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 th ...
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The podcast about all things data streaming, where we will talk all about streaming, messaging, and event driven architectures.
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A new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee
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We're back! Welcome to the Confluent Developer Podcast.
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1:20Weekly episodes launching Sept. 22! | Hi, I'm Tim Berglund. It's been about four years since I've been podcasting at Confluent, and "Streaming Audio" has been on hiatus for a little more than two, but I've got great news: we are back! We're back with a new name, a new format, and new hosts. Welcome to the Confluent Developer Podcast, where we talk …
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Streaming Caffeine E8: Richard&Ryan (WarpStream) and Jove
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32:36I interviewed the two founders at WarpStream.com at Current23
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Streaming Caffeine E7: Ting&Jove interviewed by Hubert&Ralph during Current23, about Timeplus,Proton
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18:16During Current 2023, the data streaming conference organized by Confluent, Hubert and Ralph talked to Ting (CEO at Timeplus) and me (Jove, Head of Product at Timeplus). We talked about the newly-opensourced Timeplus Proton and how the streaming capability will help ClickHouse users to get more things done.…
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Streaming Caffeine E6: Giannis(Ververica) and Jove(Timeplus): Apache Flink, Pimon, CDC and Current23
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55:49In this episode, Jove chatted with Giannis, Streaming Data Architect at Ververcia, the original creator of Apache Flink. Giannis has been in the space for a loooong time: Pulsar/StreamNative/Flink/Aiven/Ververica. We talked about upcoming #Current23 (both of us will be there in person), #Flink #FlinkCDC #Debezium #Paimon #Database #DataWarehouse an…
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Streaming Caffeine E5: Leonid(Feldera) and Jove(Timeplus)
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52:38Leonid, cofounder at Feldera, happened to be in Vancouver, to join VLDB, Very Large Database conference, and they won best paper award.Jove and Leonid met in Nero, a waffle shop, and talked about streaming processor, cloud, onprem, customers and many other topics.00:00 meet in waffle shop 01:00 best paper in VLDB, incremental computation06:00 incre…
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Streaming Caffeine E4: Mastafa(Resmo) and Jove(Timeplus)
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31:52TBD
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Streaming Caffeine E3: Yaroslav(Goldsky) and Jove(Timeplus)
1:18:57
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1:18:57Welcome to the latest episode of Streaming Cafe with your host, Jove! In this exciting interview, Jove is joined by a special guest, Yarosalv, Principal Software Engineer at Goldsky, to delve into the realm of data streaming, engineering challenges, and real-world experiences. Timestamps: 00:00:00 Welcome Yarosalv00:01:40 Yaroslav self-intro, Activ…
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Streaming Caffeine E2: Tun(Quix) and Jove(Timeplus)
1:14:08
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1:14:08Second episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffeeThe talk happened on Aug 24, online, with Tun (VP of Data/DevRel at Quix) and Jove(cofounder and Head of Product at Timeplus)0:00:00 Intro of Tun and Quix0:01:00 About coffee0:04:00 Fast/slow coffee0:05:40 …
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Streaming Caffeine E1: Zander(Bytewax) and Jove(Timeplus)
1:24:29
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1:24:29Very first episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee. The first talk happened on Aug 14, in Vancouver, with Zander (cofounder and CEO at Bytewax) and Jove(cofounder and Head of Product at Timeplus)
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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
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11:25Apache Kafka® 3.5 is here with the capability of previewing migrations between ZooKeeper clusters to KRaft mode. Follow along as Danica Fine highlights key release updates. Kafka Core: KIP-833 provides an updated timeline for KRaft. KIP-866 now is preview and allows migration from an existing ZooKeeper cluster to KRaft mode. KIP-900 introduces a wa…
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After recording 64 episodes and featuring 58 amazing guests, the Streaming Audio podcast series has amassed over 130,000 plays on YouTube in the last year. We're extremely proud of these achievements and feel that it's time to take a well-deserved break. Streaming Audio will be taking a vacation! We want to express our gratitude to you, our valued …
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How to use Data Contracts for Long-Term Schema Management
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57:28Have you ever struggled with managing data long term, especially as the schema changes over time? In order to manage and leverage data across an organization, it’s essential to have well-defined guidelines and standards in place around data quality, enforcement, and data transfer. To get started, Abraham Leal (Customer Success Technical Architect, …
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Can you use Apache Kafka® and Python together? What’s the current state of Python support? And what are the best options to get started? In this episode, Dave Klein joins Kris to talk about all things Kafka and Python: the libraries, the tools, and the pros & cons. He also talks about the new course he just launched to support Python programmers en…
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Next-Gen Data Modeling, Integrity, and Governance with YODA
