Summary

There have been several generations of platforms for managing streaming data, each with their own strengths and weaknesses, and different areas of focus. Pulsar is one of the recent entrants which has quickly gained adoption and an impressive set of capabilities. In this episode Sijie Guo discusses his motivations for spending so much of his time and energy on contributing to the project and growing the community. His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. This was a great conversation about the strengths of the Pulsar project, how it has evolved in recent years, and some of the innovative ways that it is being used. Pulsar is a well engineered and robust platform for building the core of any system that relies on durable access to easily scalable streams of data.

Announcements

• Hello and welcome to the Data Engineering Podcast, the show about modern data management
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• Your host is Tobias Macey and today I’m interviewing Sijie Guo about the current state of the Pulsar framework for stream processing and his experiences building a managed offering for it at StreamNative

Interview

• Introduction
• How did you get involved in the area of data management?
• Can you start by giving an overview of what Pulsar is?
  • How did you get involved with the project?
• What is Pulsar’s role in the lifecycle of data and where does it fit in the overall ecosystem of data tools?
• How has the Pulsar project evolved or changed over the past 2 years?
  • How has the overall state of the ecosystem influenced the direction that Pulsar has taken?
• One of the critical elements in the success of a piece of technology is the ecosystem that grows around it. How has the community responded to Pulsar, and what are some of the barriers to adoption?
  • How are you and other project leaders addressing those barriers?
• You were a co-founder at Streamlio, which was built on top of Pulsar, and now you have founded StreamNative to offer Pulsar as a service. What did you learned from your time at Streamlio that has been most helpful in your current endeavor?
  • How would you characterize your relationship with the project and community in each role?
• What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?
  • Why is streaming data such an important capability?
  • How have projects such as Kafka and Pulsar impacted the broader software and data landscape?
• What are some of the most interesting, innovative, or unexpected ways that you have seen Pulsar used?
• When is Pulsar the wrong choice?
• What do you have planned for the future of StreamNative?

Contact Info

• LinkedIn
• @sijieg on Twitter
• sijie on GitHub

Parting Question

• From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

• Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.
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Links

• Apache Pulsar
  • Podcast Episode
• StreamNative
• to-expand-streaming-expertise-announces-intent-to-acquire-streamlio-open-source-distributed-messaging-leader.html?utm_source=rss&utm_medium=rss">Streamlio
• Hadoop
• HBase
• Hive
• Tencent
• Yahoo
• BookKeeper
• Publish/Subscribe
• Kafka
• Zookeeper
  • Podcast Episode
• Kafka Connect
• Pulsar Functions
• Pulsar IO
• Kafka On Pulsar
  • Webinar Video
• Pulsar Protocol Handler
• OVH Cloud
• Open Messaging
• ActiveMQ
• Kubernetes
• Helm
• Pulsar Helm Charts
• Grafana
• BestPay(?)
• Lambda Architecture
• Event Sourcing
• WebAssembly
• Apache Flink
  • Podcast Episode
• summit.org/?utm_source=rss&utm_medium=rss">Pulsar Summit

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA