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
Event-Driven Systems and Agile Operations
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Blockchain Data Integration with Apache Kafka
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Common Apache Kafka Mistakes to Avoid
Tips For Writing Abstracts and Speaking at Conferences
How I Became a Developer Advocate
Data Mesh Architecture: A Modern Distributed Data Model
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Apache Kafka 3.2 - New Features & Improvements
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
Confluent Platform 7.1: New Features + Updates
Scaling an Apache Kafka Based Architecture at Therapie Clinic
Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs
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