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PODCAST

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their

technology how to

All Episodes

34:51

Real-Time Change Data Capture and Data Integration...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2022/01/06

Getting data from a database management system (DBMS) into Apache Kafka® in real time is a subject of ongoing innovation. John Neal (Principal Solution Architect, Qlik) and Adam Mayer (Senior Technical Producer Marketing Manager, Qlik) explain how leveraging change data capture (CDC) for data ingestion into Kafka enables real-time data-driven insights. It can be challenging to ingest data in real time. It is even more challenging when you have multiple data sources, including both traditional

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34:59

Modernizing Banking Architectures with Apache Kafka...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/12/28

It’s been said that financial services organizations have been early Apache Kafka® adopters due to the strong delivery guarantees and scalability that Kafka provides. With experience working and designing architectural solutions for financial services, Fotios Filacouris (Senior Solutions Engineer, Enterprise Solutions Engineering, Confluent) joins Tim to discuss how Kafka and Confluent help banks build modern architectures, highlighting key emerging use cases from the sector. Previously, Kafka was

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31:08

Running Hundreds of Stream Processing Applications...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/12/21

What’s it like building a stream processing platform with around 300 stateful stream processing applications based on Kafka Streams? Levani Kokhreidze (Principal Engineer, Wise) shares his experience building such a platform that the business depends on for multi-currency movements across the globe. He explains how his team uses Kafka Streams for real-time money transfers at Wise, a fintech organization that facilitates international currency transfers for 11 million customers. Getting to this point

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28:20

Lessons Learned From Designing Serverless Apache...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/12/14

You might call building and operating Apache Kafka® as a cloud-native data service synonymous with a serverless experience. Prachetaa Raghavan (Staff Software Developer I, Confluent) spends his days focused on this very thing. In this podcast, he shares his learnings from implementing a serverless architecture on Confluent Cloud using Kubernetes Operator. Serverless is a cloud execution model that abstracts away server management, letting you run code on a pay-per-use basis without infrastructure

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33:57

Using Apache Kafka as Cloud-Native Data System ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/12/07

What does cloud native mean, and what are some design considerations when implementing cloud-native data services? Gwen Shapira (Apache Kafka® Committer and Principal Engineer II, Confluent) addresses these questions in today’s episode. She shares her learnings by discussing a series of technical papers published by her team, which explains what they’ve done to expand Kafka’s cloud-native capabilities on Confluent Cloud. Gwen leads the Cloud-Native Kafka team, which focuses on developing new

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30:42

ksqlDB Fundamentals: How Apache Kafka, SQL, and...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/12/01

What is ksqlDB and how does Simon Aubury (Principal Data Engineer, Thoughtworks) use it to track down the plane that wakes his cat Snowy in the morning? Experienced in building real-time applications with ksqlDB since its genesis, Simon provides an introduction to ksqlDB by sharing some of his projects and use cases. ksqlDB is a database purpose-built for stream processing applications and lets you build real-time data streaming applications with SQL syntax. ksqlDB reduces the complexity of having

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29:28

Explaining Stream Processing and Apache Kafka ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/11/23

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

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37:41

Handling Message Errors and Dead Letter Queues in...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/11/16

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,

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12:16

Confluent Platform 7.0: New Features + Updates

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/11/09

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

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35:32

Real-Time Stream Processing with Kafka Streams ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/11/04

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

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30:08

Automating Infrastructure as Code with Apache Kafka...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/10/26

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

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32:44

Getting Started with Spring for Apache Kafka ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/10/19

What’s the distinction between the Spring Framework and Spring Boot? If you are building a car, the Spring Framework is the engine while Spring Boot gives you the vehicle that you ride in. With experience teaching and answering questions on how to use Spring and Apache Kafka® together, Viktor Gamov (Principal Developer Advocate, Kong) designed a free course on Confluent Developer and previews it in this episode. Not only this, but he also explains why the opinionated Spring Framework would be a good

