Systems | Development | Analytics | API | Testing

Today, businesses are hyper focused on developing data-driven applications and experiences. Whether for customers or end-users, they want to offer software that contains interactive dashboards, personalized data visuals, infographics, and charts. The reason is simple: Better access to data in the same workflow means more people will be more data-driven in their decision-making. If you need your application to display data in charts, graphs or other data images, you need embedded data visualization tools.

If your typical user story looks like: “As a new user, I want to create an account to have an account,” then you might have a problem. As a recent viral Twitter thread from user evangelist and UX pro Laura Klein pointed out a big issue in the QA community: how to write a user story. Product owners are trying to create and execute as many user stories as possible to define requirements and establish acceptance criteria.

People analytics can help you understand employee pain points and take steps to retain top talent.

Picture this scenario: you are a Rails developer and have spent the last couple of days developing that awesome feature that everyone is waiting for. It's big and complex, but it went through rigorous testing, so you are confident everything works as it should. There are deadlines to meet, so you deploy. Immediately, all hell breaks loose. Your feature straight up breaks the entire app for some of your users. It's hard to say why. No bugs showed up during testing.

In our final year as undergraduates, we researched how to use human affect and behaviors to anticipate threats posed by other humans. We built a simple website that demonstrated the capabilities of the model we designed.

Like most modern programming languages, Java includes the concept of exceptions to handle both errors and "exceptional events." When an exception occurs in your code, it disrupts the normal instruction logic and abnormally terminates the process. However, with a little foresight and code, you can often handle these exceptions gracefully, allowing your code to continue running and providing insight for tracking down the root cause of the unexpected result.

We’ve recently supported an organization who wanted to expose its Google Kubernetes Engine (GKE) backend behind Apigee X. A quite common architecture, which most of the users delivering modern web applications on Google Cloud tend to build upon. In this scenario, Google’s API gateway, Apigee, receives requests and performs L7 routing, redirecting you to the correct backend application, running as one or more pods on GKE.

The algorithm team at WSC Sports faced a challenge. How could our computer vision model, that is working in a dynamic environment, maintain high quality results? Especially as in our case, new data may appear daily and be visually different from the already trained data. Bit of a head-scratcher right? Well, we’ve developed a system that is doing just that and showing exceptional results!

With the release of OctoPerf’s new UI we wanted to create a component that would allow our users to easily edit HTTP request actions. The new UI being heavily inspired by IDEs such as Eclipse or Visual Studio we decided to create a component that behaves likes the project settings panel of IntelliJ: IntelliJ Settings This panel displays a tree on its left part with a search input on top. The content of the left part changes depending on the current selection.

Case management can mean a lot of different things, depending on the industry you’re working in. A case could be seeing a patient for a doctor, a legal proceeding for a lawyer, a customer request for a customer service team, an investigation for a corporate management team—we could go on and on.