Confluent

According to the 2024 Data Streaming Report, over 86% of IT leaders prioritize data streaming investments, but how do you go from tech-led to business-wide adoption? Check out Lyndon Hedderly's blog for 5 actionable tips to accelerate your data streaming journey -> https://cnfl.io/408kZXk

??? Happening next week! Tap into lessons from real-world AI success stories and collaborate with your peers to take your GenAI skills to the next level. Whether you're joining us in person or online, secure your spot today → https://cnfl.io/3XEat73

Flink + GenAI = smarter, faster, and always relevant Learn how to supercharge retrieval-augmented generation (RAG) with Flink AI Model Inference and bring real-time contextualized data to your vector database for better LLM outputs: https://cnfl.io/4g91hjB

?? Celebrating Diwali! Yesterday, our Bangalore office got together to kick off festivities with an afternoon of Dandiya, solo performances, and plenty of fun. A major thank you to everyone who joined in and made for such a special afternoon, and a special shout-out to: ? Manasa c Gowda and Mohammad Faheem, winners of our Best Ethnic Wear Contest ? Sujitha Gunturi, our Dandiya Freeze champion ? Irtebat Shaukat, Kumar Utkarsh, and Eishwar Anand, our incredible singers ? Sayoni Bhowmik for the Classical Dance performance Check out some of our favorite moments below! ??

It’s time for the third installment of Danica Fine's blog series where she dives into the beautiful black box that is Apache Kafka?? to help you gain a deeper understanding of how producer and consumer clients interact with a Kafka cluster. In this post, Danica covers preparing the consumer fetch–examining how consumers interact with brokers, coordinate their partitions, and ultimately send requests to read data from Kafka topics. Read it here ?? https://cnfl.io/4dNc00E

Want to find out how the Kora Engine powers Confluent's elasticity, resiliency, speed, and cost-effectiveness? Sign up for an exclusive look into how we re-architected #ApacheKafka's inner workings to deliver cloud-native efficiencies and cost savings! ?? https://cnfl.io/3BJe9gq

How does Apache Kafka? manage to not lose data even when systems crash? How does it work and how can we tell if it’s actually working as expected? Unravel the complexities of #ApacheKafka's replication processes in our latest YouTube video! Afzal Mazhar dives deep into how Kafka ensures data durability, handling replication, monitoring, and the impact of system failures. This insightful walkthrough is perfect for system architects and developers looking for practical experiments and configurations to apply to their Kafka projects. ?? Watch it here: https://lnkd.in/g37JVkf2

He makes a good point. ?? Download our Shift Left eBook and learn how to solve the analytical and operational divide! ?? https://cnfl.io/3XWNqG1

?? Our next round of October Community Meetups are here! Join us in a city near you ?? ??Belfast, Ireland | Join Patrick McKenna from Confluent and Mehreen Tahir from New Relic on October 17 -> https://lnkd.in/edZR5cPs ??Charlotte, NC | Join our very own Sandon Jacobs on October 17 -> https://lnkd.in/eYrcWEVw ??Krakow, Poland | Join Viktor Gamov from Confluent and Krystian Zyba?a on October 22 -> https://lnkd.in/eARccWjX ??Berlin, Germany | Join David Anderson from Confluent and Ramin Gharib from bakdata on October 22 -> https://lnkd.in/e4aHARVq ??Jakarta | Join Kavindra Singh from Aerospike on October 23 -> https://lnkd.in/gz22herk ??Hong Kong, Hong Kong | Join our very own Leo Yuen on October 23 -> https://lnkd.in/eEQWfkbq ??Birmingham, UK | Join Carly Richmond from Elastic and Pradeep Sekar from Streambased on October 24 -> https://lnkd.in/eWWic5Kd ??Cologne, Germany | Join Jan Doberstein ?????? and Stefan Sprenger on October 29 -> https://lnkd.in/eRqrp6RB ?? Bay Area, California | Join Viktor Gamov from Confluent on October 29 -> https://lnkd.in/eDmyDucD ??Sydney, Australia | Join Pradnya Gurjar from Confluent on October 31 -> https://lnkd.in/e-fagFVZ

After undergoing the largest known ZooKeeper to KRaft migration in history, Confluent Cloud is now 100% KRaft, so there is no reason for you not to be as well! Switching to KRaft (with no impact on customer SLAs!) has enabled us to streamline our architecture, improve our scalability, and stabilize operations across our cloud clusters. This high-stakes battle testing on our thousands of clusters proves without a doubt that KRaft is ready for your production workloads, whether you operate a single cluster or hundreds. Learn how to migrate manually, or automate via Confluent for Kubernetes (CFK) or Ansible Playbooks in the latest blog ?? https://cnfl.io/4049KPh