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Your Guide to Automated Testing [Article and Tutorials]

DZone

It's time to automate you testing process! What Is Automated Testing? DZone Refcard: Automated Testing: Improving Application Speed and Quality — Learn more about mobile testing in Kotlin, go beyond what Selenium provides for web application testing, and take a deep dive into trends such as Behavioral-Driven Development and Visual Regression.

Testing 337
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Article: How Netflix Ensures Highly-Reliable Online Stateful Systems

InfoQ

Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix. By Joseph Lynch

Systems 108
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Article: Donkey: A Highly-Performant HTTP Stack for Clojure

InfoQ

In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks. Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs.

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Article: Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System

InfoQ

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 113
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Article: Scaling the Heights: Unveiling the Secrets of Azure Functions’ Cold Starts and Scalability

InfoQ

The insightful piece featured on InfoQ delves into the intricacies of Azure Functions’ Cold Starts, illuminating a topic frequently stirring debate within the serverless computing sphere.

Azure 83
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Article: A Recipe to Migrate and Scale Monoliths in the Cloud

InfoQ

In this article, I want to present a simple cloud architecture that can allow an organization to take monolithic applications to the cloud incrementally without a dramatic change in the architecture. We will discuss the minimal requirements and basic components to take advantage of the scalability of the cloud. By Luciano Mammino.

Cloud 70
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How to Implement Client-Side Load Balancing With Spring Cloud

DZone

In this article, you will learn how to use it to implement client-side load balancing in a Spring Boot project. In this article, we will discuss an example based on the client-side scenario. It is therefore important to distribute the load between those instances. The component that does this is the load balancer.

Cloud 278