Table of contents
locust
An open source load testing tool written in Python.
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Scalability
Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
Python-based
The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
Web-based UI
Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
Real-time monitoring
During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
Open-source
Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.
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Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.
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Check the traffic stats of locust on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of locust on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of locust's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of locust on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about locust on Reddit. This can help you find out how popualr the product is and what people think about it.
Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months ago
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 10 months ago
But you donโt have to operate at Netflixโs scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโs k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 1 year ago
Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / over 1 year ago
You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / over 1 year ago
These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / over 1 year ago
Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / about 2 years ago
This week at work I was tasked with continuing some load testing that a previous Engineer had started. They had used locust which is an open source load testing tool to run the initial load testing on the staging environment. I now needed to do the same for production so I followed in their footsteps. - Source: dev.to / about 2 years ago
Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / over 2 years ago
Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / over 2 years ago
Locust is a perfect tool to use on such occasion:. - Source: dev.to / over 2 years ago
So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / over 2 years ago
The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / over 2 years ago
Locust: is an open-source load testing framework that allows you to define scenarios using Python code. It simulates a large number of concurrent users and measures the performance of your web applications and APIs. - Source: dev.to / almost 3 years ago
Like many suggested, I would tackle this by putting load via apis(https://locust.io) while running a selenium UI test at the same time in a loop to collect eventLoadTime until the api has finished running completely. You can then aggregate the load time and present your report. I donโt think thereโs any other viable way to load test UI. Good luck ๐. Source: about 3 years ago
A Free Tool UnnaturalScrollWheels is a MacOS app that allows you to invert the scroll direction for physical scroll wheels while maintaining the normal function for trackpads. Aew3 recommends it "for those like me who go between dock and laptop and prefer my mouse to have a different scroll direction to the trackpad." Another Free Tool Locust is an open-source load testing tool that allows you to define... Source: about 3 years ago
If you want to test an actual application and how it handles network latency, potential buffering, QoS etc, then you could use Locust to stress-test REST-based applications and their APIs. Source: about 3 years ago
How do you handle state? Use something like locust to exercise the client with some actual load - you will be surprised how many bugs come out under these tests. Source: about 3 years ago
Load test suite (usually Locust because it's written in and scriptable with Python). Source: over 3 years ago
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Is locust good? This is an informative page that will help you find out. Moreover, you can review and discuss locust here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
