Infrastructure control plane for your coding agents. Agents deploy, you stay in control.

New York 🇺🇸 / Paris 🇫🇷
Joined October 2019
1/ Nov 12, Paris: "Agents in production: beyond the demo". Alan, AWS and Qovery host an evening of talks on running AI agents in production. 🧵
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3/ Romaric Philogène (CEO, Qovery) on "Who gives the agent access to production?": scope, check and contain, with a live demo of policy-based agent tokens.
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Qovery retweeted
1/ Tip: Debug production without opening a shell inside the live pod. 🐚
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1/ Tip: Debug production without opening a shell inside the live pod. 🐚
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3/ Handy for database migrations, one-off scripts or checking config. Need more room for a heavy data job? Add --memory 2Gi --cpu 1.
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Wonderful
Rebuilt the @Qovery_ onboarding this week, with a few small details like the transition between steps
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1/ Qovery Training is live for every Qovery customer. It's a sandbox copy of the Console on fake data, so you can deploy, roll back or delete an environment and nothing reaches your cloud account. 🎓
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2/ 18 tracks and 68 lessons for software engineers, DevOps, platform and security teams, from Basics to Expert. Migration tracks too: Heroku, Vercel and Cloudflare to AWS.
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1/ Heroku database upgrades could take Getsafe offline for up to eight hours. 🛡️ Getsafe is one of Europe's leading digital neo-insurers, and people use its app daily.
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3/ With no dedicated DevOps team, they moved to AWS with Qovery on top. Downtime during critical upgrades went away, and a data engineer who isn't a backend developer built and deployed an ML service in one day.
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1/ Live in 30 minutes: the migration takes 2 weeks, deciding to do it takes 6 months. 🕔 5pm Paris / 11am ET, with Guillaume Da Silva.
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2/ On the agenda: where migration time really goes, the human constraints that stall the decision, and which preparation steps AI agents can automate today.
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3/ Bring the migration that has sat on your roadmap for more than a quarter. Is it stuck on the workloads, or on the decision? linkedin.com/events/75120464…
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