COURSES LEARN DESIGN, BUILD, RUN COMMUNITY DOCS QUICK START Streaming Audio: A Confluent Podcast about Apache Kafka Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud. All Topics SEARCHSUBSCRIBE EPISODE 187NOVEMBER 23, 2021 | 29 MIN Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger Many of us find ourselves in the position of equipping others to use Apache Kafka after we’ve gained an understanding of what Kafka is used for. But how do you communicate and teach others event streaming concepts effectively? As a Pluralsight instructor and business intelligence consultant, Eugene Meidinger shares tips for creating consumable training materials for conveying event streaming concepts to developers and IT administrators, who are trying to get on board with Kafka and stream processing. EPISODE 186NOVEMBER 16, 2021 | 37 MIN Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Connect that acts as the destination for failed messages due to errors like improper message deserialization and improper message formatting. Lots of Jason’s work is around Kafka Connect and the Kafka Streams API, and in this episode, he explains the fundamentals of dead letter queues, how to use them, and the parameters around them. EPISODE 185NOVEMBER 9, 2021 | 12 MIN Confluent Platform 7.0: New Features + Updates Confluent Platform 7.0 has launched and includes Apache Kafka 3.0, plus new features introduced by KIP-630: Kafka Raft Snapshot, KIP-745: Connect API to restart connector and task, and KIP-695: Further improve Kafka Streams timestamp synchronization. Reporting from Dubai, Tim Berglund (Senior Director, Developer Advocacy, Confluent) provides a summary of new features, updates, and improvements to the 7.0 release, including the ability to create a real-time bridge from on-premises environments to the cloud with Cluster Linking. EPISODE 184NOVEMBER 4, 2021 | 35 MIN Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck Kafka Streams is a native streaming library for Apache Kafka that consumes messages from Kafka to perform operations like filtering a topic’s message and producing output back into Kafka. After working as a developer in stream processing, Bill Bejeck (Apache Kafka Committer and Integration Architect, Confluent) has found his calling in sharing knowledge and authoring his book, “Kafka Streams in Action.” As a Kafka Streams expert, Bill is also the author of the Kafka Streams 101 course on Confluent Developer, where he delves into what Kafka Streams is, how to use it, and how it works. EPISODE 183OCTOBER 26, 2021 | 30 MIN Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang Managing infrastructure as code (IaC) instead of using manual processes makes it easy to scale systems and minimize errors. Rosemary Wang (Developer Advocate, HashiCorp, and author of “Essential Infrastructure as Code: Patterns and Practices”) is an infrastructure engineer at heart and an aspiring software developer who is passionate about teaching patterns for infrastructure as code to simplify processes for system admins and software engineers familiar with Python, provisioning tools like Terraform, and cloud service providers. 1 2 3 4 5 ... 38 › 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. EMAIL US Never miss an episode! Be the first to get updates and new content SIGN UP We will only share developer content and updates, including notifications when new content is added. We will never send you sales emails. 🙂 By subscribing, you understand we will process your personal information in accordance with our Privacy Statement. Confluent About Careers Contact Professional Services Product Confluent Cloud ksqlDB Developer Free Courses Tutorials Event Streaming Patterns Documentation Blog Podcast Community Forum Meetups Kafka Summit Catalysts Terms & Conditions | Privacy Policy | Do Not Sell My Information | Modern Slavery Policy | Cookie Settings Copyright © Confluent, Inc. 2014-2021. Apache, Apache Kafka, Kafka, and associated open source project names are trademarks of the Apache Software Foundation By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookie Notice Cookies Settings Reject All Accept All Cookies