March 30, 2020 | Episode 91

Cloud Marketplace Considerations with Dan Rosanova

  • Notes

As the fundamental data abstractions used by developers have changed over time, event streams are now the present and the future. Coming from decades of experience in messaging, Dan Rosanova (Senior Group Product Manager for Confluent Cloud, Confluent) discusses the pros and cons of cloud event streaming services on Google Cloud Platform (GCP), Microsoft Azure, and Confluent Cloud. He also compares major stream processing and messaging services: Cloud Pub/Sub vs. Azure Event Hubs vs. Confluent Cloud, and outlines major differences among them. 

Also on the table in today’s episode are cloud lock-in, the anxieties around it, and where cloud marketplaces are headed.

Continue Listening

Episode 92April 6, 2020 | 41 min

How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

There’s something about YAML and the word “Docker” that doesn’t sit well with Viktor Gamov (Developer Advocate, Confluent), but Kafka Streams on Kubernetes is a phrase that does. Viktor describes what that process looks like and how Jib helps build, test, and deploy Kafka Streams applications on Kubernetes for an improved DevOps experience.

Episode 93April 15, 2020 | 55 min

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

James Urquhart (Global Field CTO, VMware) is writing a book about worldly mapping and evaluating user needs in order to make event streaming a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more uses for integration.

Episode 94April 16, 2020 | 10 min

Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

Apache Kafka® 2.5 is here, and we’ve got some Kafka Improvement Proposals (KIPs) to discuss! Tim Berglund shares improvements and changes to over 10 KIPs all within the realm of Core Kafka, Kafka Connect, and Kafka Streams, including foundational improvements to exactly-once semantics, the ability to track a connector’s active topics, and adding a new co-group operator to the Streams DSL.

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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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