The HeadSpin platform is an industry first, providing a powerful, easy-to-use solution that enables development, QA, product, and operations teams to accelerate release cycles, build for complex real-world user environments, and know whenever any component of the system degrades or breaks—whether at the code, device, or network layer—anywhere in the world.
Since inception, the platform’s extensive on-prem and cloud-hosted global device infrastructure has been expanded with machine learning-driven performance and quality of experience analytics to proactively test and monitor mobile, web, audio and video applications in real-time.
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Headspin has been an essential part of our testing process from the beginning. We've used it to test everything from mobile sites to native applications and we've found it to be invaluable for both developers and testers. We can run tests on any device from any location in the world, and the bug reporting feature makes it easy to track down and fix errors.
We use Headspin automation to run our functionality tests across multiple browsers and operating systems. We can identify UI misalignment specific to browsers or failures due to incompatibility with a particular browser. The good part is you can automate screenshots and get insights into where the UI of your website is going off. Then we can use the live feature to identify and debug the compatibility issue. We strongly believe customer experience is the key, and that could impede your product growth. With Headspin, we could see improvements in identifying errors before our customers do!
We have been using HeadSpin for a while now, and we're pleased with their services.
Their customer support is available 24x7 and they have helped us many times with any issues or questions we had. They are always up to date with the latest version of browsers, which is something we highly value.
They have a wide selection of browsers and operating systems, which makes it easy for us to identify the issue on our website and solve it in no time.
Based on our record, JMeter seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The test directive is a root point, where all the magic starts. Then, using threads method we are telling JMeter what number of users we want to use. The defaults command allows us to specify default options for all our http requests. And, finally,cookies indicates that we need to store cookies and send them with each request. - Source: dev.to / 7 days ago
For performance and load testing, tools like LoadRunner and Apache JMeter are commonly employed. These tools simulate a high number of users accessing the application to ensure that the application performs well under stress and that the user experience is not compromised during peak loads. - Source: dev.to / 8 days ago
Used primarily for performance testing, JMeter also supports functional API testing, capable of simulating a variety of service responses. - Source: dev.to / about 1 month ago
You could use many methods to run performance tests on your app, one of the most popular being Apache JMeter. Let's use the benchmark numbers to compare Hanami and Rails. - Source: dev.to / about 1 month ago
Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test. I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/). I've been using Artillery, but it's hard to visualize the results. What do you use? - Source: Hacker News / about 2 months ago
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