To process your data you need to know what shape it has, which is why schemas are important. When you are processing that data in multiple systems it can be difficult to ensure that they all have an accurate representation of that schema, which is why Confluent has built a schema registry that plugs into Kafka. In this episode Ewen Cheslack-Postava explains what the schema registry is, how it can be used, and how they built it. He also discusses how it can be extended for other deployment targets and use cases, and additional features that are planned for future releases.
Your data platform needs to be scalable, fault tolerant, and performant, which means that you need the same from your cloud provider. Linode has been powering production systems for over 17 years, and now they’ve launched a fully managed Kubernetes platform. With the combined power of the Kubernetes engine for flexible and scalable deployments, and features like dedicated CPU instances, GPU instances, and object storage you’ve got everything you need to build a bulletproof data pipeline. If you go to dataengineeringpodcast.com/linode today you’ll even get a $100 credit to use on building your own cluster, or object storage, or reliable backups, or… And while you’re there don’t forget to thank them for being a long-time supporter of the Data Engineering Podcast!
- Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure
- When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at dataengineeringpodcast.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your data pipelines or trying out the tools you hear about on the show.
- Continuous delivery lets you get new features in front of your users as fast as possible without introducing bugs or breaking production and GoCD is the open source platform made by the people at Thoughtworks who wrote the book about it. Go to dataengineeringpodcast.com/gocd to download and launch it today. Enterprise add-ons and professional support are available for added peace of mind.
- Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.
- You can help support the show by checking out the Patreon page which is linked from the site.
- To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers
- Your host is Tobias Macey and today I’m interviewing Ewen Cheslack-Postava about the Confluent Schema Registry
- How did you get involved in the area of data engineering?
- What is the schema registry and what was the motivating factor for building it?
- If you are using Avro, what benefits does the schema registry provide over and above the capabilities of Avro’s built in schemas?
- How did you settle on Avro as the format to support and what would be involved in expanding that support to other serialization options?
- Conversely, what would be involved in using a storage backend other than Kafka?
- What are some of the alternative technologies available for people who aren’t using Kafka in their infrastructure?
- What are some of the biggest challenges that you faced while designing and building the schema registry?
- What is the tipping point in terms of system scale or complexity when it makes sense to invest in a shared schema registry and what are the alternatives for smaller organizations?
- What are some of the features or enhancements that you have in mind for future work?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
- Schema Registry
- Second Life
- Eve Online
- Yes, Virginia, You Really Do Need a Schema Registry
- Protocol Buffers
- Kafka Connect