requires collection, extraction, and processing to be of value. And collecting data is just the start of the journey, as that data must also be stored, mined, and then exposed to others in a value-added form. With this book, you will learn many of the core tasks needed in collecting various forms of information from websites. We will cover how to collect it, how to perform several common data operations (including storage in local and remote databases), how to perform common media-based tasks such as converting images an videos to thumbnails, how to clean unstructured data with NTLK, how to examine several data mining and visualization tools, and finally core skills in building a microservices-based scraper and API that can, and will, be run on the cloud. Through a recipe-based approach, we will learn independent techniques to solve specific tasks involved in not only scraping but also data manipulation and management, data mining, visualization, microservices, containers, and cloud operations. These recipes will build skills in a progressive and holistic manner, not only teaching how to perform the fundamentals of scraping but also taking you from the results of scraping to a service offered to others through the cloud. We will be building an actual web-scraper-as-a-service using common tools in the Python, container, and cloud ecosystems.

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