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Episode 145February 22, 2021 | 48 min

Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

When it comes to adopting event-driven architectures, a couple of key considerations often arise: the way that an asynchronous core interacts with external synchronous systems and the question of “how do I refactor my monolith into services?” Daniel Jagielski, a consultant working as a tech lead/dev manager at VirtusLab for Tesco, recounts how these very themes emerged in his work with European clients, specifically Tesco.

Episode 144February 17, 2021 | 45 min

Integrating Spring Boot with Apache Kafka ft. Viktor Gamov

Spring Boot enables you to do more with less. Its features offer numerous benefits, making it easy to create standalone, production-grade Spring-based applications that you can just run. In this episode, Viktor Gamov (Developer Advocate, Confluent) joins Tim Berglund on this episode to talk all about Spring and Apache Kafka.

Episode 143February 10, 2021 | 9 min

Confluent Platform 6.1 | What’s New in This Release + Updates

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.

Episode 142February 8, 2021 | 48 min

Building a Microservices Architecture with Apache Kafka at Nationwide Building Society ft. Rob Jackson

Nationwide Building Society, a financial institution in the United Kingdom with 137 years of history and over 18,000 employees, relies on Apache Kafka for their event streaming needs. But how did this come to be? In this episode, Tim Berglund talks with Rob Jackson (Principal Architect, Nationwide) about their Kafka adoption journey as they celebrate two years in production.

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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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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