Systems | Development | Analytics | API | Testing

We are going to explore whether Load Test Driven Development is an idea that would be worth pursuing for your organisation. We will recap on what Test-Driven Development (TDD) is in the next section but fundamentally Now when you think about this, does it make sense to try and run a performance test before we have developed any code? We think it does and we are going to explain why. For clarity we are not suggesting that Load test Driven Development should replace TDD but rather to compliment it.

CPU or Central Processing Unit is the brain of any computer and its main responsibility is processing all the tasks required by the running applications. CPU Utilization is a key metric in performance testing which measures the percentage of time the CPU spends executing a task. One of the most crucial tasks to do when running a performance test is to monitor the resource utilization.

In the busy month of March, we finished working on the development of some new features for Loadero, two of which were requested by our valued customers. Work on some of the features started quite a long time ago and is finally finished. We are proud to share the news about our tool, here is what we got for you this time.

In this load test tutorial, you’ll learn how to use Postman for small-scale API testing. You’ll also learn about some shortcomings and challenges of the framework that can be solved by using a tool like Speedscale. Because HTTP services don’t have a graphical user interface, you’re forced to test web APIs by simulating requests from a known client so that you can control the traffic data.

Screen sharing is not just common nowadays, it is present in many different apps we use. Webinar applications allow presenters to share their screen with the audience, video calling and conferencing apps allow sharing your screen to show other attendees the information you need to share, e-learning is a lot more effective when teachers can see what’s happening with their student’s screen, the list goes on and on.

During crucial performance testing session we need to monitor and measure various parameters/metrics to be able to analyze and understand why the application behaves in a certain way under a specific load. Below ones are the most used metrics collected during performance testing sessions.

Software developers try to implement applications that not only is responsive and fast with a very small number of users but also with multiple users using the application. To be able to measure this we need to rely on different types of performance testing. Performance testing should be an integral part of the agile release manifesto.

With over a billion more mobile devices projected to become connected over the next year, it’s never been more important to ensure SLA performance and functional reliability for business-critical APIs. While QA, development, and SRE teams have traditionally relied on API load testing and uptime or ping monitors to mitigate performance risk, too many companies have felt the pain of APIs, mobile apps and web platforms failing under stress or unexpected traffic patterns.

Just because your app or site works great in the lab doesn’t mean it will perform that way for end-users. Performance testing is essential to understanding how your website or application will behave in the real world. While error testing is about finding bugs in your software, performance testing is about ensuring your code works as intended and delivers the results you expect when a very high number of end-users are attempting to access your service at the same time.