Confluent

Registration for our Agentic AI Streamposium is open! This exclusive virtual event is designed for developers, architects, and data engineers looking for hands-on experience building real-time, context-rich AI agents. Sound like you? Save your spot here, and we’ll see you April 9th → cnfl.io/470krp4

Don’t let missing context be the reason your AI project fails. Get your copy of our 🆕 context engineering eBook, where you’ll learn to master context engineering to deliver fresh context for reliable AI: cnfl.io/4sMDtaL

How many tools does it take to debug one Kafka issue? Metrics in one place. Logs in another. Traces somewhere else. Custom lag scripts on the side. Fragmented monitoring doesn’t just slow you down… it inflates your Kafka TCO. We break down the hidden costs (and what to do instead): cnfl.io/3ZOLAqW

It’s official! @IBM has closed its acquisition of Confluent. Together, we’ll deliver a smart data platform built to support enterprise AI at scale. Learn more here: confluent.io/press-release/…

🌟 Meet our Catalyst of the Week, Shruti! Shruti is a familiar face in the data streaming community, sparking curiosity around the latest Apache Kafka® topics at Bangalore Kafka, Data, and Streams meetups. Beyond speaking, Shruti also shares her knowledge through insightful blogs on Kafka, helping grow and engage the community. Thanks for everything you do for the community, Shruti! 🙌 👉 Learn more about our Catalyst program here. cnfl.io/3MwRTwp

Batch ELT was built for a slower era. At enterprise scale, it turns into a "spaghetti mess" of duplicate pipelines and unpredictable costs. 🍝 Stop throwing compute at the problem. Learn how a streaming-first architecture uses a "write once, read anywhere" model to slash TCO and make your data AI-ready: cnfl.io/4dlsAIp

🔷 Vector Search now supports @AzureCosmosDB! Give your AI agents a live pulse on your business instead of a stale snapshot. From instant topics-to-tables to fresh context for RAG, see what’s possible with our data streaming platform on @Azure: cnfl.io/3PeB8qv

Azure users, ICYMI: 🔷 Tableflow is now GA on Microsoft @Azure! No more manual ETL, turn Apache Kafka topics into Iceberg tables with one click.

Want to see us schematize your Apache Kafka data? Want to see us do it again? We just made going from dumb pipes to smart, governed data planes even faster with support for storing schema IDs in Apache Kafka headers! Learn how you can schematize your existing topics in minutes without breaking legacy consumers or changing payload formats. 👉 cnfl.io/4rTCXXS

🚨Happening next week! On March 18, our hands-on workshop will guide you to go from Apache Kafka topics to Delta tables + AI agents. We’ll walk you through implementing an end-to-end, streaming-to-AI insight data pipeline. Sign up: cnfl.io/3NapWKW

Kafka rebalancing at small scale: annoying. Kafka rebalancing at enterprise scale: expensive. As clusters grow, rebalances can stretch from minutes → hours → days… with bigger risk windows and bigger resource spikes.This breakdown covers what’s really happening behind the scenes (and how to avoid the worst of it). Read the blog -> cnfl.io/3OX1hdc

AI demand is accelerating but managing streaming infrastructure shouldn’t slow you down. This on-demand webinar breaks down how MSPs, CSPs, and ISVs can scale AI-ready solutions without taking on the complexity of running distributed streaming systems themselves. Check it out now -> cnfl.io/3ZYyx64

Most "always-on" infrastructure sits waiting for peaks that rarely happen, racking up your cloud bill and expanding your carbon footprint. Learn how to match compute power to the real-time movement of data, build for resource density, and cut costs and carbon with our GreenOps guide: cnfl.io/4cLpYU9

✅ Confluent Cloud for Government is now FedRAMP Moderate authorized. Now live on the FedRAMP Marketplace to power mission-critical apps for the public & private sector. Learn more in our latest blog → cnfl.io/3OWvtFD

🌟 Meet our Catalyst of the Week, Amandeep! Amandeep is a data streaming expert and community leader, driving conversations around Apache Kafka® and real-time data platforms across industry and academia. He contributes to the World Economic Forum’s Strategic Intelligence platform, bringing data streaming into global policy conversations. Beyond thought leadership, Amandeep shares practical insights through Forbes Technology Council and dev .to, and is a strong advocate for using Rust to orchestrate Kafka-based systems. Thanks for everything you do for the community, Amandeep! 🙌 👉 Learn more about our Catalyst program here. cnfl.io/3MwRTwp

Go from Apache Kafka topics to Delta tables + AI agents in this hands-on workshop! On March 18th, we'll walk you through implementing an end-to-end, streaming-to-AI insight data pipeline. Get hands-on experience with Tableflow, PostgresSQL CDC, @databricks, @awscloud and more: cnfl.io/3NapWKW

From fraud detection in finance to predictive maintenance in manufacturing, data streaming is transforming every industry. Get the latest concepts and industry stories in the new ultimate data streaming guide by @KaiWaehner. cnfl.io/49Wnm3X

Batch audit logs don’t keep up anymore. If you’re waiting hours or days for compliance data, you’re already missing risk signals. This post shows how to build a real-time audit logging pipeline with Apache Kafka®, covering ingestion, schema governance, and immutable long-term retention. Read more → cnfl.io/4kUtL3m

Queues for Kafka is now GA on Confluent Cloud and Confluent Platform! 🎉 Native queue semantics, elastic consumer scaling, and per-message acks and nacks on #ApacheKafka so you can consolidate streaming + queuing. Learn more: cnfl.io/4aRBETO