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AWS Device Farm
AWS Device Farm

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Loader.io

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AWS Device Farm vs Loader.io: What are the differences?

What is AWS Device Farm? Test your app on real devices in the AWS Cloud. Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

What is Loader.io? Simple Cloud-based Load Testing. Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.

AWS Device Farm and Loader.io can be categorized as "Load and Performance Testing" tools.

According to the StackShare community, Loader.io has a broader approval, being mentioned in 14 company stacks & 8 developers stacks; compared to AWS Device Farm, which is listed in 5 company stacks and 3 developer stacks.

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What is AWS Device Farm?

Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

What is Loader.io?

Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.
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        What tools integrate with AWS Device Farm?
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        What are some alternatives to AWS Device Farm and Loader.io?
        Xamarin Test Cloud
        Run your app on our huge (and growing) collection of real devices from around the world. Select devices based on form factor, manufacturer, operating system, or even popularity in your target market. We’re adding over 100 devices every month, and if there’s a specific device you need, we’re taking requests.
        Firebase
        Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
        BrowserStack
        Live, Web-Based Browser Testing Instant access to all real mobile and desktop browsers. Say goodbye to your lab of devices and virtual machines.
        Xamarin
        Xamarin’s Mono-based products enable .NET developers to use their existing code, libraries and tools (including Visual Studio*), as well as skills in .NET and the C# programming language, to create mobile applications for the industry’s most widely-used mobile devices, including Android-based smartphones and tablets, iPhone, iPad and iPod Touch.
        Gatling
        Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support.
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        Decisions about AWS Device Farm and Loader.io
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        How developers use AWS Device Farm and Loader.io
        Avatar of StackShare
        StackShare uses Loader.ioLoader.io

        I don’t remember exactly how I heard about Loader.io. I think I was adding load testing services to Leanstack. I saw it was a SendGrid Labs project, so there would be competent people behind it. And since they had a Heroku Add-On it was easy to get started. Loader.io is cool because it’s super simple to set up.

        We have about 30 tests set up for different pages: loader.io setup

        When executing tests, you can see error rate and average response times. But we also check the Heroku logs to see if they are real errors.

        My biggest complaint: figuring out what load to set for your tests is difficult. We don’t understand the language they use and no one we’ve spoken to that has used Loader.io understands it either. We’ve been testing at 250 clients (maintain client load) for all of our tests on 2 dynos. That means a constant load of 250 people using the site over a minute, or so I thought. The number of requests at the end of the test suggests it’s more like 250 additional clients hitting the site every second for a minute. But I guess accommodating a higher load is better anyways? 250 concurrent users seems to be our average HN traffic spike so that’s why we went with that load.

        Avatar of Volkan Özçelik
        Volkan Özçelik uses Loader.ioLoader.io

        I use loader.io for distributed load testing.

        That especially matters when you have a cross-region load-balancer and you want to make sure how your app behaves on a global scale.

        Avatar of scott hutchinson
        scott hutchinson uses AWS Device FarmAWS Device Farm

        Testing on real devices

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