Reinventing Kafka on object storage (Interview)
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Thank you.
What's up, friends? Welcome back. This is The Change Law. We feature the hackers, the leaders, and those who are building data streaming platforms inspired by Kafka. Yes, today's conversation revolves around Kafka and data streaming. We're joined by Ryan Worrell, co-founder and CTO at WarpStream. Last year, they posted a blog titled Kafka is Dead, Long Live Kafka. And that, of course, hit the top of hacker news and put WarpStream on the map. Today, we get the backstory on why Kafka is so widely used and who created it and for what purpose, and more importantly, the story of WarpStream. And the question they asked themselves was this, what would Kafka look like if it was redesigned from the ground up today to run in modern cloud environments directly on top of object storage with no local disks to manage, but still had to support the existing Kafka protocol? Well, that's just the premise for today's conversation. A massive thank you to our friends and partners over at Fly.io.
More than 3 million apps have launched on Fly, and we're one of them. Scalable full stack without the cortisol. No stress. Learn more at Fly.io. Okay, let's Kafka. What's up, friends? I'm here with a new friend of mine, Sagar Bachu, co-founder and CEO at Speakeasy. You know, I've had the pleasure of meeting several people behind the scenes at Speakeasy, and I'm very impressed with what they're doing to help teams to create idiomatic SDKs, enterprise-grade SDKs in nine languages, and it's just awesome. So, Sagar, walk me through the process of how Speakeasy helps teams to create enterprise-grade idiomatic SDKs at scale.
You know, APIs are tough things to manage. For a company, the OpenAPI spec, this great standard, widely adopted standard to describe and document SDKs, is the best chance the company has towards documenting it, understanding point in time what is the API, and also ownership. What are the APIs? How are they grouped? Which teams are on them? What services do they get deployed to? There's a lot of questions there that often we see teams and companies kind of struggling to answer. So speakeasy is a forcing function for them to invest in making that open API spec as great as possible. Completely descriptive, fully enriched. Speakeasy helps with those gaps. We have deterministic and AI tools to kind of fill in the gaps for them.
And so the better and better that OpenAPI spec gets, the better chance you have at serving your community. The end value is always to the end user who is actually integrating with your API. So if your open API has gaps in it, more likely they are into errors. They don't understand what they're implementing. It gets tough to maintain because it becomes institutionalized knowledge as opposed to described on the document. So there's a lot of great reasons why you invest in that open API spec. Any artifact like that that you're going to invest a ton of time into needs tooling to manage. And that's what speakeasy is at its core. It's tooling to manage that open API spec, give you kind of very clear change management principles around it, version it, understand exactly what versions are used for what SDKs. If you invest in that spec and use speakeasy, you'll have a good document. The moment you have a good document, you could have good or great SDKs, which make integration easy.
The way SpeakEasy works there is you point us at your document, wherever it lives, in GitHub or maybe some other file storage or somewhere else. We detect changes as it evolves, as different people contribute to it, and we send you new updated code every time that happens. The moment we send you code, there's an opportunity for you to review that and say, you know, yes or no. Like this is new code we want to ship to our customer. We do that heavy lifting of generating that code, giving you kind of provenance of its spec. But leave you as human in the loop to decide, okay, am I going to serve my ecosystem with a new version of the spec in SDK? So that's the kind of core workflow that we're built around.
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