Qovery @Qovery

Infrastructure control plane for your coding agents. Agents deploy, you stay in control. qovery.com New York 🇺🇸 / Paris 🇫🇷 Joined October 2019

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Qovery @Qovery

2 days ago

@raycast extension is here and updated

Rémi @Bonnet_Remi

2 days ago

I just updated the Qovery Raycast extension. It now supports OAuth login and multiple organizations! raycast.com/remibonnet/qov…

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Qovery @Qovery

2 days ago

Migrate from Heroku to @awscloud @googlecloud @Azure @Scaleway - in one command - Read more qovery.com/migrate

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Qovery @Qovery

3 days ago

I just got @Qovery from the X Handle Marketplace! Get your own at handles.x.com

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Romaric Philogène @rophilogene

6 days ago

I demoed to a Fortune 500 what it means to manage infrastructure in an agentic way. They’re seriously considering modernizing their Platform Engineering approach. Their biggest fear - the reason they came to us - is governance without compromising the SDLC. I showed these aren’t mutually exclusive; they can coexist very nicely. With Qovery, platform engineers provide agentic capabilities on their infrastructure, with full governance and auditability. Something I see more and more: infrastructure teams are under heavy pressure to meet the demand from product engineering teams that are heavily using AI, but they fall short when it’s time to deploy and control their apps. That’s where the SDLC breaks - and DevOps needs to catch up. It’s something we’ve solved for years at @qovery

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Romaric Philogène @rophilogene

7 days ago

Agentic infrastructure ≠ “just give the agent a sandbox.” A sandbox lets an agent run code. Agentic infrastructure lets the agent provision, deploy, observe, secure, and optimize - with RBAC, audit logs, budgets, and policy enforcement baked into every action. Most stacks still force agents to navigate 5-8 human-shaped tools. That’s the bottleneck. We’re building the control plane that fixes this at @qovery

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Romaric Philogène @rophilogene

a week ago

Some news about @qovery : We’re building the infrastructure control plane for coding agents: one where every operation is policy-checked before execution, logged, attributable, and reversible. The missing piece for safely letting agents autonomously operate infrastructure.

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Qovery @Qovery

a week ago

@rophilogene

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Romaric Philogène @rophilogene

a week ago

AI agents still haven’t made it all the way to infrastructure. Platform engineers use them to check what’s going on - but not to take action. What’s missing is a trust layer that lets agents operate safely, with real guarantees and peace of mind.

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Qovery @Qovery

3 weeks ago

@garrytan @ycombinator 💜

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Romaric Philogène @rophilogene

3 weeks ago

My team had one more call this week with a platform engineer at a fast-growing company. He spent 45 minutes asking them about Terraform state locks, cluster management, and whether he'd get "locked in" to a vendor. Fair questions. Ten years ago 😬.

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Romaric Philogène @rophilogene

4 weeks ago

Great to finally meet @ivanburazin from @daytonaio in person at RAISE Summit last week. We shared the stage, and I’m genuinely energized by how our two companies approach agentic infrastructure in deeply complementary ways.

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Romaric Philogène @rophilogene

a month ago

Glad to be tomorrow at @RaiseSummit for the AI infrastructure round table with Ivan from @daytonaio and Phil from Linkup - moderated by Clayton Petty from @GradientVC. Let’s meet in person - I’ll be there from 6pm to 8pm. @qovery

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Qovery @Qovery

3 months ago

Learn how Alan went from NGINX to Envoy in production and what actually broke along the way 👀 From real issues to real lessons → no theory, just production reality. eu1.hubs.ly/H0tYfX20

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Qovery @Qovery

3 months ago

How do you stay compliant without killing engineering velocity? Join our webinar with Lucis on May 21 | 5pm CET / 11am EST / 8am PST Register 👉 eu1.hubs.ly/H0tS2680 #HealthTech #DevOps #Kubernetes #Compliance #Webinar

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Qovery @Qovery

4 months ago

Incident response is evolving. MCP servers = runbooks → executable, real-time investigation workflows. Read more 👇 eu1.hubs.ly/H0tNg8n0

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Qovery @Qovery

4 months ago

What if deploying an app was just a prompt? We shipped the Qovery Skill for AI agents 🤖 Deploy production apps from a single instruction. Intent → Deployed No YAML. No pipelines. No infra wrangling. 👉 eu1.hubs.ly/H0tHbSH0 #AI #DevOps #AIAgents

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Qovery @Qovery

7 months ago

We have everything you need to engage with Qovery: 1. UI: github.com/Qovery/console 2. Qovery Terraform Provider: qovery.com/docs/terraform… 3. CLI: qovery.com/docs/cli/overv… 4. API: qovery.com/docs/api-refer… 5. MCP Server: qovery.com/docs/copilot/m… Happy New Year's Eve ✨

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Rémi @Bonnet_Remi

a year ago

How we built a performant logs interface at @qovery. I wrote a small write-up to share what worked, what didn’t, and what we learned remibonnet.com/writing/buildi…

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Qdrant @qdrant_engine

a year ago

🚀 @qovery supercharged its AI-powered DevOps Copilot with Qdrant Its goal is to let any developer manage infrastructure using natural language, without needing deep DevOps expertise. To do this well, the system needs access to a large and fast-moving corpus of infrastructure data, and it needs to search it with low latency and high accuracy.