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

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

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

2025 was the year enterprises learned to build with AI. (https://cnfl.io/4avQsro) 2026 will be the year they learn to operate as AI-powered organizations. Sean Falconer and Will LaForest predict ✋ key changes that will define AI-fueled enterprises this year: https://cnfl.io/3YYEEH8

Important updates just landed across the Apache Kafka® client ecosystem. With KIP-848 generally available, simplified OAuth-based cloud auth, and better metrics and tooling across languages, these updates make it easier to run Kafka clients reliably in production. -> https://cnfl.io/4pXIUTe

Discover how we're improving Kafka Connect with better observability, security, migrations, and connector flexibility—making data integration easier to scale. Check out our blog now ⬇️ https://cnfl.io/45pAbkm

Turning data into revenue sounds simple… until you try to process massive volumes of events continuously and keep financial-grade consistency. This new guide walks through how to design a low-latency monetization engine using Kafka and Flink. Check it out now ➡️ https://cnfl.io/3Y3WTL6

Check out @itpro.com discussion around our Quick Thinking research earlier this year. The piece highlights why the next generation of leaders must be intentional about diversity and agile in their decision-making.

The future of online shopping won’t happen primarily on websites. It’ll happen through personal, AI agents that can browse, compare, and recommend products to shoppers. 🛍️ So, what does that mean for retailers? Read @seanfalconer.bsky.social's new article in Total Retail to find out. ⤵️

🏆 Confluent Cloud won an @infoworld.bsky.social Technology of the Year Award in the Data Management: Streaming category! ​This win wouldn’t have been possible without our team. Thank you and congratulations on this achievement! Learn how we’re simplifying real-time data use for AI and analytics. ⤵️

Learn how Tableflow converts data to Apache Iceberg or Delta Lake format, and how it can be integrated with Amazon Redshift to query and analyze customer activity snapshots! ⤵️ Dive into our full CDC demo here: https://cnfl.io/4ppcOQ6

The infrastructure that powered the last decade of digital business wasn't designed for context-hungry AI agents.​ 2026 will separate companies that treat AI as a side project from those that rebuild their architectures to support it. Explore 6️⃣ shifts that'll define next year in @thenewstack.io ⤵️

@sandonjacobs.bsky.social is back at the lightboard to introduce KIP-932 - “Queues for Kafka,” unpacking how this new cooperative consumption model enables consumer scaling beyond traditional partition limits via message-level acknowledgement. Watch it here 👉 https://cnfl.io/4956fwe

Turkish ultra-fast grocery delivery service Getir sees a 70% reduction in database costs by implementing Confluent Cloud as a centralized data streaming platform. Read the full story here: https://cnfl.io/4iO8s2i

Check out how Debezium captures real-time data changes from a Postgres database! Learn how inserts, updates, & deletes work and how they’re streamed instantly to ensure auditability, reproducibility, & replayability of the data. Want to learn more? Find our full demo here: https://cnfl.io/4ppcOQ6

We are excited that Confluent has entered a definitive agreement to be acquired by IBM! Learn more here: www.confluent.io/blog/ibm-to-...

🚨Happening next week! On December 11, our hands-on workshop will guide you through the fundamentals of stream processing and Apache Flink. Learn how to filter, join, and enrich streaming data within Confluent Cloud! → https://cnfl.io/4o4zsf5

Want to simplify your dev cycle and speed up streaming app development? Join our virtual workshop on December 10th, to learn how to manage Apache Kafka streams and Apache Flink queries directly from VS Code using our latest integrations! Space is limited, sign up today! ⤵️

Without the right tools to enforce them, data contracts are bound to fail. That’s where Apache Kafka + Apache Flink come in. Learn how these technologies provide a common language to define schemas and data quality rules, which can help make data contracts widespread across your organization. ⤵️

Don’t delay, get your papers in today! Time is of the essence in real-time data streaming, and we need your help to make #Current26 in APAC and EMEA a huge success! Get feedback on your ideas and join our speaker office hours on December 11. Register here: https://cnfl.io/4qUw1u6

⚡️ It’s almost lightning talk time at the Confluent #AWSreInvent booth! Join us at for rapid-fire sessions on the biggest topics in data streaming and real-time AI. Stop by for inspiration, technical walkthroughs, and the latest from Confluent’s product experts. Come learn with us!

