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Episode 205March 22, 2022 | 42 min

Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

Data availability, usability, integrity, and security are words that we sometimes hear a lot. But what do they actually look like when put into practice? That’s where data governance comes in. This becomes especially tricky when working with real-time data architectures.

Episode 204March 15, 2022 | 41 min

Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

In this episode, you’ll get a taste of how Apache Kafka is used at Honeycomb! Liz Fong-Jones (Principal Developer Advocate, Honeycomb) explains how Honeycomb manages Kafka-based telemetry ingestion pipelines and scales Kafka clusters. Honeycomb is an observability platform that helps you visualize, analyze, and improve cloud application quality and performance. Their data volume has grown by a factor of 10 throughout the pandemic, while the total cost of ownership has only gone up by 20%.

Episode 203March 10, 2022 | 44 min

Why Data Mesh? ft. Ben Stopford

With experience in data infrastructure and distributed data technologies, author of the book “Designing Event-Driven Systems” Ben Stopford (Lead Technologist, Office of the CTO, Confluent) explains the data mesh paradigm, differences between traditional data warehouses and microservices, as well as how you can get started with data mesh.

Episode 201March 3, 2022 | 42 min

Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

What is serverless? Having worked as a software engineer for over 15 years and as a regular contributor to Kafka Streams, Bill Bejeck (Integration Architect, Confluent) is an Apache Kafka committer and author of “Kafka Streams in Action.” In today’s episode, he explains what serverless and the architectural concepts behind it are.

Episode 201February 24, 2022 | 46 min

The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

When it comes to Apache Kafka, there’s no one better to tell the story than Jay Kreps (Co-Founder and CEO, Confluent), one of the original creators of Kafka. In this episode, he talks about the evolution of Kafka from in-house infrastructure to a managed cloud service and discusses what’s next for infrastructure engineers who used to self-manage the workload.

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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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