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    Designing an efficient #Redis data model while keeping performance in mind can be very tricky. A good example about how to approach the problem.
    https://redislabs.com/blog/real-time-trading-platform-with-redis-enterprise/

    When deploying out from your local environment, there might be fundamental differences between your local environment and your target/cloud infrastructure. Unit tests and CI may suddenly break if your tests are flaky.
    https://eng.uber.com/handling-flaky-tests-java/

    Would like to build #Microservices ecosystem that could span departments, companies or even continents? http://goo.gl/P6URMu #apachekafka #KQL

    While Blue-Green deployments are relatively straightforward, how about RabbitMQ: http://goo.gl/3QVuet #RabbitMQ #DevOps

    Huge monolithic #APIs could be very difficult to maintain. Improving Resiliency and Stability of a Large-scale Monolithic API Service @LinkedInEng https://engineering.linkedin.com/blog/2017/11/improving-resiliency-and-stability-of-a-large-scale-api

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