⚡️ It’s almost lightning talk time at the Confluent #AWSreInvent booth! Join us for rapid-fire sessions on the biggest topics in data streaming and real-time AI. Stop by booth 721 for inspiration, technical walkthroughs, and the latest from Confluent’s product experts. Come learn with us. ⬇️

Go from Apache Kafka topics to Delta tables + AI agents in this hands-on workshop! On Dec 16th, we'll walk you through implementing an end-to-end, streaming-to-AI insight data pipeline. Get hands-on experience with Tableflow, Oracle XStream CDC, Databricks Genie, + more 👉 https://cnfl.io/3XNJh6h

Learn how to filter, join, and enrich streaming data within Confluent Cloud! On Dec 11th, our hands-on workshop will guide you through the fundamentals of stream processing and Apache Flink. Don't miss out—secure your spot today! → https://cnfl.io/43B1nfe

Thinking about how to access data and get it to where it needs to be has always been a challenge. The rise of AI has made this challenge even more important to overcome. Read Adam Bellemare’s article in @hackernoon.com to learn how to power operations, analytics, and AI using all the same data. ⤵️

AI models work well right out of the box. But if you add in a continuous flow of data that’s relevant to your business, you’ll be in very good (artificial) hands. Head to @thenewstack.io to learn how the features we announced at #Current25 can help your AI tap into the real-time data it needs. ⤵️

Want to bridge the gap between operational data and governed tables without compromising on security or scale? From Delta Lake + Databricks Unity Catalog support to enterprise security features, you're going to love what's 🆕 in Tableflow. Learn more: https://cnfl.io/4hvk9KG

Can you believe it’s already been two weeks since we were at #Current25? Neither can we. Get up-to-speed on the key takeaways from our time in New Orleans—Adrian Bridgwater has you covered. Read his deep dive in Techzine ⤵️

It’s not just bad prompts. AI agents are facing a timing problem: They can't act on critical events because they aren't made aware of them in real time. 🐌 The problem lies in infrastructure. The solution lies in streaming context. Learn more in VentureBeat: https://cnfl.io/43mg7hX

With Confluent Private Cloud, you won’t just be wrangling clusters anymore. You'll be: 🔷 Accelerating Apache Kafka performance at scale with Intelligent Replication 🔷 Centralizing governance with CPC Gateway 🔷 Governing data streams across hybrid environments Find out how: https://cnfl.io/491a5a7

Call for Papers for Current26 in Bengaluru and London is now open! Share your talks on Data Streaming, Kafka, or the future of AI in production etc with the world's most innovative data community. Deadline December 22nd 2025 Bengaluru ➡️ https://cnfl.io/49L8V2J London ➡️ https://cnfl.io/47IBj2Y

Superwall is scaling subscription monetization across billions of users with a team of just 14. @warpstream.com by Confluent + @clickhouse.com Cloud keeps their data flowing and dashboards fast, without the operational headache. Read the full story -> https://cnfl.io/4oorGgV

The predictable patterns an LLM finds in human language don’t exist in internal data. The logic of one report tells the model nothing about the structure of a database made years ago. 🏝️ That means each system is an island. 🗺️ Thankfully, metadata can provide a map to help navigate. Learn how ⤵️

ICYMI—Confluent Platform users can now: ☁️ Bring cloud-grade governance + observability on-prem with Unified Stream Manager 🐿️ ❤️ 🐍 Run Apache Flink jobs in Python 🔍 Gain better visibility + control with new Control Center tools Catch up on what’s new: https://cnfl.io/47kJvHQ

If your system waits for reports, it’s already behind. Skip the BI lag. Learn how to build event-driven workflows with Kafka and Flink -> https://cnfl.io/47qDgCf

Learn why replay and observability are game-changers for AI agents. Iterate faster, debug smarter—see how it all works in this lightboard: https://cnfl.io/3W5tpv9

Want to build a reliable AI application? 🤖 Make sure trustworthy streaming data is at its core. From Confluent Intelligence to a line-up of Tableflow upgrades, find out how our powerful new additions to the world’s data streaming platform can help you do just that: https://cnfl.io/4qUKVk6

From Oracle materialized views to Kafka internals, @rmoff.net has seen it all. @gamussa.dev chats with Robin about lessons learned from his career in data engineering and what it really takes to understand Kafka under the hood. Catch the full episode: https://cnfl.io/4ox1AIA

🎺 🎭 Say hello to our Confluent Community Catalysts Class of 2025-2026! From meetups to mentorship, we’re so grateful for everything you do to support and inspire the data streaming community. We can’t wait to see all the amazing things you’ll achieve this year!

Operating data streaming in hybrid environments can be hard. We just made it easier. Unified Stream Manager is generally available in Confluent Platform 8.1! 🎉 Learn how you can govern and monitor all your clusters—whether on-prem or in the cloud—with a unified view: https://cnfl.io/3LflBF1

Want to build AI agents that collaborate across multi-agent systems, are event-driven, replayable, and grounded in real-time data? 👋 Say hello to the suite of new Streaming Agents features designed to help you build faster, enhance observability, and improve AI decisioning: https://cnfl.io/4oHO8kV

AI is driving change. Data streaming makes it possible for us to adapt. Find out how to be ready for what's next at tomorrow's keynote! #Current25 More info 👉 https://cnfl.io/4qAhZNV