Confluent Platform 6.1 further simplifies management tasks for Apache Kafka® operators. Based on Apache Kafka 2.7, this release provides even higher availability for enterprises who are using Kafka as the central backbone for their business-critical applications. Confluent Platform 6.1 delivers enhancements that reduce the risk of downtime, simplify operations and streamline the user experience, as well as improve visibility and control with centralized management.
EPISODE LINKS
Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole
Handling 2 Million Apache Kafka Messages Per Second at Honeycomb
Why Data Mesh? ft. Ben Stopford
Serverless Stream Processing with Apache Kafka ft. Bill Bejeck
The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps
What’s Next for the Streaming Audio Podcast ft. Kris Jenkins
On to the Next Chapter ft. Tim Berglund
Intro to Event Sourcing with Apache Kafka ft. Anna McDonald
Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela
Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs
Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra
From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine
Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik
Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris
Running Hundreds of Stream Processing Applications with Apache Kafka at Wise
Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan
Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira
ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury
Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger
Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell
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