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
Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
A Special Announcement from Streaming Audio
How to use Data Contracts for Long-Term Schema Management
How to use Python with Apache Kafka
Next-Gen Data Modeling, Integrity, and Governance with YODA
Migrate Your Kafka Cluster with Minimal Downtime
Real-Time Data Transformation and Analytics with dbt Labs
What is the Future of Streaming Data?
What can Apache Kafka Developers learn from Online Gaming?
Apache Kafka 3.4 - New Features & Improvements
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
What is Data Democratization and Why is it Important?
Git for Data: Managing Data like Code with lakeFS
Using Kafka-Leader-Election to Improve Scalability and Performance
Real-Time Machine Learning and Smarter AI with Data Streaming
The Present and Future of Stream Processing
Top 6 Worst Apache Kafka JIRA Bugs
Learn How Stream-Processing Works The Simplest Way Possible
Building and Designing Events and Event Streams with Apache Kafka
Rethinking Apache Kafka Security and Account Management
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