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Streaming Audio Podcast

Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

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Episode 152April 12, 2021 | 24 min

Automated Cluster Operations in the Cloud ft. Rashmi Prabhu

Running operations on the cloud in a scaling organization can be time consuming, error prone, and tedious. This episode addresses manual upgrades and rolling restarts of Confluent Cloud clusters during releases, fixes, experiments, and the like, and more importantly, the progress that’s been made to switch from manual operations to an almost fully automated process. Rashmi Prabhu, a software engineer on the Control Plane team at Confluent, has the opportunity to help govern the data plane that comprises all these clusters and enables API-driven operations on these clusters.

Episode 151April 7, 2021 | 24 min

Resurrecting In-Sync Replicas with Automatic Observer Promotion ft. Anna McDonald

As most developers and architects know, data always needs to be accessible no matter what happens outside of the system. This week, Tim Berglund virtually sits down with Anna McDonald (Principal Customer Success Technical Architect, Confluent) to discuss how Automatic Observer Promotion (AOP) can help solve the Apache Kafka 2.5 datacenter dilemma, a feature now available in Confluent Platform 6.1 and above.

Episode 150March 31, 2021 | 30 min

Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand.

Episode 149March 24, 2021 | 50 min

Smooth Scaling and Uninterrupted Processing with Apache Kafka ft. Sophie Blee-Goldman

Availability in Kafka Streams is hard, especially in the face of any changes. Apache Kafka Committer and Kafka Streams developer Sophie Blee-Goldman shares about how to solve the stop-the-world rebalance and scaling out problem in Kafka Streams using probing rebalances.

Episode 148March 17, 2021 | 42 min

Event-Driven Architecture - Common Mistakes and Valuable Lessons ft. Simon Aubury

Event-driven architecture has taken on numerous meanings over the years—from event notification to event-carried state transfer, to event sourcing, and CQRS. Why has event-driven programming become so popular, and why is it such a topic of interest? Simon Aubury (Principal Data Engineer, ThoughtWorks) is here to tell all, including his own experiences adopting event-driven technologies and common blunders when working in this area.

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Meet your host

Tim Berglund

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.

Got questions?

If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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