Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

Tim Berglund (Senior Director of Developer Experience, Confluent) explains what’s new in Apache Kafka® 2.3 and highlights some of the most important Kafka Improvement Proposals (KIPs). EPISODE LINKS Read the blogWatch the video version of this podcastSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you lis...

Episoder(288)

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Th...

15 Sep 202234min

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

How do you analyze Reddit sentiment with Apache Kafka® and microservices? Bringing the fresh perspective of someone who is both new to Kafka and the industry, Shufan Liu, nascent Developer Advocate at...

8 Sep 202235min

Capacity Planning Your Apache Kafka Cluster

Capacity Planning Your Apache Kafka Cluster

How do you plan Apache Kafka® capacity and Kafka Streams sizing for optimal performance? When Jason Bell (Principal Engineer, Dataworks and founder of Synthetica Data), begins to plan a Kafka cluster,...

30 Aug 20221h 1min

Streaming Real-Time Sporting Analytics for World Table Tennis

Streaming Real-Time Sporting Analytics for World Table Tennis

Reimagining a data architecture to provide real-time data flow for sporting events can be complicated, especially for organizations with as much data as World Table Tennis (WTT). Vatsan Rama (Director...

25 Aug 202234min

Real-Time Event Distribution with Data Mesh

Real-Time Event Distribution with Data Mesh

Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refact...

18 Aug 202248min

Apache Kafka Security Best Practices

Apache Kafka Security Best Practices

Security is a primary consideration for any system design, and Apache Kafka® is no exception. Out of the box, Kafka has relatively little security enabled. Rajini Sivaram (Principal Engineer, Confluen...

11 Aug 202239min

What Could Go Wrong with a Kafka JDBC Connector?

What Could Go Wrong with a Kafka JDBC Connector?

Java Database Connectivity (JDBC) is the Java API used to connect to a database. As one of the most popular Kafka connectors, it's important to prevent issues with your integrations. In this episode...

4 Aug 202241min

Apache Kafka Networking with Confluent Cloud

Apache Kafka Networking with Confluent Cloud

Setting up a reliable cloud networking for your Apache Kafka® infrastructure can be complex. There are many factors to consider—cost, security, scalability, and availability. With immense experience b...

28 Jul 202237min

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