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

Microservices in Go: Use Go to Build Scalable Backends


Microservices.in.Go.Use.Go.to.Build.Scalable.Backends.pdf
ISBN: 9781491942550 | 400 pages | 10 Mb


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Microservices in Go: Use Go to Build Scalable Backends Matthew Campbell
Publisher: O'Reilly Media, Incorporated



Framework that is ideal for microservice architectures. Their team is building masterless standalone Spark mode using Akka cluster. 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. I work on stuff like backend systems, monitoring, configuration management, and For our Go microservices, we use Travis CI to run tests and to create Debian task frameworks like Mesos to make our system scale harder better and faster. For creating APIs and easily connecting to backend data sources. Building scalable, high-throughput and well tested billing and advertisement platform. Web Development with Go will teach you how to develop scalable real-world web app which can be used to build scalable real-world backend services in Go. As you build out services in your architecture, you will notice that On your own infrastructure, you can use dynamic DNS backends like BIND-DLZ for registration . I am a backend architect for a startup in the Agricultural industry currently implementing a The platform leverages a microservices architecture. Built a container management system using Go, Docker, etcd, NSQ and the ELK stack. These sites provide indexes and search engines for Go packages: go- hardware - Curated list of resources for using Go on non-standard hardware. Microservices in Go: Use Go to Build Scalable Backends by Matthew Campbell, 9781491942550, available at Book Depository with free delivery worldwide. 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. Socket when they go down, and then recovered when they return. Louie Bacaj | F#, microservices, Marketing Tech All of our backend systems use F#, which is a functional first language to go extremely well together and help us build a powerful scalable system that is low on complexity. Can anyone here present a use case where they have personally needed @ toddlmontgomery has got Aeron C++ IPC to go at over 30m msg/sec. And develop scalable software written in Java and MySQL for backend bored with #microservices, and I'm getting very interested in #teraservices.





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