February 19, 2020 | Episode 84

Knative 101: Kubernetes and Serverless Explained with Jacques Chester

  • Notes

What is Knative and how does it simplify Kubernetes-related processes through seamless extension? Jacques Chester (Software Engineer, VMware) is publishing a book called “Knative in Action” that walks through the problems Knative is trying to solve. You don’t need to be an expert to fully understand Knative, so start getting hands on and see what you can do with it! You also don't need to be an expert on Kubernetes to read the book, but some experience with the tool can help you get it working with your software more quickly. This episode will help you understand the relationship between Knative and serverless and simplify your Kubernetes cluster.

Continue Listening

Episode 85February 26, 2020 | 55 min

Towards Successful Apache Kafka Implementations ft. Jakub Korab

Jakub Korab discusses what professional services actually is and how it relates to customer success. It all centers around what customers want to do, and you’ll hear about trends, Kafka use cases, and real-life examples of professional services in action within various industries over the last year.

Episode 86March 4, 2020 | 48 min

Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

Gwen Shapira shares about what it's like to be a distributed systems engineer at Confluent and best tips for approaching a project like Apache Kafka. She talks through the steps she took to get to Confluent and how she got started working with Apache Kafka, including her experience as on the PMC for the Apache Software Foundation.

Episode 87March 11, 2020 | 53 min

Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

TensorFlow is Google's version of wrangling various technologies to help group them together and work smoothly as large amounts of data flow through. Chris Mattmann, author of Machine Learning with TensorFlow, explains neural networks, how technology simulates cerebral processes that take place when our visual cortex receives a new image, and a use case that involves Apache Kafka® and event streaming to achieve TensorFlow's goals.

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If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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