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Microservices in Go: Use Go to Build Scalable

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
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491942550
Format: pdf
Page: 400


It's quite likely that you would build an application like the one shown in figure 1. Take care of access control or load balancing between different backend services. Senior Platform, Back-End and Scalable Infrastructure Engineers Our current infrastructure uses the latest technologies: Linux, AWS, Cassandra, MySQL, RedShift, AMQP, Hadoop, Ruby on Rails, Go and Java. How do you add realtime functionality to a web scale application? Changes should be applied at build time and not run time. Implement different parts of the user interface and multiple backend services. Build HTML5, mobile, NoSQL, and big data apps using frameworks designed for it. On microservices and Docker and how a framework like Rails could fit in there. *FREE* shipping on qualifying offers. Here's an Update On Disqus: It's Still About Realtime, But Go Demolishes Python. Microservices in Go: Use Go to Build Scalable Backends [Matthew Campbell] on Amazon.com. 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. API Software Engineer- Go open job details at Unified, Technology in Golang building an entirely new platform using a microservices-based Design and implement performant, scalable, and distributed web services and backends in Go. The microservice architecture makes it easier to scale development. Open job positions for Go developers, for example Senior Software Engineer systems flow, data usage, and work processes; investigating - problem ar Gravitas Works Senior Backend Engineer - Gravitas Works (September 2015) Looking for challenging server side work, building scalable data-driven systems? They tried different architectures but settled on a solution built on Python, Django, Nginx A backend server was created to do the dedupe formatting work.





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