Systems | Development | Analytics | API | Testing

Selenium has been the trusted name in web automation for years, offering broad compatibility and flexibility. Cypress revolutionized front-end testing with a developer-friendly experience. But as web applications become more complex, is there a better alternative?

The future of AI is powered by data and success depends on the right partners. Logicalis and Cloudera are enabling organizations to confidently navigate their AI journey, from data strategy to execution, with scalable, secure, and intelligent solutions. I will send a CTA once Lan determines what makes sense.

Happy Halloween from Qlik!

As businesses grow, so does the complexity of their data. Teams often juggle multiple CRMs, finance systems, marketing platforms, and custom apps, only to end up with fragmented insights, rising costs, and frustrated stakeholders. In this webinar, Sorin Petrea, Director of Data Engineering at Keller Postman LLC, shares how his team unified data across dozens of sources, empowered 400+ users with self-service BI, and turned data into a lever for better decision-making.

A test management solution is essential when scale and complexity make it hard to organize work and see what is happening across teams. If you run multiple projects, have many people, and conditions change often, centralizing test cases, results, defects, and requirements gives you a standard process, clear visibility, and better decisions. Smaller, well-organized teams may not need it, but in complex environments it puts order to the chaos.

Are you ready to get serious about load and stress testing, but don't know where to start? This guide highlights the trap most serious engineers fall into: trying to build a custom DIY testing environment. The traditional path means signing your team up for maintaining load drivers, test case frameworks, ephemeral environments, and endless custom mocks a massive drain on time and resources. There's a better, cheaper, and faster solution: Traffic Replay.

AI is driving change, and data streaming makes it possible for me to adapt.

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents on Apache Flink and Apache Kafka. Embedded in the stream, they can tap into the latest enriched data and be the eyes and ears of a business, continuously monitoring and acting on live operational events. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build price matching agents, do vector search for retrieval augmented generation (RAG), and leverage Confluent’s Real-Time Context Engine to process and serve fresh context the moment it’s needed for AI decision-making.

Join Jay Kreps, Confluent leadership, our customers, and industry thought leaders to learn how you can build intelligent systems with real-time data. We’ll show you why streaming is becoming ubiquitous across the business—and how that unlocks a shift-left approach: process and govern at the source, then reuse everywhere. Expect live demos and candid customer stories that make it concrete. Whether you’re a data leader, architect, or builder, you’ll leave with practical playbooks for bringing real-time AI to production. The future is here-let's ignite it together!