Systems | Development | Analytics | API | Testing

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Google Cloud & Confluent Marketplace Marvels Series

In this episode of the Google Cloud Marketplace Marvels series, theCUBE Research’s John Furrier talks to Shaun Clowes, CPO of Confluent, and Stephen Orban, VP of migrations, ISVs, and marketplace, Google Cloud at Google. Clowes highlights the strategic partnership with Google Cloud, emphasizing seamless integration, scalable solutions and flexibility in marketplace consumption models. Together, they explore the platform’s impact on AI initiatives, enterprise analytics and rapid IT modernization, demonstrating how businesses can build next-generation data infrastructures one step at a time.

Intro to proxymock, a free traffic-based service mocking tool within VS Code.

Speedscale's proxymock is a free VS Code plugin that passively listens to transactions, so developers can replay past responses or inbound transactions like a time machine. Past transactions can serve as non-rate-limited service mocks, editable databases, or even regression/load/chaos tests. Building service mocks to serve as service virtualization/mocks can be time consuming and manual. Maintaining complex, shared environments for engineering incurs expensive cloud costs and aren't often accurate.

EP 7: Women Leaders in Technology: The Art of Getting Stuff Done with NVIDIA's Kari Briski

For the inaugural episode of Women Leaders in Technology on The AI Forecast, we’re joined by one of the top female leaders in the technology industry, Kari Briski - Vice President of AI Software Product Management at NVIDIA. Kari shares the stories and strategies that inform her leadership style–like GSD or “getting stuff done”–what it means to trust your instinct, and the advice she gives to young women embarking on a career in tech and to women further along who feel stuck where they are.

Is AI Living Up to the Hype? A Retrospective Look from Industry Experts

AI has made waves in testing, but how much has really changed? In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell take a critical look at the progress of AI in software testing. They discuss the real capabilities of tools like ChatGPT and Copilot, what’s improved over time, and what still leaves testers frustrated. You’ll also hear insights into how AI tools are shaping software development workflows, why cost and sustainability are becoming bigger concerns, and what testers can do to separate AI hype from practical solutions.

Mastering Mocking: A Complete Guide To Mocks And Other Test Doubles

Imagine building a system where you want to validate if the logic implemented would fit in when the entire system is built, but for that, you would have to build the entire architecture (well, a lot of resources are spent). Now imagine a way where you can simulate the versions of real objects or components. This is where Data Mock comes into play!

Fuzz Testing REST APIs in Node.js

It’s not enough to just test our code's happy path (in other words, the error-free path we hope our users will take). To be really confident our code can’t be abused, either accidentally or on purpose, we must actively attack it to try and find ways of breaking it. If we don’t do this, someone else will, and they probably won’t be as friendly.