Friday, June 9, 2017

READ Scaling Microservices: Platform Engineering for Distributed Systems

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Scaling Microservices: Platform Engineering for Distributed Systems





Scaling Microservices: Platform Engineering for Distributed Systems

by Diptanu Choudhury, Cindy Sridharan

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Binding: Paperback
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Results Scaling Microservices: Platform Engineering for Distributed Systems

What are Microservices AWS ~ Microservices are an architectural and organizational approach to software development where software is composed of small independent services that communicate over welldefined APIs These services are owned by small selfcontained teams Microservices architectures make applications easier to scale and faster to develop enabling innovation and accelerating timetomarket for new features

Lessons Learned from Scaling Uber to 2000 Engineers 1000 ~ For a visual of the growth Uber is experiencing take a look at the first few seconds of the above video It will start in the right place Its from an amazing talk given by Matt Ranney Chief Systems Architect at Uber and Cofounder of Voxer What I Wish I Had Known Before Scaling Uber to 1000

Running ContainerEnabled Microservices on AWS ~ In this course you will learn how to manage and scale containerenabled applications by using Amazon Elastic Container Service Amazon ECS We will explore the challenges of running containerized applications at scale and provide guidance on creating and using Amazon ECS to develop and deploy containerized microservices‒based applications

Why Segment Returned to a Monolith from Microservices ~ Time and time again I come across exactly the same situation some team starts with microservicesfirst approach then ends up with a distributed monolith and plunges into a nightmare that goes

Microservices – Please don’t Basho Technologies ~ While I don’t want the take away of this blog post to be “Microservices Bad” ideally anyone reading this should walk away with a series of issues to think about when deciding if the move to a Microservice based architecture is right for them

Event Sourcing in Microservices Using Spring Cloud and Reactor ~ In this article we will explore the problems of data consistency and high availability in microservices We will start by taking a look at some of the important concepts and themes behind handling data consistency in distributed systems

Microservices at Netflix Lessons for Team and Process Design ~ In a previous blog post we shared best practices for designing a microservices architecture based on Adrian Cockcroft’s presentation at 2014 about his experience as Director of Web Engineering and then Cloud Architect at this follow‑up post we’ll review his recommendations for retooling your development team and processes for a smooth transition to microservices

Cloud management platform that meets your present and ~ Qstack has no scaling limitations Thousands of physical servers can be administered in geographically distributed data centres with Qstack and managed from its selfservice portal or API tools

Serverless Architectures Martin Fowler ~ Serverless Architectures Serverless architectures are application designs that incorporate thirdparty “Backend as a Service” BaaS services andor that include custom code run in managed ephemeral containers on a “Functions as a Service” FaaS platform

Scalability Rules Principles for Scaling Web Sites 2nd ~ Scalability Rules Principles for Scaling Web Sites 2nd Edition Martin L Abbott Michael T Fisher on FREE shipping on qualifying offers NA

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