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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.
1,258
aziende
Abbiamo dati su 1,258 aziende che usano Locust. La nostra lista di clienti Locust è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
WVUH West Virginia University Hospitals | Stati Uniti | Hospitals And Health Care | 10K | $531M |
Dan's Pet Care | Stati Uniti | Pet Services | 51 | |
WVU Medicine | Stati Uniti | Hospitals And Health Care | 10K | $531M |
Mass General Brigham | Stati Uniti | Hospitals And Health Care | 10K | $484M |
Verivox GmbH | Germania | It Services And It Consulting | 501 | $2M |
BAYADA Home Health Care | Stati Uniti | Hospitals And Health Care | 14K | $1.3B |
Granicus | Stati Uniti | Software Development | 1.3K | $145M |
Kitopi | Emirati Arabi Uniti | Food And Beverage Services | 2.5K | $220M |
⠀RxDefine | Stati Uniti | Software Development | 52 | |
Scotiabank | Canada | Banking | 92K | $26B |
IQGeo | Regno Unito | Software Development | 205 | $102M |
Bon Appetit | Stati Uniti | Restaurants | 10K | $120M |
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Locust è utilizzata in 45 paesi
Ci sono 15 alternative a Locust
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Locust is an open-source, distributed load testing tool that allows users to define user behavior with Python code. It is designed to be highly scalable, allowing for simulating millions of simultaneous users using a simple and Pythonic scripting language. Locust is known for its ease of use, flexibility, and the ability to quickly create load tests for web applications and services.
Load and Performance Testing is the category that Locust falls under. This category focuses on testing the performance and scalability of software applications under various load conditions. Load testing involves putting demand on software systems and measuring their response, while performance testing aims to evaluate the speed, responsiveness, and stability of a system under a specific workload.
Locust was founded in 2011 by Swedish developers, and its initial motivation was to provide an easy-to-use, scalable, and scriptable load testing tool for developers and testers. Since then, Locust has gained popularity in the software testing community for its simplicity and effectiveness in creating realistic load tests.
In terms of market share, Locust has been steadily increasing its presence within the Load and Performance Testing category. With the rising demand for robust load testing tools in the era of complex web applications and microservices, Locust is forecasted to continue growing in the future. Its open-source nature, extensibility, and active community support contribute to its potential for further market share expansion.
Locust is a popular choice for companies looking to enhance their load and performance testing capabilities. Its user-friendly interface and powerful features make it a preferred tool in the tech stack of many organizations.
Locust stands out in its ability to simulate thousands of concurrent users with ease. Unlike other similar technologies that may struggle to handle large-scale testing scenarios, Locust excels in scalability, allowing companies to accurately assess their system's performance under heavy loads.
Being Python-based, Locust offers a flexible and familiar scripting environment for developers. This ease of use enables teams to quickly create and modify test scenarios, saving time and resources compared to more complex testing tools that require extensive training.
Locust provides real-time insights into test performance, allowing teams to identify bottlenecks and performance issues as they happen. This immediate feedback loop sets Locust apart from other tools that may offer delayed or limited monitoring capabilities.
With a vibrant open-source community, Locust benefits from continuous enhancements and contributions from developers worldwide. This active community support ensures that the tool stays up-to-date with the latest industry standards and best practices.
In summary, companies choose Locust for its scalability, Python-based flexibility, real-time monitoring capabilities, and the backing of a thriving open-source community.
Locust is a popular open-source load testing tool that is used by various companies to ensure the performance and scalability of their applications. Here are a few real case studies showcasing how companies effectively leverage Locust for Load and Performance Testing:
Case Study 1 - Spotify Spotify, the renowned music streaming service, utilizes Locust for load testing their backend infrastructure. They started using Locust in 2018 to simulate thousands of concurrent user interactions to evaluate the performance of their servers during peak usage hours. By running Locust tests, Spotify gained valuable insights into their system's capacity and identified potential bottlenecks before they impacted user experience.
Case Study 2 - Netflix Netflix, the leading global provider of streaming movies and TV series, incorporates Locust into their testing processes to ensure seamless streaming experiences for millions of subscribers worldwide. They integrated Locust into their load testing suite in 2017 to mimic the behavior of numerous users accessing their platform simultaneously. By using Locust, Netflix can accurately simulate peak traffic scenarios and optimize their infrastructure for maximum performance.
Case Study 3 - Airbnb Airbnb, the popular online marketplace for hospitality services, relies on Locust for conducting load tests to validate the reliability and scalability of their booking platform. Since adopting Locust in 2016, Airbnb has been able to replicate real-world user traffic patterns and assess their system's response to varying loads. By leveraging Locust's capabilities, Airbnb ensures that their platform can handle spikes in user activity without experiencing downtime or performance issues.
These case studies demonstrate how leading companies such as Spotify, Netflix, and Airbnb effectively utilize Locust for Load and Performance Testing to enhance the reliability and efficiency of their digital services.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Locust visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,258 aziende che utilizzano Locust.
Locust è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Hospitals And Health Care", "Pet Services", "Hospitals And Health Care", "Hospitals And Health Care", "It Services And It Consulting", "Hospitals And Health Care", "Software Development", "Food And Beverage Services", "Software Development", "Banking". Per un elenco completo di tutti i settori che utilizzano Locust, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Locust includono WVUH West Virginia University Hospitals, Dan's Pet Care, WVU Medicine, Mass General Brigham, Verivox GmbH, BAYADA Home Health Care, Granicus, Kitopi, ⠀RxDefine, Scotiabank e molte altre. Puoi trovare un elenco completo di 1,258 aziende che utilizzano Locust su TheirStack.com.
Secondo i nostri dati, Locust è più popolare in Stati Uniti (531 companies), Regno Unito (62 companies), Spagna (37 companies), India (36 companies), Canada (21 companies), Germania (21 companies), Francia (20 companies), Brasile (18 companies), Singapore (16 companies), Australia (14 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Locust cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.