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
Confluent Platform 7.0: New Features + Updates
Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck
Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang
Getting Started with Spring for Apache Kafka ft. Viktor Gamov
Powering Event-Driven Architectures on Microsoft Azure with Confluent
Automating DevOps for Apache Kafka and Confluent ft. Pere Urbón-Bayes
Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt
Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi
Apache Kafka 3.0 - Improving KRaft and an Overview of New Features
How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray
What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani
Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia
Using Apache Kafka and ksqlDB for Data Replication at Bolt
Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank
Advanced Stream Processing with ksqlDB ft. Michael Drogalis
Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour
Collecting Data with a Custom SIEM System Built on Apache Kafka and Kafka Connect ft. Vitalii Rudenskyi
Consistent, Complete Distributed Stream Processing ft. Guozhang Wang
Powering Real-Time Analytics with Apache Kafka and Rockset
Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear
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