Titlebook: Java Microservices and Containers in the Cloud; With Spring Boot, Ka Binildas A. Christudas Book 2024 Binildas A. Christudas 2024 Java Mico

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More Hands-on Microservices,xtends that example by creating a few more microservices, each one in increasing order of complexity. This will enable you to build on your prior learnings. You will interact with a few real databases and firm up your knowledge of the ports and adapters architecture introduced in Chapter ..

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Onion and Hexagonal Architecture in Practice,realized by lightweight containers like Spring and Spring Boot to provide on-demand adapters at runtime. This chapter expands on those concepts by introducing the Onion architecture, with more precise and concrete examples.

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Message Oriented Microservices,ervice using a client device (a browser). Because microservices are “micro” in nature, multiple microservices must often communicate with each other to meet useful business functionalities. These inter-microservices communications can be within a business domain or across business domains. This chap

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Microservices Integration in Practice,anner. You have seen a few hands-on examples. Some engineers are still skeptical about whether they can use events and event paradigms for inter-microservices communication in comparison to the manner they use synchronous REST style. This chapter throws some light onto some of these issues. This cha

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Production Grade Message Oriented Microservices,oupled manner. Messaging channels are typically characterized by the asynchronous style of interaction, but Chapters . and . attempted to show how a synchronous user experience can be attained, even over asynchronous messaging channels. This is the first step in providing confidence that loosely cou

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Introducing Docker,tion was made possible for organizations and individuals to use a computer resource without owning one. The capacity of a single server is so large that it is almost impossible for the majority of general-purpose workloads to effectively use it, so shared use among a large group of applications and

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Microservices with Kubernetes,f moving parts in your architecture. This kind of divide-and-conquer approach in splitting to finer services is attempting to decrease the risk of an individual service failure bringing down your entire application. But on the other hand, as you increase the number of moving parts, you also increase

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