Security standards continue to evolve, and organizations need infrastructure that evolves along with them. TLS 1.3 brings stronger encryption to streaming infrastructure for data in transit while ensuring alignment with strict security and compliance requirements. We’re excited to announce that TLS 1.3 is currently available as an opt-in feature on Confluent Cloud Dedicated clusters and all other Confluent Cloud APIs, including Stream Governance, Metrics, and Control Plane.

As leaders across industries, we’ve all experienced the frustration of legacy BI tools—spending weeks building dashboards that end up unused, or struggling with rigid filters that block true exploration and insight. Calling this “data-driven” is no longer acceptable! Today, the pace of AI innovation has raised expectations. Customers and end users now demand instant, contextual, and explainable intelligence, seamlessly embedded into their daily workflows.

Being effective is not just about output. It describes how a team works together to deliver results that actually matter. At Databox, we define effective teams as ones that are clear on expectations, aligned on goals, and confident in how their work connects to the bigger picture. Sounds good in theory, right? But how do we actually achieve it?

A few months ago, at Qlik Connect, we announced the launch of Qlik Open Lakehouse, a new, fully managed capability that brings together the best of the Upsolver platform together with Qlik Talend Cloud. And today, we are excited to announce the general availability of Qlik Open Lakehouse within Qlik Talend Cloud that makes it easy and cost-effective for organizations to ingest, optimize, and manage massive amounts of data directly in Apache Iceberg–based lakehouses.

IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.

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.