Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.

In today’s digital age, citizens expect seamless interactions with government agencies, mirroring the efficiency and user-friendliness they encounter in the private sector. However, achieving exceptional citizen experience (CX) requires routine testing and close attention to software quality and performance. As agencies navigate the complexities of delivering digitized services, continuous automated testing (CAT) is a game-changer in enhancing CX while maintaining speed and reliability.

Not long ago, I was handed a problem that’s no stranger to the world of programming: making asynchronous threads communicate effectively within the same process. Given the widespread nature of this issue, I expected to find an existing solution to resolve it. My search led me to the concept of message queue, which seemed promising for streamlining this communication challenge.

Game development has only grown more complicated as studios adjust to working with increasingly larger projects, globally distributed teams, and limited resources. It’s no surprise that teams are exploring alternative solutions, like cloud game development, to build their next break out game. The appeals of building a game in the cloud include its abilities to minimize developer and artist challenges and optimize your development pipeline.

If you'd like to run load tests in a simple way, and possibly share them, while benefiting from a simplified configuration, with a focus on writing your test plan, and its test typology, this article is for you! Docker offers virtualization services that simplify the replication of working environments. Furthermore, each virtualized service is isolated from unrelated services on other containers or the host machine, ensuring portability across host machines and the network.

In this blog post we are going to look at how we take a postman request or collection and translate these into JMeter tests. When web services are being build it is common for Postman to be used to test the endpoints. This is done by: the list goes on. What naturally happens during programmes where web services are part of the design is that postman requests and collections are built and grow to support all manner of requirements.

Is exploratory testing a solo practice? Is only the QA team responsible for quality? Are the great insights of an exploratory session shared with the team? We’ve been asking ourselves and our users these questions and we’re happy to launch version 3 of the Xray Exploratory App, designed to establish the foundations of collaboration in exploratory testing.