Systems | Development | Analytics | API | Testing

Testing is hitting its limits in speed, scale, and insight. AI-augmented and agentic systems can help but only if we adopt them intentionally. This blog series lays out a Crawl–Walk–Run maturity path for adopting agentic testing capabilities safely and strategically. We’ll show you how to move from assistive agents to coordinated systems without losing control or trust.

Every action you automate in Selenium starts with one thing: finding the right web element. That’s where locators come in. They guide Selenium to the exact button, input field, or text box it needs to interact with. Locators in Selenium are essential. Without them, you can't click a button, fill out a form, or verify if a message appears on the screen. They're the foundation of every test case you write. In this article, we’ll walk you through: Let’s get started!

Building real-time applications in the cloud means making the right infrastructure choices early. And for many engineering teams leveraging Amazon Web Services (AWS), Apache Kafka is a key component of their streaming architectures. While open source Kafka provides a powerful foundation, operating it at scale in production often means navigating challenges when provisioning, scaling, securing, and integrating across environments. That’s where Confluent Cloud comes in.

These days, in the quickly evolving world of software, just executing automated testing is not sufficient. Real quality only results from what follows results analysis, pattern tracking, and insights from failure.Test reporting and analytics come into their own here. By converting raw test data into valuable insights, teams can catch flaky tests, pinpoint common problems, and make better decisions more quickly.

When I started at Speedscale, I looked like this: And after one year of learning, growing, and keeping pace with innovation well, let’s just say the journey has left its mark: Of course, I’m joking (sort of). The truth is, this past year has been intense, energizing, and filled with new challenges. If anything, it’s made me feel younger in spirit, even if the mirror might disagree some mornings.

IT leaders have long believed that integration is the best way to connect a chaotic enterprise technology landscape. However, that approach is falling short. It's not powerful enough to manage the complexity, which has only increased with the introduction of AI. What’s needed now is an overarching, holistic view of people, data, processes, and AI—a view that’s made possible with end-to-end process orchestration.

We are thrilled to announce that Confluent Cloud for Government is now available on the FedRAMP Marketplace with FedRAMP 20x Low authorization, allowing both private and public sector customers to leverage our cloud-native data streaming platform to power their mission-critical applications. This milestone marks the successful completion of Phase One of our FedRAMP 20x Pilot program.

When AI projects derail, it’s rarely because the model was weak. More often, failure comes from using MCP in the wrong way—forcing it to act as a universal API, data pipeline, or real-time engine instead of what it truly is: an orchestration and intelligence layer. Recently, Nate B.

In January this year, financial institutions across the EU were faced with a clear mandate – the Digital Operational Resilience Act (DORA): to ensure digital resilience, maintain service continuity and strengthen oversight of Information and Communication Technology (ICT) partners.

Databases are the spine of most any app we use today, from a banking app to an online shopping site. Good application is hidden under cover of the user interface, in the basement, in the room where the data is stored, processed and fetched. Database testing is vital for that very reason. It makes data accurate, secure and trustworthy, which in turn keeps apps stable and businesses running smoothly.