Systems | Development | Analytics | API | Testing

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.

Business intelligence (BI) dashboards contain a wealth of information that companies need to succeed in competitive environments. Marketing and sales departments might rely on pipeline progression dashboards while product managers and engineering teams use them to track product usage and performance KPIs.

Katalon Studio 10.3 delivers a powerful set of enhancements designed to improve test automation efficiency, resilience, and reporting clarity. From mobile self-healing to a revamped email report template, this release is all about giving QA engineers smarter tools for faster, more reliable testing.

Many people in project management think of Microsoft Excel as an inferior tool. They worry about version control with collaboration across the business, especially when dealing with large enterprise projects. However, Excel can be a powerful project management tool when used with the right add-ins. When you understand the unique challenges of enterprise projects and how Excel can serve those needs, you can learn to use it wisely.

In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.

Your AI-powered data science partner just got a major upgrade. The Data Science Agent now automates ML workflows with Spark, BigQuery ML, & BigQuery DataFrames.

Enterprises often host their backend services within private internal networks, whether in on-premises data centers or restricted cloud environments. This setup is essential for protecting sensitive data, meeting compliance requirements, and reducing exposure to external threats. But it also introduces a major hurdle: how do you let external consumers and partners access the right APIs without opening unnecessary doors into your private infrastructure?

The promise of agentic AI is huge. But how is it impacting the enterprise and the developers and IT professionals most likely to be working with it right now? To find out, Kong evaluated labor market data and surveyed 550 tech leaders, developers, IT decision-makers, and Kong users.

It's Monday morning, and your team is about to walk into a nightmare: over the weekend, your web app broke in three different browsers. Checkout flows are getting stuck, animations are glitching, and support tickets are already stacking up. Traditional forms of testing would take forever to find the root cause of this catastrophe, and until then, your team cannot release it. But today, no team or developer has days to spare.