Operations | Monitoring | ITSM | DevOps | Cloud

Since 1999, when NVIDIA invented the GPU (graphics processing unit), the demand has “skyrocketed”. At CES 2026, CEO Jensen Huang announced their latest GPU, named after Vera Rubin. This follows on from the announcement of their Blackwell lineup only two years ago. Through this blog, we’ll explore what the industry knows about the Vera Rubin so far. Plus, we will take a look at some specs in comparison to the NVIDIA B200 from the Blackwell lineup.

We’ve all had that moment where it seems like you've solved your company's biggest engineering challenges after a weekend of hacking something together. Your prototype is so good, you feel, that the obvious next steps are to build a slide deck, rally the team around your work, and prepare the ticker tape parade for your hero's welcome. Jeff Schnitter, a Solution Architect at Cortex, knows this roller coaster of experience all too well after his time at Workday.

For many software teams, documentation is written after features are built and design decisions have already been made. When that happens, questions about how a feature is understood or used often don’t surface until much later. A little over one year ago, our team began to recognize this pattern in our own work. Features generally functioned as intended but were difficult to use or explain. Documentation lagged behind releases.

Third-party data now drives forecasting, analytics, and machine learning across modern cloud teams. But acquiring it has long meant custom contracts, delayed access, and limited visibility into how data costs scale inside analytics workflows. AWS Data Exchange reduces much of that friction by integrating third-party data into the AWS ecosystem.

In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.

Imagine you want to launch an application without first building and managing the servers that run it. You write the code, pick how it should run, and then let a platform take care of the rest. That’s the core promise of AWS Elastic Beanstalk. In this snackable guide, you’ll understand AWS Elastic Beanstalk well enough to decide if it belongs in your AWS architecture.