A Day in a Life of a Field CTO at Confluent - Data in Motion with Kai Waehner

This episode sets a new momentum on the Podcast. We've interviewed one of the most active and well-known professionals in the Streaming quadrant.

Kai Waehner currently holds the title of Field of CTO at Confluent with the main goal of working closely with customers and partners across the world (US, EMEA, APAC), internal teams (sales, engineering, product, marketing, evangelism), public relations (industry analysts, press).

We've talked about different topics that involve streaming needs and how Apache Kafka and Confluent Cloud can help the customer along its data streaming journey.

Some of the topics covered are:

• Challenges for companies nowadays
• The true definition of a Streaming Platform
• Apache Kafka and its main use-cases
• The background between Lambda & Kappa architecture
• Confluent Cloud & Apache Kafka
• Features of Confluent Cloud

Kai Waehner = https://www.linkedin.com/in/kaiwaehner/
Blog = https://www.kai-waehner.de
Apache Kafka = https://kafka.apache.org/
Confluent Cloud = https://www.confluent.io/confluent-cloud

Luan Moreno =
https://www.linkedin.com/in/luanmoreno/

Chapters

• 0:50 Who is Kai Waehner?
• 3:37 About Kai's blog
• 9:35 bigs chalenges to work with streaming
• 13:55 True definition of streaming data analytics
• 19:53 Most use cases about kafka
• 23:05 How Kafka works behind the scenes
• 30:13 The main difference between Lambda and Kappa
• 36:36 The role of Kafka in the datamash archictures
• 41:12 Difference between Confluent cloud and Kafka
• 49:20 Most popular feature on Confluent Cloud
• 54:44 Confluent Communit Support