Systems | Development | Analytics | API | Testing

Developing a Quality Strategy

Over the course of my career in testing and quality, I have seen many different quality strategies. All of them have been narrowly focused on testing, with perhaps a sprinkle of DevOps tossed in. I started to wonder why this is, and when I dove a bit deeper I realized that all of them were written by testers. It’s a truism in the industry that you can’t test quality into a product. Why is it then that all of our quality strategies revolve around testing or development methodologies?

What's the Best Way to Determine the Price of an API?

As an API provider, once you’ve decided to bring in revenue from your APIs, the next step is to figure out how you will price the usage. As with any business decision, there are plenty of ways to go about pricing an API. There are many short-term strategies to establish initial pricing and then iterate to find which pricing model and price points work best for your customers.

Integrating Your Data Warehouse and Data Mesh Strategies

Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.
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Innovative times for mobile: implications for app developers and testers

The past few months have seen various landmarks in mobile technology, notably from Apple and the Android community, and these announcements and launches represent far more than just new devices and operating systems. There are also some massive strides forward, including more focus on the user experience, which reflects the growing market demand for improvements in this area. Of course, mobile has always led the pack in terms of UX, but with more people engaging with the rest of the world via their smartphones, they increasingly expect a better experience.
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How to Create K6 Load Tests from API Recordings

Load testing is one of the most common ways to test the resiliency of your applications. In this blog we show how recording production data with Speedscale and exporting to a K6 load tests gives you the best of both worlds. Whether or not it's important for your organization, there are clear benefits to be had from implementing these types of tests. By doing so, you can: When it comes to load testing, two of the most modern tools are Speedscale and K6. While there are many reasons for choosing one over the other, there are also benefits to using them together. If you want to know what the main differences are, check out the in-depth comparison.

Optimizing Your Kubernetes Load Testing with Speedscale

One of the major factors that come into play when deciding on a load testing tool is whether it can perform as you expect it to. There are many ways to measure how well a load testing tool performs, with the amount of requests per second undoubtedly being one of the main ways. Speedscale creates load tests from recorded traffic, so generating load is at the core of the tool.

A Brief History of the Selenium Testing Framework

Ever wonder where Selenium (the testing framework, not the mineral) came from? Here’s a short history of the technology. Ever wonder where Selenium came from? Here’s a short history of the world's most popular open source automation framework, from its origins as a proprietary tool for timecard entry, through the present era of Selenium WebDriver and the W3C standard.