Systems | Development | Analytics | API | Testing

Bridging the Data Divide: How Confluent and Databricks Are Unlocking Real-Time AI

We’re excited to announce an expanded partnership between Confluent and Databricks to dramatically simplify the integration between analytical and operational systems. This is particularly important as enterprises want to shorten the deployment time of AI and real-time data applications. This partnership enables those enterprises to spend less time fussing over siloed data and governance and more time creating value for their customers.

Build a Real-Time AI Chatbot for Social Media with Confluent & Databricks

Power AI-driven decision-making with Confluent’s Data Streaming Platform and Databricks’ Data Intelligence Platform. Watch this step-by-step demo to learn how to build a real-time social media AI chatbot that instantly engages with customer posts, like product reviews. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.

Automating Podcast Promotion with AI and Event-Driven Design

I host two podcasts, Software Engineering Daily and Software Huddle, and often appear as a guest on other shows. Promoting episodes—whether I’m hosting or featured—helps highlight the great conversations I have, but finding the time to craft a thoughtful LinkedIn post for each one is tough. Between hosting, work, and life, sitting down to craft a thoughtful LinkedIn post for every episode just doesn’t always happen.

Revolutionizing Failure Management in Apache Flink: Meet FLIP-304's Pluggable Failure Enrichers

FLIP-304 gives you the power to transform how failures are handled in Apache Flink. With custom failure enrichers, you can tag and classify errors, integrate enriched data with monitoring tools, and quickly identify root causes. Failures in distributed systems are inevitable, but managing them effectively makes all the difference. Enter FLIP-304: Pluggable Failure Enrichers, an upgrade that helps turn confusion into actionable insights.

Agentic AI: The Top 5 Challenges and How to Overcome Them

As generative AI continues its unprecedented surge in popularity, we are already seeing it evolve into the next generation of machine learning-driven technologies: agentic AI. With agentic AI, we are not just prompting models and receiving an answer in a simple one-step process. The AI is engaging in complex multi-step processes, often interacting with different systems to achieve a desired outcome.

Optimize SaaS Integration with Fully Managed HTTP Connectors V2 for Confluent Cloud

Integrations that fail to deliver consistent performance and suffer from long processing times inevitably fall short of the high standards set by today's dynamic business environment. Providing a seamless integration of Apache Kafka with various data sources and destinations is crucial in the fast-paced world of data streaming and real-time analytics.

Stream On: Unleashing Innovation with Data Streaming | Life is But a Stream

Real-time data streaming is shaking up everything we know about modern data systems. If you’re ready to dive in but unsure where to begin, no worries. That’s why we’re here. Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment. Your guide is Tim Berglund, VP of Developer Relations at Confluent, where he and his team work to make data streaming data and its emerging toolset accessible to all developers.