Armon Dadgar on HashiCorp's Practitioner Approach

Armon Dadgar on HashiCorp's Practitioner Approach

Armon Dadgar and Mitchell Hashimoto are long-time open source practitioners. It's that practitioner focus they established as core to their approach when they started HashiCorp about ten years ago. Today, HashiCorp is a publicly traded company.

Before they started HashiCorp, Dadgar and Hashimoto were students at the University of Washington. Through college and afterward, they cut their teeth on open source and learning how to build software in open source.

HashiCorp's business is an outgrowth of the two as practitioners in open source communities, said Dadgar, co-founder and CTO of HashiCorp, in an interview at the HashiConf conference in Los Angeles earlier this month.

Both of them wanted to recreate the asynchronous collaboration that they loved so much about the open source projects they worked on as practitioners, Dadgar said. They knew that they did not want bureaucracy or a hard-to-follow roadmap.

Dadgar cited Terraform as an example of their approach. Terraform is Hashicorp's open-source, infrastructure-as-code, software tool and reflects the company's model to control its core while providing a good user experience. That experience goes beyond community development and into the application architecture itself.

"If you're a weekend warrior, and you want to contribute something, you're not gonna go read this massively complicated codebase to understand how it works, just to do an integration," Dadgar said." So instead, we built a very specific integration surface area for Terraform."

The integration is about 200 lines of code, Dadgar said. They call the integration their core plus plugin model, with a prescriptive scaffold, examples of how to integrate, and the SDK. Their "golden path" to integration is how the company has developed a program that today has about 2,500 providers.

The HashiCorp open source model relies on its core and plugin model. On Twitter, one person asked why doesn't HashiCorp be a proprietary company. Dadgar referred to HashiCorp's open source approach when asked that question in our interview.

"Oh, that's an interesting question," Dadgar said. "You know, I think it'd be a much harder, company to scale. And what I mean by that is, if you take a look at like a Terraform community or Vault – there's thousands of contributors. And that's what solves the integration problem. Right? And so if you said, we were proprietary, hey, how many engineers would it take to build 2000 TerraForm integrations? It'd be a whole lot more people that we have today. And so I think fundamentally, what open source helps you solve is the fact that, you know, modern infrastructure has this really wide surface area of integration. And I don't think you can solve that as a proprietary business."

"I don't think we'd be able to have nearly the breadth of integration. We could maybe cover the core cloud providers. But you'd have 50 Terraform providers, not 2500 Terraform providers."

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

Why CPUs still matter in the age of AI agents

Why CPUs still matter in the age of AI agents

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Pate...

11 Aug 26min

Why Doist Says Less AI Can Deliver More

Why Doist Says Less AI Can Deliver More

Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subt...

31 Jul 35min

Why your company should (try to) build its own AI SRE

Why your company should (try to) build its own AI SRE

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human ...

30 Jul 30min

Nvidia

Nvidia

In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them prac...

23 Jul 32min

Meet Brain, the AI that decides when Azure is officially down

Meet Brain, the AI that decides when Azure is officially down

In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasi...

14 Jul 19min

What comes after attention? This startup says it already knows.

What comes after attention? This startup says it already knows.

Subquadratic is beginning to back up its ambitious claims with benchmarks and third-party validation for its SubQ 1.1 Small model, which uses its proprietary Sparse Attention (SSA) architecture to dra...

7 Jul 20min

“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production

“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production

Harness has introduced Autonomous Worker Agents, a new capability that allows enterprises to replace rigid CI/CD pipeline scripts with AI agents that can deploy applications, run tests, and perform se...

2 Jul 19min

Public cloud vs. on-prem: Summit on where each workload belongs

Public cloud vs. on-prem: Summit on where each workload belongs

More than two decades after AWS helped usher in the public cloud era, many organizations are reassessing whether a cloud-first strategy still delivers the cost and operational benefits it once promise...

25 Jun 36min

Populært innen Politikk og nyheter

giver-og-gjengen-vg
aftenpodden
forklart
stopp-verden
popradet
fotballpodden-2
rss-gukild-johaug
dine-penger-pengeradet
hanna-de-heldige
det-store-bildet
rss-ness
e24-podden
nokon-ma-ga
lydartikler-fra-aftenposten
frokostshowet-pa-p5
rss-utenrikskomiteen-med-bogen-og-grasvik
aftenpodden-usa
oppdatert
grasoner-den-nye-kalde-krigen
rss-penger-polser-og-politikk