Systems | Development | Analytics | API | Testing

Hitachi Vantara's Virtual Storage Platform One Now Available in the Microsoft Azure Marketplace

Expanded cloud compatibility and built-in capabilities like compression, provisioning and replication can help enterprises simplify operations and reduce storage costs by up to 40%. Microsoft Azure customers worldwide now gain access to Hitachi Vantara Virtual Storage Platform One to take advantage of the scalability, reliability and agility of Azure to drive application development and shape business strategies.

Moesif + Gloo Gateway: Deep API Analytics and Observability at the Edge

Solo.io Gloo Gateway gives teams a reliable way to secure, route, and monitor API traffic in real time. With its high-performance Envoy core and Kubernetes-native design, it meets the demands of distributed applications and modern service architectures. However, performance metrics alone don’t reveal how developers engage with your APIs or why adoption stalls.

Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud

As AI models become commoditized, the conversation is shifting from building smarter models to building data infrastructure that turns models into real business value. Enterprises are accelerating their adoption of agentic AI—systems that don’t just predict but plan, decide, and act autonomously—across their software and operations.

New in Confluent Cloud: Unleashing Cost-Effective Streaming for Any Workload

Streaming at scale just got a lot more powerful and cost-effective. Our Q3 Confluent Cloud launch is packed with innovations to help you do more with less: reduce cloud networking costs while maintaining your security posture, scale effortlessly with boosted connection limits, and build production-ready agentic artificial intelligence (AI) applications with seamless tool integrations.

AI for UX design: 5 best practices for product designers

AI is no longer a fringe experiment: it’s a mainstream mandate. But with that shift comes a new kind of pressure: to act quickly, to appear modern, to bolt on something “intelligent” before someone else does. For many teams, this leads to reactive choices. Features get prioritized because they sound impressive, not because they solve a real user problem. Familiar interfaces get copied instead of questioned.

Demo: Streaming Agents automate competitive pricing in real time

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents natively on Apache Flink and Apache Kafka. By unifying stream processing and agentic AI workflows, they leverage fresh context to continuously monitor and act on what’s happening in the business. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build agents that automate real-time competitive price matching on sales orders.

Seamless Storage Integration: Managing PostgreSQL Environments

PostgreSQL is rapidly being adopted by enterprises large and small. Some estimates show as many as 60% are using it in some form or fashion. For anyone who isn’t on board yet, there are many reasons to consider it. To paraphrase their own site, PostgreSQL, is a powerful, open source object-relational database that uses and extends the SQL language, combined with features that safely store and scale the most complicated data workloads.

Charts Are Just the Start: How Databox Helps Agencies Take Action, Faster

Dashboards are great — but what about doing something with that data? In this clip, an agency shares how Databox helps them spot issues early, make adjustments fast, and stay proactive with features like Scorecards, Notifications, and real-time reporting. Your data should help you move, not just measure.

7 Effective BI Dashboard Components in 2025

Ever feel like your company's data is an untapped resource? We understand the frustration when your data isn't translating into clear, actionable insights for your team. A truly effective business intelligence (BI) dashboard should be a guide, not a barrier. It helps users understand what's happening and what they can do next, transforming a chaotic data landscape into a single, intuitive source of truth. That requires some work.