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

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 understanding and approach to building systems.


Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®, Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.

Tämä podcast on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi podcastin jaksot saattavat sisältää mainontaa.

Jaksot(299)

Application Data Streaming with Apache Kafka and Swim

Application Data Streaming with Apache Kafka and Swim

How do you set data applications in motion by running stateful business logic on streaming data? Capturing key stream processing events and cumulative statistics that necessitate real-time data assess...

3 Loka 202239min

International Podcast Day - Apache Kafka Edition | Streaming Audio Special

International Podcast Day - Apache Kafka Edition | Streaming Audio Special

What’s your favorite podcast? Would you like to find some new ones? In celebration of International Podcast Day, Kris Jenkins invites 12 experts from the Apache Kafka® community to talk about their fa...

30 Syys 20221h 2min

How to Build a Reactive Event Streaming App - Coding in Motion

How to Build a Reactive Event Streaming App - Coding in Motion

How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programm...

20 Syys 20221min

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Th...

15 Syys 202234min

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

How do you analyze Reddit sentiment with Apache Kafka® and microservices? Bringing the fresh perspective of someone who is both new to Kafka and the industry, Shufan Liu, nascent Developer Advocate at...

8 Syys 202235min

Capacity Planning Your Apache Kafka Cluster

Capacity Planning Your Apache Kafka Cluster

How do you plan Apache Kafka® capacity and Kafka Streams sizing for optimal performance? When Jason Bell (Principal Engineer, Dataworks and founder of Synthetica Data), begins to plan a Kafka cluster,...

30 Elo 20221h 1min

Streaming Real-Time Sporting Analytics for World Table Tennis

Streaming Real-Time Sporting Analytics for World Table Tennis

Reimagining a data architecture to provide real-time data flow for sporting events can be complicated, especially for organizations with as much data as World Table Tennis (WTT). Vatsan Rama (Director...

25 Elo 202234min

Real-Time Event Distribution with Data Mesh

Real-Time Event Distribution with Data Mesh

Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refact...

18 Elo 202248min

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