Neil Patel has always been a hacker - electronics boards, radios, etc. - being interested in how things work, mechanically or digitally. He learned hard work at his Father's convenience store, while also reading every computer magazine on the rack. He is a pharmacologist by study, but landed in tech cause he is passionate about it. Outside of tech, he loves architecture and design. He also loves to read, in particular sci fi, and enjoys eating Gujarati food, which is purely vegetarian food with tons of flavors.Prior to 2020, Neil and his team was attempting to build tooling around understanding the data around events. After a while, they realized that no matter what was done on top of an event store, you couldn't realize value without storing all events. So they pivoted, and focused on fixing the data store problem first.This is the creation story of Axiom.SponsorsPermitCacheFlyClearQueryKiteworksLinkshttps://axiom.co/https://www.linkedin.com/in/njpatel/Our Sponsors:* Check out Kinsta: https://kinsta.com* Check out Red Hat: https://www.redhat.com* Check out Vanta: https://vanta.com/CODESTORYSupport this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Full Episode
So I've been working on my authorization service, and it's totally sweet. It's only taken me six months to build it. Just six months. I started implementing some basic RBAC library, but that wasn't enough, obviously. So I designed relationship-based, fine-grained authorization for the highest security possible.
And then, to make it super fast, I used a GPU tower, running in my mom's basement, of course, connected via optic cable to a bare metal server at my local esports lounge. Permissions, restrictions, and admin. Nailed it.
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The data store we were building was very novel in architecture. And at the time, we felt like as long as we did these three things, we would have it done within a certain number of months, basically. And we were trying to go for the ingest will be brand new and we'll do it like this. Storage will only use object storage. Queries will only use serverless.
And exactly how you'd expect engineers to behave, we were like, and we'll get it done within six months, right? Or eight months or whatever it was. The reality, though, was that for the API and the front-end side, we just ate the tech debt and we just repurposed it to make it work in that timeframe. I'm Neil Jagdish Patel, and I'm the co-founder and CEO of Axiom.
This is CodeStory. A podcast bringing you interviews with tech visionaries. Who share what it takes to change an industry. Who built the teams that have their back. Keeping scalability top of mind. All that infrastructure was a pain. Yes, we've been fighting it as a group. Total waste of time. The stories you don't read in the headlines. It's not an easy thing to achieve.
Took it off the shelf and dusted it off and tried it again. To ride the ups and downs of the startup life. You need to really want it. It's not just about technology. All this and more on Code Story. I'm your host, Noah Labhart. And today, how Neil Patel is urging you to stop sampling events, but to cut to the chase and observe them all. This episode is sponsored by KiteWorks.
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