All technical. All data. All. Day. Long.

Thanks to everyone who joined us at our first-ever #underCurrent in San Francisco!

Two features make WarpStream the fastest, most reliable diskless Kafka product available.

⚡️ ️Lightning Topics: Ultra-low produce latency with a p50 of 33ms and p99 of 50ms.
🪂 Ripcord Mode: Continue processing produce requests even when the Control Plane is unavailable.

buff.ly/PaAaxH6

Kafka isn't a database, but we gave it a query engine anyway. Introducing WarpStream Events:

📈 Search and visualize Agent logs, ACL decisions, and pipeline execution logs
⚒️ No more wrangling multiple tools
☑️ Get built-in observability with zero ops

www.warpstream.com/blog/warpstr...

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 → https://cnfl.io/4bM5l9d

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: www.confluent.io/press-releas...

🔷 Vector Search now supports Cosmos DB! 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: www.confluent.io/blog/2026-q1...

Azure users, ICYMI:

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

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: https://cnfl.io/3N2h6ic

Current 26 Registration is officially OPEN! 🪅

We’re bringing the global data streaming community to London this May. 🇬🇧 Two days of networking, innovation, technical deep dives, and hands-on workshops with some very special guests!

Early Bird pricing available now 👉 https://cnfl.io/4savLXF

What’s New in Confluent Kafka Clients 2.13.0: Python Async GA and More Confluent Kafka Clients 2.13.0 brings Python asyncio GA, Schema Registry improvements, security updates, and performance enhancements across languages.

Important updates just landed across the Apache Kafka client ecosystem.

Async support for Python is now GA, improved Avro support for Schema Registry and more.

These updates make it easier to run Kafka clients reliably in production. Check them out below! ⤵️

Apache Kafka migrations can be as easy as Ctrl+C, Ctrl+V. (Or Cmd+C, Cmd+V for the 🍎 crowd.)

Learn how Kafka Copy Paste, our new open-source CLI tool, streamlines migration from hosted Kafka to Confluent Cloud by eliminating 70% of the manual work you'd usually expect: https://cnfl.io/4tXyLZ2

We're making it even easier to enable agent collaboration, detect complex anomalies, bring more vector stores into your RAG workflows, and standardize how your agents tap into real-time data. 🤖

Catch up on everything new in Confluent Intelligence: https://cnfl.io/3OPli5v

Confluent Cloud Q1 2026: Queues for Kafka, KCP for migration Explore Confluent Cloud’s Q1 2026 release, including Queues for Kafka, new migration tooling KCP, Confluent Intelligence releases, and more.

Tired of choosing between scaling and saving? Enterprise cluster features like client quotas and fetch-from-follower let you do both.

Check out the lineup of new features: cnfl.io/4ryadEt

No matter what you’re tackling, today’s Confluent Cloud launch is built for you. 💙

Struggling to unify queues and streams? Queues for Kafka support is here!

Bracing for a lengthy migration? Shrink that timeline with Kafka Copy Paste.

Registration officially opens NEXT WEEK for #Current26 London. Mark your calendars and get ready 🏁
Sign up for the "First to Know" list here 👉 https://cnfl.io/3Ovo4Nh

Looking to learn about Apache Iceberg and Tableflow?

Our 🆕 14-module course hosted by @tlberglund.bsky.social covers how Iceberg brings transactions, time travel, and painless schema evolution to petabyte-scale data lakes.

Get started: https://cnfl.io/4c07BdH

How Python Devs Can Build AI Agents Using MCP, Kafka, and Flink

Learn how Python developers build real-time AI agents using MCP, Kafka, and Flink—modern agentic workflows explained on HackerNoon. #pythonmcpaiagents

⏱️ Disaster recovery in less than a minute.

🆕 on the Confluent Blog: Check out this step-by-step proof-of-concept for orchestrating an Apache Kafka client failover using Confluent Cloud Gateway and Cluster Linking.

👉 https://cnfl.io/3MCac33

It’s here! The 2nd Edition of The Ultimate Data Streaming Guide has arrived.
AI is only as good as the data behind it. Stale data from yesterday's ETL job won’t cut it for agentic systems. Discover why data streaming is the real-time foundation for AI in this new book:
https://cnfl.io/3O03c0b

Cloud API Keys vs. Resource-Specific API Keys
What’s the difference? When should you pick one over the other?

Get a breakdown of the scope of access granted by the two key types on Confluent Cloud and the best practices for service accounts + production security: https://cnfl.io/4qIu9nB

🆕 on the Confluent Blog!

Learn how #ConfluentForStartups member Thunai built an agentic AI platform for automating and enhancing customer support, achieving 70–80% L1 support deflection and cutting resolution time from hours to minutes.

Read it here: https://cnfl.io/45VBnfG

How to Build a Custom Kafka Connector: Step-by-Step Guide Learn how to build a custom Kafka connector from scratch with our step-by-step guide. Simplify data streaming with tailored solutions for your business needs.

Learn how to build a custom Apache Kafka connector from scratch with our 🆕 step-by-step guide!

Head to our blog to find everything you need to know about Kafka Connect, why custom connectors are so important, and how you can build one to fit your unique integration needs: https://cnfl.io/3NlDG5p

Current is the definitive place to gather with the people who know just how transformative data streaming is. Today, that transformation is picking up speed, & the tent is getting bigger.

To reflect that, we’re making a few changes to our event line-up this year: https://cnfl.io/4pIdW0z

#current26

Batch dashboards = missed opportunities.
Real-time dashboards = instant action.
Our latest blog shows you how to go from raw data streams to actionable dashboards with Apache Kafka®.
Learn how 👉 https://cnfl.io/3IPxxfM

Unify the Data Stack for AI With Incremental Cloud Migrations Discover how an incremental migration strategy can modernize your data estate, reduce costs and unlock the real-time context your AI models need.

Discover how an incremental migration strategy can modernize your data estate, reduce costs and unlock the real-time context your AI models need.

Thanks to @confluent.io

The biggest cost of a DIY data streaming platform?

Your engineers’ time.

Cluster maintenance ≠ product innovation. See how a data streaming platform’s TCO really breaks down → https://cnfl.io/4qgcrHY

AI agents are only as good as the context they run on.

Don’t let them fall short due to stale, siloed data and unscalable frameworks.

Learn how you can use Confluent and Databricks to build the foundation your agents need to learn, act, and adapt at scale! 👉 https://cnfl.io/3N9IvP9

AI is about to put massive pressure on enterprise data systems. Want to get ahead of it?
Join us on January 15 as they unpack 2026’s top data & AI predictions and show how teams can modernize architecture before AI forces the change.
Register here → https://cnfl.io/3YVypUq

Join us for a free webinar on January 14 at noon CST. Learn about our diskless architecture and:

💸 How we reduce costs by 80+%.
🔐 Our zero-access security approach.
📈 High-throughput customers.
☁️ How WarpStream runs in your own cloud.

Register 👉 buff.ly/yAxGGJW

❗ Its the final countdown❗
Attention Data Streamers: Time is running out to submit your proposals for #Current26 London! The window closes Sunday, Jan 11, at 11:58 PM GMT. More information here 👉 https://cnfl.io/4aK8GWq