[Pdf/ePub] Microservices in Go: Use Go to Build
Microservices in Go: Use Go to Build Scalable Backends by Matthew Campbell
- Microservices in Go: Use Go to Build Scalable Backends
- Matthew Campbell
- Page: 400
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781491942550
- Publisher: O'Reilly Media, Incorporated
Download Microservices in Go: Use Go to Build Scalable Backends
Best android ebooks free download Microservices in Go: Use Go to Build Scalable Backends English version DJVU FB2
Microservices in Go teaches you how to handle advanced server side development in Go; it uses microservices to accomplish this, but is relevant to all server-side developers. The author gives you tips on how to deploy Go apps to popular cloud platforms like Amazon, Google, and Digital ocean. The book has a lot of meaty chapters, including: Queuing architectures such as Kafka, and how to practically use them Influxdb, and how to monitor production systems with metrics How to use Docker to make deployments simpler Using ETCD/Consul to do service discovery and automated failover of mysql/redis Building mobile clients on IOS and Android
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A brief description of a software architecture based on golang micro Select the venue you are going to Choose from the venues in What is Evolution Minimum Viable Product • backend in PHP • agent in Java Create new clipboard Testable architecture • Really scalable • Performance statistics; 17.
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"Microservices in Go" teaches you how to handle advanced server side development in Go; it uses microservices to accomplish this, but is relevant to all
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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 . socket when they go down, and then recovered when they return. app on Marathon and may not scale well with lots of slaves (2) Use
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Here's an Update On Disqus: It's Still About Realtime, But Go Demolishes Python. How do you add realtime functionality to a web scale application? 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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