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.

Denne podkasten er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(299)

Tips For Writing Abstracts and Speaking at Conferences

Tips For Writing Abstracts and Speaking at Conferences

A well-written abstract is your ticket to conferences, but how do you write an excellent synopsis that will get accepted? As an experienced conference speaker, Robin Moffatt (Principal Developer Advoc...

16 Jun 202248min

How I Became a Developer Advocate

How I Became a Developer Advocate

What is a developer advocate and how do you become one? In this episode, we have seasoned developer advocates, Kris Jenkins (Senior Developer Advocate, Confluent) and Danica Fine (Senior Developer Adv...

9 Jun 202229min

Data Mesh Architecture: A Modern Distributed Data Model

Data Mesh Architecture: A Modern Distributed Data Model

Data mesh isn’t software you can download and install, so how do you build a data mesh? In this episode, Adam Bellemare (Staff Technologist, Office of the CTO, Confluent) discusses his data mesh proof...

2 Jun 202248min

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Stream processing can be hard or easy depending on the approach you take, and the tools you choose. This sentiment is at the heart of the discussion with Matthias J. Sax (Apache Kafka® PMC member; Sof...

26 Mai 202255min

Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

Apache Kafka® isn’t just for day jobs according to Danica Fine (Senior Developer Advocate, Confluent). It can be used to make life easier at home, too! Building out a practical Apache Kafka® data pipe...

19 Mai 202233min

Apache Kafka 3.2 - New Features & Improvements

Apache Kafka 3.2 - New Features & Improvements

Apache Kafka® 3.2 delivers new KIPs in three different areas of the Kafka ecosystem: Kafka Core, Kafka Streams, and Kafka Connect. On behalf of the Kafka community, Danica Fine (Senior Developer Advo...

17 Mai 20226min

Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

How much can Apache Kafka® scale horizontally, and how can you automatically balance, or rebalance data to ensure optimal performance? You may require the flexibility to scale or shrink your Kafka cl...

11 Mai 202249min

Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

What are useful practices for migrating a system to Apache Kafka® and Confluent Cloud, and why use Confluent to modernize your architecture?Dima Kalashnikov (Technical Lead, Picnic Technologies) is pa...

5 Mai 202234min

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