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38:42

Powering Event-Driven Architectures on Microsoft...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/10/14

When you order a pizza, what if you knew every step of the process from the moment it goes in the oven to being delivered to your doorstep? Event-Driven Architecture is a modern, data-driven approach that describes “events” (i.e., something that just happened). A real-time data infrastructure enables you to provide such event-driven data insights in real time. Israel Ekpo (Principal Cloud Solutions Architect, Microsoft Global Partner Solutions, Microsoft) and Alicia Moniz (Cloud Partner Solutions

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26:08

Automating DevOps for Apache Kafka and Confluent ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/10/07

Autonomy is key in building a sustainable and motivated team, and this core principle also applies to DevOps. Building self-serve Apache Kafka® and Confluent Platform deployments require a streamlined process with unrestricted tools—a centralized processing tool that allows teams in large or mid-sized organizations to automate infrastructure changes while ensuring shared standards are met. With more than 15 years of engineering and technology consulting experience, Pere Urbón-Bayes (Senior Solution

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31:18

Intro to Kafka Connect: Core Components and...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/09/28

Kafka Connect is a streaming integration framework between Apache Kafka® and external systems, such as databases and cloud services. With expertise in ksqlDB and Kafka Connect, Robin Moffatt (Staff Developer Advocate, Confluent) helps and supports the developer community in understanding Kafka and its ecosystem. Recently, Robin authored a Kafka Connect 101 course that will help you understand the basic concepts of Kafka Connect, its key features, and how it works.What’s Kafka Connect, and how does

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30:08

Designing a Cluster Rollout Management System for...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/09/23

As one of the top coders of her Java coding class in high school, Twesha Modi is continuing to follow her passion for computer science as a senior at Cornell University, where she has proven to be one of the top programmers. During Twesha's summer internship at Confluent, she contributed to designing a new service to automate Apache Kafka® cluster rollout management—a process that releases the latest Kafka versions to customer’s clusters in Confluent Cloud.During Twesha’s internship, she was

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15:17

Apache Kafka 3.0 - Improving KRaft and an Overview of...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/09/21

Apache Kafka® 3.0 is out! To spotlight major enhancements in this release, Tim Berglund (Apache Kafka Developer Advocate) provides a summary of what’s new in the Kafka 3.0 release from Krakow, Poland, including API changes and improvements to the early-access Kafka Raft (KRaft). KRaft is a built-in Kafka consensus mechanism that’s replacing Apache ZooKeeper going forward. It is recommended to try out new KRaft features in a development environment, as KRaft is not advised for production yet. One of

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35:18

How to Build a Strong Developer Community with Global...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/09/14

A developer community brings people with shared interests and purpose together. The fundamental elements of a community are to gather, learn, support, and create opportunities for collaboration. A developer community is also an effective and efficient instrument for exploring and solving problems together. The power of a community is its endless advantages, from knowledge sharing to support, interesting discussions, and much more. Tim Berglund invites Ale Murray (Global Community Manager, Confluent)

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34:56

What Is Data Mesh, and How Does it Work? ft. Zhamak...

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/09/09

The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analytical purposes in real time, right at the point of origin. The idea of data mesh was introduced by Zhamak Dehghani (Director of Emerging Technologies, Thoughtworks) in 2019. Here, she provides an introduction to data mesh and the fundamental problems that it’s trying to solve. Zhamak describes that the

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31:04

Multi-Cluster Apache Kafka with Cluster Linking ft....

Confluent Developer ft. Tim Berglund, Adi Polak &... ·

2021/08/31

Note: This episode was recorded when Cluster Linking was in preview mode. It’s now generally available as part of the Confluent Q3 ‘21 release on August 17, 2021. Infrastructure needs to react in real time to support globally distributed events, such as cloud migration, IoT, edge data collection, and disaster recovery. To provide a seamless yet cloud-native, cross-cluster topic replication experience, Nikhil Bhatia (Principal Engineer I, Product Infrastructure, Confluent) and the team engineered a

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292 results

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