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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. AWS Device Farm vs Loader.io

AWS Device Farm vs Loader.io

OverviewDecisionsComparisonAlternatives

Overview

Loader.io
Loader.io
Stacks71
Followers173
Votes18
AWS Device Farm
AWS Device Farm
Stacks74
Followers180
Votes5

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

Introduction

This markdown will compare the key differences between AWS Device Farm and Loader.io.

  1. Supported Testing Scenarios: AWS Device Farm is primarily used for mobile app testing, offering a wide range of real devices for testing iOS, Android, and web apps. On the other hand, Loader.io is focused on testing the performance of web applications by simulating user traffic and load testing servers.

  2. Deployment Environment: AWS Device Farm is a cloud-based service provided by Amazon Web Services, offering a ready-to-use environment for testing mobile apps. In contrast, Loader.io requires users to deploy their web applications on their servers for performance testing purposes.

  3. Reporting and Analysis Tools: AWS Device Farm provides detailed test reports, logs, and performance metrics for mobile apps, allowing developers to identify issues and optimize performance. Loader.io offers visualization tools, real-time monitoring, and in-depth analytics for understanding server performance under varying loads.

  4. Pricing Structure: AWS Device Farm follows a pay-as-you-go pricing model based on the number of device minutes used for testing. Loader.io offers both free and paid plans based on the number of client requests or connections made to the server for load testing.

  5. Integration Capabilities: AWS Device Farm seamlessly integrates with other AWS services such as AWS CodePipeline for continuous integration and delivery workflows. Loader.io provides integrations with popular tools like Jenkins, GitHub, and Slack for incorporating load testing into the development pipeline.

Summary

In Summary, AWS Device Farm specializes in mobile app testing on real devices, while Loader.io focuses on load testing web applications to assess server performance under various conditions.

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Advice on Loader.io, AWS Device Farm

Ratan
Ratan

QA Manager at Verisys

Feb 12, 2020

Needs advice

I have a team that is not heavy on programming skills. I am looking for a load testing tool that is easy to use. Preferably, the tool should be a record and playback tool without much programming. Also, the tool should be able to test APIs apart from web-based applications. What tool should I opt for?

36.3k views36.3k
Comments

Detailed Comparison

Loader.io
Loader.io
AWS Device Farm
AWS Device Farm

Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.

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

Share Graphs and Stats- anytime, anywhere;GUI or API- load test how you want
Test on the same devices your customers use; Fix issues faster and delight your users; Simulate real-world environments; Choose the tests that work for you; Integrate with your development workflow; Test with confidence;
Statistics
Stacks
71
Stacks
74
Followers
173
Followers
180
Votes
18
Votes
5
Pros & Cons
Pros
  • 9
    Easy to use
  • 6
    Free tier
  • 3
    Heroku add-on
Pros
  • 3
    1000 free minutes
  • 2
    Pay as you go pricing
Cons
  • 1
    You need to remember to turn airplane mode off
  • 1
    Records all sessions, blocks on processing when done
Integrations
cloudControl
cloudControl
No integrations available

What are some alternatives to Loader.io, AWS Device Farm?

k6

k6

It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow.

Locust

Locust

Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle.

Gatling

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.

BlazeMeter

BlazeMeter

Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br>

Apache JMeter

Apache JMeter

It is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.

RedLine13

RedLine13

It is a load testing platform that brings the low cost power of the cloud to JMeter and other open source load testing tools.

Flood IO

Flood IO

Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.

Blitz

Blitz

Build bulletproof, scalable solutions with Blitz - a simple and fun service for load testing web apps and APIs in the cloud. Blitz offers powerful yet simple capabilities including continuous monitoring, performance testing and remediation. Blitz enables you to instantly burst up to 50,000 concurrent users against your app in seconds from multiple points of presence around the world.

LoadNinja

LoadNinja

It is  a  cloud-based platform for engineers and performance professionals who load test web applications. It makes load testing simple and fast. Test your website and web apps on real browsers, in the cloud, without the need for dynamic correlation.

Artillery

Artillery

It is a modern, open-source, powerful & easy-to-use performance testing toolkit. Use it to ship scalable applications that stay performant & resilient under high load. It prioritizes developer productivity and happiness and follows the “batteries-included” philosophy.

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