Learn how to identify, map, and manage dependencies in dynamic systems to reduce downtime, speed up troubleshooting, and streamline development workflows. Cortex|

When discussing the process of testing an API, one of the most common sets of terms you might encounter are “mocks” and “stubs.” These terms are quite ubiquitous, but understanding exactly how they differ from one another – and when each is the correct method for software testing – is critical to building an appropriate test and validation framework. In this blog, we’re going to talk about the differences and similarities between mocks and stubs.

As organizations increasingly embrace Kubernetes for container orchestration, optimizing both cost and performance has become a critical challenge. Kubernetes, with its flexible and powerful features, allows for efficient resource management, but without proper configuration and monitoring, it can also lead to over-provisioning, wasted resources, and skyrocketing costs.

Ah, 2024. The year we promised ourselves we’d finally “work smarter, not harder.” And yet, here we are, looking back at a year filled with reworked errors, late-night firefighting, and a lot of “this could have been avoided.” Let’s relive the chaotic glory of the year that wasn’t and figure out how 2025 can be the year that is.

Edge computing is a decentralized computing approach that processes data and performs computations near the source of the data—local servers, smart devices, or edge nodes—rather than depending on a centralized data center. This reduces latency, which is often a result of data having to travel long distances and improves bandwidth efficiency. Discover how edge computing and Kubernetes revolutionize data processing and deployment.

Imagine visiting an e-commerce site that instantly understands your preferences, offering tailored product recommendations from the first click. For our client, this vision was about creating a seamless, engaging experience for new users by providing immediate, personalized suggestions. Using Azure ML Studio, we turned this vision into reality by solving key challenges like the “cold start problem” and building a robust recommendation system. Here’s how we made it happen.

Learn how to measure, implement, and improve SPACE metrics in DevOps. Get actionable tips and overcome common challenges in team performance tracking. Cortex| January 2, 2025 Software development team performance.