It’s been some time since our latest major release, in fact OctoPerf v12 is probably our biggest/longest coming release to date. There’s of course been a couple of minor versions this summer and we’ll also cover them but first let’s focus on the new killer features: the scheduler, alerting through slack/mail and a better UI for the menus. The scheduler is the first item left on our original roadmap (back when OctoPerf was still called jellly.io).

This traditional financial institution is a high-performance, full-service bank with more than 5,000 employees and the biggest in this Central European country. They operate internationally in order to meet their clients’ cross-border requirements.

Automated UI testing is a daily struggle for efficiency and reliability. A single misconfigured line of code can cost teams in hours of lost feedback time and test error triaging—potentially costing companies hundreds of thousands of dollars. In this case study we will see how interactions with only two web elements led to a 34% degradation in the test execution time.

Have you abandoned a web service, because it took too long to load? I bet you have, everyone does that every now and then with slow applications. There are a lot of services to check load times, but is it the only thing to check about website’s performance worldwide? Certainly not! It is just one thing to check, not the only one. You may have performance tested the service locally and validated that everything works just fine.

Every company is a digital company. Whether you are a traditional e-commerce company who has been selling goods online for years, a healthcare company who recently needed to accelerate online visits for telehealth, or a company whose business model has drastically shifted due to Covid, the need for digital transformation is here.

In the first blog in this series, I talked about test speed, and why it shouldn’t be your first priority. Rather, you should focus on getting accurate test results back consistently. This week, I’ll discuss the power of parallelization in testing.