AWS Device Farm vs Locust

Overview

Locust

Stacks191

Followers317

Votes51

GitHub Stars27.0K

Forks3.1K

AWS Device Farm

Stacks74

Followers180

Votes5

AWS Device Farm vs Locust: What are the differences?

AWS Device Farm and Locust are both popular tools used for testing applications, but they have key differences that set them apart.

Pricing Model: AWS Device Farm charges based on usage, while Locust is an open-source tool with no direct costs associated.
Supported Platforms: AWS Device Farm offers a wide range of devices for testing, including iOS, Android, and web browsers, while Locust primarily focuses on web applications.
Scalability: AWS Device Farm can easily scale up and down based on testing demands by leveraging the cloud infrastructure, whereas Locust may require manual scaling of resources.
Ease of Use: Locust is known for its simplicity and user-friendly interface, making it easier for developers to set up and run tests compared to AWS Device Farm, which requires more configuration.
Customization: Locust allows for more customization and flexibility in creating test scenarios with Python scripting, while AWS Device Farm has predefined test suites and configurations.
Integration: AWS Device Farm seamlessly integrates with other AWS services, providing a comprehensive testing solution within the AWS ecosystem, whereas Locust may require additional integration efforts with third-party tools.

In Summary, AWS Device Farm and Locust differ in pricing models, supported platforms, scalability, ease of use, customization, and integration options.

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Advice on Locust, AWS Device Farm

Rashmi

Mar 17, 2021

Needs adviceon

Jenkins

Gatling

Locust

I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

104k views104k

Comments

Vrashab

QA at Altair

Jun 23, 2020

Needs adviceon

Gatling

Locust

Flood IO

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

142k views142k

Comments

Detailed Comparison

Locust	AWS Device Farm
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.	Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.
Define user behaviour in code;Distributed & scalable;Proven & battle tested	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
GitHub Stars 27.0K	GitHub Stars -
GitHub Forks 3.1K	GitHub Forks -
Stacks 191	Stacks 74
Followers 317	Followers 180
Votes 51	Votes 5
Pros & Cons
Pros 15 Hackable 11 Supports distributed 7 Open source 6 Easy to setup 6 Easy to use Cons 1 Bad design	Pros 3 1000 free minutes 2 Pay as you go pricing Cons 1 Records all sessions, blocks on processing when done 1 You need to remember to turn airplane mode off
Integrations
Python	No integrations available

What are some alternatives to Locust, AWS Device Farm?

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.

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.

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.

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

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

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

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

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.

Soundkit

Voice agent QA for teams who can't afford broken calls, compliance gaps, or production failures. Simulate thousands of conversations, validate legal

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.

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AWS Device Farm vs Locust: What are the differences?

AWS Device Farm and Locust are both popular tools used for testing applications, but they have key differences that set them apart.

Pricing Model: AWS Device Farm charges based on usage, while Locust is an open-source tool with no direct costs associated.
Supported Platforms: AWS Device Farm offers a wide range of devices for testing, including iOS, Android, and web browsers, while Locust primarily focuses on web applications.
Scalability: AWS Device Farm can easily scale up and down based on testing demands by leveraging the cloud infrastructure, whereas Locust may require manual scaling of resources.
Ease of Use: Locust is known for its simplicity and user-friendly interface, making it easier for developers to set up and run tests compared to AWS Device Farm, which requires more configuration.
Customization: Locust allows for more customization and flexibility in creating test scenarios with Python scripting, while AWS Device Farm has predefined test suites and configurations.
Integration: AWS Device Farm seamlessly integrates with other AWS services, providing a comprehensive testing solution within the AWS ecosystem, whereas Locust may require additional integration efforts with third-party tools.

In Summary, AWS Device Farm and Locust differ in pricing models, supported platforms, scalability, ease of use, customization, and integration options.