A high-load digital asset trading platform operated on manual deployments with no CI/CD. Every update was a risk. In 7 days, we built GitOps infrastructure with full environment reproducibility and zero downtime.
The team came back to us 6 months later with a report:
"Before, every deployment was an event. Now we deploy 5-6 times a day and don't think about it. ArgoCD just works."
— CTO, Crypto Exchange (FinTech / Web3)
This was not an AI project — but a private LLM is installed on exactly this kind of foundation. A regulated client moving inference in-house needs the same things a crypto exchange does: reproducible environments, secrets in Vault, managed access through Keycloak and a full audit trail of who shipped what. Without that layer underneath, a model does not get into production.
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