January 11, 2021 | Episode 138

Change Data Capture and Kafka Connect on Microsoft Azure ft. Abhishek Gupta

  • Transcript
  • Notes

What’s it like being a Microsoft Azure Cloud advocate working with Apache Kafka® and change data capture (CDC) solutions? Abhishek Gupta would know! At Microsoft, Abhishek focuses his time on Kafka, databases, Kubernetes, and open source projects. His experience in a wide variety of roles ranging from engineering, consulting, and product management for developer-focused products has positioned him well for developer advocacy, where he is now.

Switching gears, Abhishek proceeds to break down the concept of CDC starting off with some of the core concepts such as "commit logs." Abhishek then explains how CDC can turn data around when you compare it to the traditional way of querying the database to access data—you don't call the database; it calls you. He then goes on to discuss Debezium, which is an open source change data capture solution for Kafka. He also covers Azure connectors, Azure Data Explorer, and use cases powered by the Azure Data Explorer Sink Connector for Kafka.

Continue Listening

Episode 139January 20, 2021 | 34 min

Scaling Developer Productivity with Apache Kafka ft. Mohinish Shaikh

Confluent Platform and Confluent Cloud run efficiently largely because of the dedication of the Developer Productivity team. Mohinish Shaikh (Developer, Confluent) talks about how his team builds the product pipelines for the entire event streaming platform and ensures seamless delivery of several engineering processes across engineering and the rest of the org.

Episode 140January 25, 2021 | 44 min

Distributed Systems Engineering with Apache Kafka ft. Guozhang Wang

Tim Berglund picks the brain of a distributed systems engineer, Guozhang Wang, tech lead in the Streaming department of Confluent. Guozhang explains what compelled him to join the Stream Processing team at Confluent coming from the Apache Kafka® core infrastructure.

Episode 141February 1, 2021 | 50 min

Examining Apache Kafka Performance Metrics ft. Alok Nikhil

Coming up with an honest test built on open source tools in an easily documented, replicable environment for a distributed system like Apache Kafka is not simple. Alok Nikhil (Cloud Native Engineer, Confluent) shares about getting Kafka in the cloud and how best to leverage Confluent Cloud for high performance and scalability.

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