Apache Kafka, every mention
12 scenes (2018) · ← back to Apache Kafka
tap a year for its mentions
every year 2018 anyone Matt Turck 35Neha Narkhede 32Jon Hyman 10Ben Johnson 5Ajay Kulkarni 5Aaron Katz 5DeVaris Brown 4Zach Sherman 3Sridhar Ramaswamy 3Nick Rockwell 3
Verbatim, from the transcripts: the passages where Apache Kafka comes up
A New Kind of Logging System // Zach Sherman & Ben Johnson, Timber (FirstMark's Data Driven NYC)
- ▶ 2:38 Ben Johnson So we had a Kafka stream set up and then we just pulled batches of data off that Kafka 2 times in the scene
- ▶ 5:30 Ben Johnson Uh, you know, things like Kafka have really kind of, uh, inverted the industry.
- ▶ 8:55 Zach Sherman and then you have the data plane, and, and this is really like Kafka.
- ▶ 9:32 Zach Sherman So just like the old diagram, you see data still comes in from all of our clients, gets put on a, put on a Kafka or Kinesis stream.
- ▶ 10:25 Zach Sherman So, um, your team doesn't have to basically build this entire Kafka pipeline purpose, you know, like purposed around log data and metric data.
- ▶ 16:48 Ben Johnson So for example, um, we fully expect the, the utility we built to be used with the Kafka stream, which does offer certain guarantees around durability and making sure that data is processed, uh, efficiently, uh, that you don't lose the… 2 times in the scene
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 3:25 Spencer Kimball So, part of the problem is there's more and more data, part of the problem is these systems are more complex and intertwined, it's not just your system of records, it's your Kafka queues feeding other systems, and, ah, lots of different…
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 20:36 Ajay Kulkarni I think we're totally complementary to, say, message buses like Kafka. 5 times in the scene
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 6:28 Jon Hyman They're the company that essentially now builds, maintains, and supports Kafka. 7 times in the scene
- ▶ 12:00 Jon Hyman We have our application that is logging data at different decision points over to Kafka, and then we use Kafka Connect in order to just zip that right over to Elasticsearch. 2 times in the scene
- ▶ 14:00 Jon Hyman It's tens of billions of messages into Kafka.
- ▶ 15:11 Matt Turck So using Kafka and Elastic, that's awesome if you have a really strong tech team. 3 times in the scene