Apache Kafka, every mention
18 scenes (2023) · ← back to Apache Kafka
tap a year for its mentions
every year 2023 anyone Neha Narkhede 27Brett Berson 27Jay Kreps 10Will Larson 3Guillermo Rauch 2Graham Moreno 1
Verbatim, from the transcripts: the passages where Apache Kafka comes up
Winning with open and closed source products | Neha Narkhede (Co-founder at Confluent and Oscilar)
- ▶ 1:14 Brett Berson Neha is one of the authors of Apache Kafka, the open source event streaming platform, which she co-created while working as a principal software engineer at LinkedIn. 2 times in the scene
- ▶ 2:20 Brett Berson Maybe we could start by actually talking about the Kafka story and how that kind of got off the ground when you were at LinkedIn, and then we'll use that to sort of talk about sort of the insight for Confluent. 4 times in the scene
- ▶ 3:57 Brett Berson What made you sort of decide to open source it? 10 times in the scene
- ▶ 8:50 Neha Narkhede But it turned out that big enterprises started using it to a point where we started getting calls from big enterprises to sort of consult with them and help them with their Kafka deployments. 8 times in the scene
- ▶ 13:06 Brett Berson Was it an easy decision to go start an actual company once Kafka started to take off? 10 times in the scene
- ▶ 16:54 Neha Narkhede Yeah, you know, early days we thought all about foundational investments, you know, whether you were a small startup, whether you were a midsize or large company, we believed that these were foundational capabilities that Kafka needs… 4 times in the scene
- ▶ 24:25 Neha Narkhede And, you know, later on why Apache Kafka is the best data streaming technology, but that is, you know, the most important thing that we did and used developer evangelism as a core tool to do that is very much create that new category. 3 times in the scene
- ▶ 27:43 unnamed speaker Each one of us had our strengths and, uh, you know, each one of us, uh, were playing a specific role at LinkedIn in the Apache Kafka team. 6 times in the scene
- ▶ 33:39 Neha Narkhede And most importantly, the reason we did that is also because we wanted Kafka to be the de facto solution to the problem.
- ▶ 36:32 Neha Narkhede At the same time, you know, we had a Kafka team layered on top that would focus on the community development, and
- ▶ 40:03 Neha Narkhede Um, the first few, you know, in, in general for Confluent, first many years, it was completely inbound in the sense that Kafka users knew that we were the Kafka company, and they started reaching into Confluent. 4 times in the scene
- ▶ 48:17 unnamed speaker So they were very much offerings that the open source community needed to reach the next stage of Kafka adoption. 2 times in the scene
- ▶ 50:40 Neha Narkhede So there was only one team ever working on Apache Kafka and the foundation. 3 times in the scene
- ▶ 56:33 Neha Narkhede So that is where the whole fraud and risk space came to mind because it's one of the largest use cases of Kafka on a dollar basis.
- ▶ 1:05:55 Neha Narkhede A streaming system like Kafka.
- ▶ 1:09:08 Neha Narkhede We spent a lot of time focusing on convincing the company that they didn't need a team managing Kafka or their team could be much smaller.
A masterclass in engineering leadership from Carta, Stripe, and Uber | Will Larson (CTO at Carta)
- ▶ 24:06 Will Larson And for example, we've started rolling out Kafka as like a messaging kind of system in many parts of Carta and the navigator and fund administration, like 3 times in the scene
How Vercel found extreme product-market fit by focusing on simplification | Guillermo Rauch (CEO)
- ▶ 30:40 Guillermo Rauch Uh, most recently I remember, uh, there's this company that is creating a faster version of Kafka. 2 times in the scene