Systems | Development | Analytics | API | Testing

Testing in production carries a lot of risk, like possibly causing downtime for users. However, the advantages of using real user traffic are many, which has led to the popularity of traffic mirroring. Mirroring can be implemented as part of pre-deployment testing, as well as other parts of the developer experience like the development itself. But, how do you get started with it?

If you’ve got an agile team interested in shipping fast without breaking things, this post is for you. In this piece, I’m going to explain how we at Rainforest QA approach automated testing in a continuous integration / continuous delivery (CI/CD) pipeline, with a focus on end-to-end (e2e) functional testing. The aim of our testing and other DevOps methodologies is to maintain a healthy balance between speed and product quality.

With the growth in the number of electric and autonomous vehicles, where the vast majority of components are built on software, the amount of code in a vehicle is only going to increase. Connectivity, both within the vehicle and outside, is also increasing, meaning that the security of these systems has become more critical than ever before. For any system where there is communication between components or with the outside world, there is an increase in possible software cybersecurity threats.

The last thing a business wants is to be known as an unreliable and poorly performing service, especially if there are similar solutions a few clicks away. So being aware of the performance of a WebRTC application or any other software solution is a must to avoid issues in the future. A solution can be developed by experienced people and tested before it is released, but even so it doesn’t mean performance degradations will never appear.

Once a customer is ready to purchase, the final frontier lies ahead: the payment process. Because online transactions already come fraught with a learning curve, companies must use extensive payment gateway testing to deliver frictionless payment experiences. Even minor glitches can cause cart abandonment and reduce sales volume. Where other aspects of software may enjoy the leeway to go live while minor problems are ironed out, payment gateways cannot afford anything less than perfect reliability.

Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.

Software development has changed a lot in the last 10 years. Practically every company is a software company today. And it’s predicted that the next 10 years will have 10-times the change. But let’s take it one year at a time and look into the future of software development 2023.

Often it can be difficult for smaller studios to focus on administrative tasks when key team members wear multiple hats and are constantly being pulled in different directions. That is why we developed Helix Remote Administration, which lets teams focus on their work while our experts set up, maintain, and optimize their Helix Core server.

This article is the last in a series of overviews of our new UI. You can find the others here: This time we will dive into the changes we’ve made in the analysis.

Enterprises have long relied on monolithic applications to run their operations and provide different functions and services to their customers. Monolithic software is designed to be self-contained; components of the program are interconnected and interdependent. If any program component requires an update, the whole application must be redeployed. As enterprises continue to grow their customer base, they will need to upgrade and scale their monolithic architecture.