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

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

Confluent
Data Streaming
Confluent
Kafka
Java
Apache Kafka
Kafka Streams
Mike Agnich
Apache Flink
Artificial Intelligence
Software Development
Product Management
Warpstream
Parquet
Startup Experiences
Kafka Connect
Microservices
Postgres
Encryption
Credit Card Security
AI In Engineering

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 th... more

PublishesWeeklyEpisodes299Founded8 years ago
Number of ListenersCategories
How ToEducationTechnology

Listen to this Podcast

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

Latest Episodes

Tim Berglund talks to Andrew Schofield (Confluent) about his career in Apache Kafka. Andrew’s first job: working on queuing systems in 1991. His challenge: working at Confluent and in the Kafka community to bring queue semantics into Kafka while also... more

Tim Berglund talks to John Miller (Enid Technologies) and Eric Broda (Agentic Mesh Company) about their work on agent mesh and enterprise agents. Their challenge: rethinking agents as enterprise-grade participants in business processes.

SEASON 2

Ho... more

Tim Berglund talks to Matthias J. Sax (Confluent) about 10 whole years of Kafka Streams! Matthias’ first job: electrician-in-training on BMW’s assembly lines. His challenge: reflecting on 10 years of Kafka Streams growth, major milestones, and what c... more

Tim Berglund talks to Gunnar Morling (Confluent) about his career in open source Java and data infrastructure. Gunnar’s first job: a student PHP developer in AMD’s e-learning group. His challenge: building Hardwood, a fast, multi-threaded Parquet eng... more

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

Andrew Schofield
Principal engineer at Confluent; Kafka committer and PMC member
Confluent
Episode: 155 Contributors Later: Where Kafka Is Headed ft. Andrew Schofield | Ep. 34
John Miller
Co-founder of Enid Technologies; AI systems builder and data architect
Enid Technologies
Episode: Agent Mesh: A Microservice With a Brain ft John Miller & Eric Broda | Ep. 33
Eric Broda
Technology executive; author on service mesh, data mesh, and agents
Independent/Partnered with Enid Technologies
Episode: Agent Mesh: A Microservice With a Brain ft John Miller & Eric Broda | Ep. 33
Matthias Sax
Key contributor to Kafka Streams, discussed as guest
Kafka Streams community / Confluent contributor
Episode: 10 Years of Kafka Streams with Matthias J. Sax | Ep. 32
Gunnar Morling
Open-source developer and project lead; creator of Hardwood parquet parser
Independent / Confluent contributor
Episode: Gunnar Morling Built a New Parquet Engine with AI | Ep. 31
Russell Spitzer
Principal Software Engineer at Snowflake
Snowflake
Episode: How AI Is Changing Apache Iceberg with Russell Spitzer | Ep. 30
Caleb Grillo
Staff product manager for Confluent WarpStream
Confluent WarpStream
Episode: Being Wrong in the Right Direction with Caleb Grillo | Ep. 29
Mateo Rojas
Kafka veteran discussing early days and architecture
LittleHorse
Episode: Building Banking Systems with Kafka Streams with Mateo Rojas | Ep. 28
Joseph Morais
Technical champion at Confluent
Confluent
Episode: The AI Impact on the Developer Future with Joseph Morais | Ep. 27

Hosts

Tim Berglund
Host of Confluent Developer; long-time software engineer and open-source contributor
Adi Polak
Host of Confluent Developer podcast; focuses on data streaming and developer tooling
Viktor Gamov
Host focusing on Kafka, data streaming, and developer-focused content

Reviews

4.9 out of 5 stars from 149 ratings
  • Best podcast

    This is a must listen for me while working out and a go to for informal technical chat and knowledge sharing

    Apple Podcasts
    5
    akideepi
    India4 years ago
  • Grate!

    Podcast Addict
    5
    Przemek
    6 years ago
  • A class

    Tim is probably the best tech speaker I have ever listened. Please keep doing them.

    Apple Podcasts
    5
    Srikars
    United States6 years ago
  • Kafka on Kubernetes discussion

    The last 5 mins was gold. Sets the standard for where we need to be vs where we are. Very informative.

    Apple Podcasts
    5
    Mr Gripps
    Australia6 years ago
  • Can’t stop listening.

    This podcast is so good that I started at episode 1 and am going through them all. It’s amazing how well these complex topics are explained via audio.

    Apple Podcasts
    5
    AllTheNickNamesAreTaken1984
    United States7 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Short, focused episodes deliver high-quality technical discussions.
The host makes complex topics approachable and actionable.
Listeners praise practical insights into Kafka and data streaming.

Top Technology Podcasts

Tomorrow, Today
Tomorrow, TodayShekhar Natarajan
Acquired
AcquiredBen Gilbert and David Rosenthal
Hard Fork
Hard ForkThe New York Times
The Room Podcast
The Room PodcastClaudia Laurie and Madison McIlwain

Talking Points

Recent interactions between the hosts and their guests.

10 Years of Kafka Streams with Matthias J. Sax | Ep. 32
Q: Can you summarize the major milestones in the development of Kafka Streams over the last decade?
The pivotal milestones include the initial production-readiness of Kafka Streams, the introduction of exactly-once processing, the development and maturation of the topology test driver, and the evolution of rebalance and warm-up mechanisms to enable zero-downtime state migrations, complemented by significant broker integration and community-driven features like header stores and collaboration with Michelin.
Gunnar Morling Built a New Parquet Engine with AI | Ep. 31
Q: What is your stance on using AI to write code and tests for this project?
95% of code is AI-generated, but all outputs are reviewed by humans to ensure correctness, with tests largely written by Claude and a strong emphasis on using existing Parquet test suites to verify compatibility and behavior.
Gunnar Morling Built a New Parquet Engine with AI | Ep. 31
Q: How do you approach parallelism beyond one thread per column?
Initial column-level parallelism was too coarse; the team moved to a page-level distribution within columns, assigning threads to pages so that slow pages don't bottleneck faster ones, enabling better utilization of multi-core CPUs.
Gunnar Morling Built a New Parquet Engine with AI | Ep. 31
Q: Why did you decide to build a new Parquet parser instead of improving the existing Parquet Java library?
The existing Parquet Java library pulls in the Hadoop stack and carries a heavy dependency footprint, plus it is single-threaded; Hardwood aims to be zero-dependency where possible, use multi-core parallelism, and explore LM-assisted development to see if those tools can be fit for purpose for this low-level codebase.
Being Wrong in the Right Direction with Caleb Grillo | Ep. 29
Q: Tell us about yourself and your path to WarpStream and Confluent.
Caleb recounts his background from NGO work to product management, migration to Confluent in 2019, and the move to WarpStream in 2023 before rejoining Confluent, emphasizing cross-functional collaboration and a hunger for ambitious projects.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

The show consistently centers on real-world data streaming challenges, practical tooling, and the intersections of AI with software engineering. Episodes surface deep dives into Parquet, Iceberg, Kafka, Flink, and platform design, often featuring practitioners from Confluent, Snowflake, and partner ecosystems. A notable strength is translating dense technical topics into accessible discussions, with a balance of architectural tradeoffs, open-source governance, and product strategy that helps listeners understand when and how to apply these technologies in production.

Where can I find podcast stats for this podcast?

Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does this podcast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for this podcast?

Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does this podcast have?

To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

How many episodes of this podcast are there?

this podcast launched 8 years ago and published 299 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact this podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for this podcast?

Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for this podcast?

Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Andrew Schofield
2. John Miller
3. Eric Broda
4. Matthias Sax
5. Gunnar Morling
6. Russell Spitzer
7. Caleb Grillo
8. Mateo Rojas

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days