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Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
264 Episodes
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Apache 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 way to bootstrap the KRaft controllers with SCRAM credentials.KIP-903 prevents a data loss scenario by preventing replicas with stale broker epochs from ...
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 listeners, for spending 10,000 hours with us on this incredible journey.Rest assured, we will be back with more episodes! In the meantime, feel fre...
2Have 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, Confluent) suggests that organizations associate their Apache Kafka® data with a data contract (schema). A data contract is an agreement between a ...
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 entering the event-streaming world.Dave has been an active member of the Kafka community for many years and noticed that there were a lot of Kafk...
In 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 engines, primarily Apache Spark™. They wanted to provide users with self-service tools for generating and utilizing data with maximum flexibility, but enc...
Migrating 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 successful Kafka cluster migrations between different environments. In this episode, Michael shares some tips about Kafka cluster migration with K...
dbt 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 build dashboards on top of that data, or execute tests.It’s possible for an analyst to adapt this process for use with a microservice application usi...
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 infrastructure containers themselves, and not on the thousands of data connections that form within. When they finally realize that they don't have a w...
What 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 systems with decades of innovative techniques to teach us.In this episode, Ben talks with Kris about integrating gaming concepts with Apache K...
Apache 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 subscription to include the highest stable generation that consumer was a part of. KIP-830 includes a new configuration setting that allows you to ...
How 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. In this episode, Roman joins Kris to discuss tracing and monitoring in distributed systems using OpenTelemetry. He talks about how monitoring ea...
Data 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 in modern systems.Rama explains that tech has unprecedented control over data and ignores basic business needs. Tech’s influence has largely ...
Is 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 facilitate better management and testing of data.At its core, lakeFS provides teams with better data management. A theoretical data engineer on a large tea...
How 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 it works, what can go wrong, and how it's being improved.Adithya explains that you can configure a certain number of replicas to be distributed acro...
Are 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-founder Steffen Hoellinger explains how his company is expanding the reach of stream-processing tools and ideas beyond the world of programmers.Airy ...
The 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 his colleagues Danica Fine, Senior Developer Advocate, and Robin Moffatt, Principal Developer Advocate, for an end-of-year roundtable on this year...
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 really works?”She shares a lot of interesting details about how batching works, the replication protocol, how Kafka’s networking stack dances with Lin...
Could 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 conceived the idea while writing a traditional manuscript for engineers and technicians interested in building stream processing applications. He wished he...
What 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 or applications. They enable dynamic behavior, allowing each service or application to respond quickly to changes in its environment. Using events, ...
Is 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 podcast, Kris Jenkins talks to Anuj Sawani (Security Product Manager, Confluent) about the centralized identity management system he helped build to i...
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Remember those childhood dreams where you’d build the most fantastic machine out of LEGOs, only to find out that real-life engineering is much harder? Double Cloud is here to make those dreams come true—but with data, not LEGOs. Imagine constructing an entire data pipeline in just one day. That’s right—one day. Check out https://double.cloud/services/managed-kafka/. Double Cloud’s platform is like a giant box of digital LEGOs, offering managed services like ClickHouse and Kafka, all while making sure everything fits together perfectly. Their no-code ELT tool is the magic brick that snaps everything into place, letting you sync data in real time without breaking a sweat. And maintenance? It’s like having a team of LEGO master builders on call, handling sharding, backups, and scaling, so you can focus on the fun part—innovating. Worried about security? Double Cloud has that covered too, with encryption and compliance so tight, it’s like locking your LEGOs in a vault. Curious about their
Remember those screeching modem sounds? The excruciating wait for a single image to load? The 90s internet was like a one-lane highway for information. Today, it's a ten-lane superhighway with self-driving cars! We can download movies in minutes, stream music on-demand, and connect with anyone in the world instantly. It's a data explosion, and companies are scrambling to keep up. That's where services like https://double.cloud/ come in. Imagine Apache Kafka® as a super efficient traffic controller, sorting and delivering all this data at breakneck speed. It helps businesses handle the information overload and make real-time decisions – because in today's world, speed is king.
Apache Kafka 3.2, the latest version of the popular distributed streaming platform, comes packed with new features and improvements that enhance its performance, scalability, and security. Some of the key updates include support for OAuth 2.0, improved error handling, and better handling of slow consumers. But to truly harness the power of Apache Kafka, it's important to have the right platform to support your analytics applications. This is where Double Cloud comes in. DoubleCloud is a platform that specializes in building analytics applications with second-by-second processing using proven open-source technologies such as ClickHouse and Kafka. With DoubleCloud, businesses can create powerful analytics applications that process real-time data with precision and speed. The platform's expertise in Apache Kafka and ClickHouse makes it a valuable partner for companies looking to optimize their data processing capabilities. If you're interested in learning more about Double Cloud and ho