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55:55In this episode, Kris interviews Doron Porat, Director of Infrastructure at Yotpo, and Liran Yogev, Director of Engineering at ZipRecruiter (formerly at Yotpo), about their experiences and strategies in dealing with data modeling at scale. Yotpo has a vast and active data lake, comprising thousands of datasets that are processed by different engine…
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Migrate Your Kafka Cluster with Minimal Downtime
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1:01:30Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space for many years, designing and managing systems to support high-volume applications. He has helped many organizations strategize, design, and implement…
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Real-Time Data Transformation and Analytics with dbt Labs
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43:41dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL tool like Fivetran to pull data from the database into the warehouse, then using dbt to manage the transformations in the warehouse. Analysts can then bu…
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What’s the next big thing in the future of streaming data? In this episode, Greg DeMichillie (VP of Product and Solutions Marketing, Confluent) talks to Kris about the future of stream processing in environments where the value of data lies in their ability to intercept and interpret data. Greg explains that organizations typically focus on the inf…
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What can Apache Kafka Developers learn from Online Gaming?
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55:32What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven) has come to the world of real-time event streaming from an usual source: the video games industry. And if you stop to think about it, modern online games are complex, distributed real-time data s…
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Apache Kafka 3.4 - New Features & Improvements
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5:13Apache Kafka® 3.4 is released! In this special episode, Danica Fine (Senior Developer Advocate, Confluent), shares highlights of the Apache Kafka 3.4 release. This release introduces new KIPs in Kafka Core, Kafka Streams, and Kafka Connect. In Kafka Core: KIP-792 expands the metadata each group member passes to the group leader in its JoinGroup sub…
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How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
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50:01How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation Division Labs team working to build business-critical OpenTelemetry applications so companies can see what’s happening inside their data pipelines. I…
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What is Data Democratization and Why is it Important?
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47:27Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better business decisions. In this episode, Rama Ryali, a Senior IT and Data Executive, chats with Kris Jenkins about the importance of data democratization…
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Git for Data: Managing Data like Code with lakeFS
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30:42Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used to facilita…
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Using Kafka-Leader-Election to Improve Scalability and Performance
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51:06How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically partition leader election. In this episode, he gives Kris Jenkins a deep dive into the power of leader election in Kafka replication, why we need it, how i…
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Real-Time Machine Learning and Smarter AI with Data Streaming
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38:56Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-source data-streaming platform, uses Apache Kafka® to help business teams deliver better results to their customers. In this episode, Airy CEO and co-fo…
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The Present and Future of Stream Processing
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31:19The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing and when companies should adopt microservice architecture inspired several talks at this year’s industry conferences. In this episode, Kris is joined by…
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Entomophiliac, Anna McDonald (Principal Customer Success Technical Architect, Confluent) has seen her fair share of Apache Kafka® bugs. For her annual holiday roundup of the most noteworthy Kafka bugs, Anna tells Kris Jenkins about some of the scariest, most surprising, and most enlightening corner cases that make you ask, “Ah, so that’s how it rea…
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Learn How Stream-Processing Works The Simplest Way Possible
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31:29Could you explain Apache Kafka® in ways that a small child could understand? When Mitch Seymour, author of Mastering Kafka Streams and ksqlDB, wanted a way to communicate the basics of Kafka and event-based stream processing, he decided to author a children’s book on the subject, but it turned into something with a far broader appeal. Mitch conceiv…
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Building and Designing Events and Event Streams with Apache Kafka
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53:06What are the key factors to consider when developing event-driven architecture? When properly designed, events can connect existing systems with a common language and allow data exchange in near real time. They also help reduce complexity by providing a single source of truth that eliminates the need to synchronize data between different services o…
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Rethinking Apache Kafka Security and Account Management
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41:23Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can be error-prone. And when employees leave, their access must be revoked, thus potentially introducing security risks if an admin misses one. In this pod…
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