Join Kris Jenkins and guests from the community as they discuss the latest Apache Kafka® news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.
What are some of the common mistakes that you have seen with Apache Kafka record production and consumption? Nikoleta Verbeck (Principal Solutions Architect at Professional Services, Confluent) has a role that specifically tasks her with performance tuning as well as troubleshooting Kafka installations of all kinds. Based on her field experience, she put together a comprehensive list of common issues with recommendations for building, maintaining, and improving Kafka systems that are applicable across use cases.
A well-written abstract is your ticket to conferences, but how do you write an excellent synopsis that will get accepted? As an experienced conference speaker, Robin Moffatt (Principal Developer Advocate, Confluent) often writes presentations that help the developer community to understand Apache Kafka and its ecosystem. He is also the Program Committee Chair for Kafka Summit and Current 2022: The Next Generation of Kafka Summit. Having seen hundreds of conference submissions, Robin shares best practices for crafting abstracts that stand out, as well as tips for speaking at conferences.
What is a developer advocate and how do you become one? In this episode, we have seasoned developer advocates, Kris Jenkins (Senior Developer Advocate, Confluent) and Danica Fine (Senior Developer Advocate, Confluent) answer the question by diving into how they got into the world of developer relations, what they enjoyed the most about their roles, and how you can become one.
Data mesh isn’t software you can download and install, so how do you build a data mesh? In this episode, Adam Bellemare (Staff Technologist, Office of the CTO, Confluent) discusses his data mesh proof of concept and how it can help you conceptualize the ways in which implementing a data mesh could benefit your organization.
Stream processing can be hard or easy depending on the approach you take, and the tools you choose. This sentiment is at the heart of the discussion with Matthias J. Sax (Apache Kafka PMC member; Software Engineer, ksqlDB and Kafka Streams, Confluent) and Jeff Bean (Sr. Technical Marketing Manager, Confluent). With immense collective experience in Kafka, ksqlDB, Kafka Streams, and Apache Flink, they delve into the types of stream processing operations and explain the different ways of solving for their respective issues.
Kris Jenkins is a senior developer advocate for Confluent, a veteran contractor, and former CTO and co-founder of a gold-trading business. He's especially interested in software design, functional programming, real-time systems, and electronic music.
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.Email Us