Systems | Development | Analytics | API | Testing

The Inevitable Outage: Why Your Hybrid Strategy Needs Multi-Cloud Resilience

The recent global IT outage experienced by a major cloud hyperscaler was a disruptive, real-world reminder that downtime and service disruptions are inevitable. The event impacted services across banking, retail, and healthcare, and served as a powerful warning that relying on any single provider, or even a single cloud region, creates a critical business vulnerability. This outage highlights the critical risk of a single-provider strategy, rather than an inherent problem with the cloud.

Introducing Real-Time Context Engine: Simplified Context Engineering With Real-Time, Processed Data for AI

We’re excited to announce our Real-Time Context Engine, now available in Early Access. It’s a key part of Confluent Intelligence, our vision to bring real-time data directly to production AI systems through the power of Apache Kafka and Apache Flink.

Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure

If you’re on a platform team running Apache Kafka, you know it’s rarely simple. You’re expected to keep it stable, performant, and secure while juggling requests from every direction. Supporting multiple teams and partners leads to operational complexity that never really goes away.

Why Apache Kafka Migration Costs Are Often Underestimated

As a critical, stateful system, migrating Apache Kafka deployments is virtually always a complex engineering project where the most significant expenses are often hidden. Scoping and committing to a Kafka migration requires multiple layers of careful calculation involving infrastructure choices, data complexity, team expertise, and risk tolerance. Underestimating these variables leads to blown budgets and extended timelines.

AI and Data Privacy: 3 Top Concerns and What to Do About Them

The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.

Ep 46 | Keeping Humanity in the Age of AI with Jess Von Bank

What does it mean to design AI with humanity at its core? Jess Von Bank—futurist, HR transformation leader, and president of Diverse Daisies—joins The AI Forecast to discuss. With host Paul Muller, the two explore how AI is reshaping the workforce and our very sense of what it means to be human. From AI-driven recruiting and workforce redesign to the mental health crisis and the erosion of human connection, Jess challenges leaders to slow down, think deeply, and build technology that serves people—not replaces them.

Keynote: Building Intelligent Systems on Real-time Data

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!

Demo: Streaming Agents for price matching, with RAG, observability, and Real-Time Context Engine

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.

How To Develop Money Transfer Apps Like Western Union

‍ Every year, billions of dollars crisscross the globe, not through exotic trades but everyday remittances. In 2024, global remittance flows reached around USD 905 billion, growing at a CAGR of 4.6% over 2023. These flows now exceed foreign direct investment in many developing countries, underlining how critical remittances are for economies and families. ‍