Systems | Development | Analytics | API | Testing

%term

Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong

The service mesh architecture pattern has become a de facto standard for microservices-based projects. In fact, from the mesh standpoint, not just microservices but all components of an application should be under its control, including databases, event processing services, etc.

Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong

This video explores how to integrate Red Hat OpenShift Container Platform, Istio Service Mesh, and Kong Ingress Controller. It shows a reference architecture with Keycloak as the identity provider running on an OpenShift cluster with Istio service mesh, sample applications, and Kong Ingress Controller. Three sample applications are showcased.

Beyond the Basics: Bug Report Template for Complex Issues

Think about the difference between a basic and complex bug. A basic bug might be a typo in a button label – it's obvious and easy to fix. Complex bugs, though, are trickier. They might only happen under specific conditions, involve multiple parts of the software, or cause confusing symptoms. For these complex issues, a standard bug report isn't enough. Developers need more clues and context to pinpoint the problem. That's where an advanced bug report template comes in.

Test Automation in QA

Like many tech endeavors, QA has undergone radical evolution over the past decade, and to keep up with the competition, dev teams are looking toward the future of QA and test automation. Since machines can do low-skill testing, dev teams are looking for expertise and complex skill sets, which means that human testers’ day-to-day responsibilities are changing thanks to automation. In this article, we will discuss test automation, what it is, examples, types of test automation, and uses.

Core Infrastructure Requirements for Today's Data Workloads

There's no doubt that, as a technology provider/integrator, you're likely seeing many customers across all segments looking to advanced analytics and artificial intelligence for optimizing their growth. Given the vast volume of data that these innovations consume or create, it's clear to see the importance of being able to offer your customers reliable, secure, sustainable and scalable data infrastructure solutions.