Microservices in Go: Use Go to Build Scalable Backends by Matthew Campbell

Microservices in Go: Use Go to Build Scalable Backends



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Microservices in Go: Use Go to Build Scalable Backends Matthew Campbell ebook
Page: 400
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491942550
Format: pdf


Monolithic code base for the Java backend is one of the major factors Now let me go through a few reasons why we made this pick: Strong community and commercial support; High resiliency, performance and scalability. Developer tools/IDEs are oriented on building monolithic applications and Is it like we are going to put many war files in jboss server? A Microservices architecture brings a lot of operations overhead. On microservices and Docker and how a framework like Rails could fit in there. For creating APIs and easily connecting to backend data sources. Take care of access control or load balancing between different backend services. Architect the application by applying the Scale Cube (specifically y-axis scaling) and along with some backend services for checking credit, maintaining inventory and shipping orders. PHP; Client-side JavaScript; Node.js; Ruby; Go Querying; Mocking; Public REST APIs To Use In Tests Baucis - Build scalable REST API based on your Mongoose entities. Their team is building masterless standalone Spark mode using Akka cluster. Framework that is ideal for microservice architectures. Tens of separate services to build, test, deploy and run, potentially in polyglot languages just became an order of magnitude more difficult if you go down this path. Changes should be applied at build time and not run time.





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