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
Real-time Threat Detection Using Machine Learning and Apache Kafka
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Decoupling with Event-Driven Architecture
If Streaming Is the Answer, Why Are We Still Doing Batch?
Security for Real-Time Data Stream Processing with Confluent Cloud
Running Apache Kafka in Production
Build a Real Time AI Data Platform with Apache Kafka
Optimizing Apache JVMs for Apache Kafka
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Application Data Streaming with Apache Kafka and Swim
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
How to Build a Reactive Event Streaming App - Coding in Motion
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Capacity Planning Your Apache Kafka Cluster
Streaming Real-Time Sporting Analytics for World Table Tennis
Real-Time Event Distribution with Data Mesh
Apache Kafka Security Best Practices
What Could Go Wrong with a Kafka JDBC Connector?
Apache Kafka Networking with Confluent Cloud
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