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  • Book Overview & Buying Spring 5.0 Microservices
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Spring 5.0 Microservices

Spring 5.0 Microservices - Second Edition

By : V
3.7 (18)
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Spring 5.0 Microservices

Spring 5.0 Microservices

3.7 (18)
By: V

Overview of this book

The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework’s core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring that focuses on Reactive Programming, you’ll be able to build modern, internet-scale Java applications in no time. The book starts off with guidelines to implement responsive microservices at scale. Next, you will understand how Spring Boot is used to deploy serverless autonomous services by removing the need to have a heavyweight application server. Later, you’ll learn how to go further by deploying your microservices to Docker and managing them with Mesos. By the end of the book, you will have gained more clarity on the implementation of microservices using Spring Framework and will be able to use them in internet-scale deployments through real-world examples.
Table of Contents (12 chapters)
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Data analysis using Data Lake


Just like the scenario of fragmented logs and monitoring, fragmented data is another challenge in microservice architecture. Fragmented data poses challenges in data analytics. This data may be used for simple business event monitoring, data auditing, or even for deriving business intelligence out of the data.

Data Lake or a data hub is an ideal solution to handle such scenarios. The event-sourced architecture pattern is generally used to share state and state changes as events with an external data store. When there is a state change, microservices publish the state change as events. Interested parties may subscribe to these events and process them based on their requirements. A central event store can also subscribe to these events and store them in a big data store for further analysis.

One of the commonly followed architectures for such data handling is shown in the following diagram:

The state change events generated from the microservices, in our case, Search...

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