Self‑Service Cloud Infrastructure for AI Teams Using IssueOps and GitOps

Описание и применение

Автоматизированный процесс IssueOps и GitOps ускорил развертывание инфраструктуры для AI‑команд, сократив время от недель до минут, обеспечив безопасность и аудит.

Задача

Platform engineering teams were bottlenecked by manual ticketing and hand‑written IaC, causing weeks of delay for AI teams to provision baseline cloud infrastructure.

Результат

Reduced provisioning time from weeks to minutes, eliminated manual ticketing, ensured compliance through automated gates, and maintained an immutable audit trail linked to Git commits.

Рабочий процесс

• 1. Developer submits a structured Service Onboarding Request via issue template
• 2. Automated pipeline validates naming, ownership, network tiers
• 3. Pipeline generates IaC (registries, keys, roles) and GitOps manifests
• 4. Pipeline opens PRs to infrastructure and deployment repos
• 5. Automated policy gates apply: non‑prod auto‑merge, prod requires comment approvals
• 6. GitOps operator syncs resources to cluster
• 7. Automation updates issue with endpoints and closes it

Доказательства

At first, teams submitted tickets. A platform engineer reviewed the ticket, wrote Infrastructure as Code by hand, opened a pull request, and ran the deployment.

Источник

To solve this, we built a self‑service IssueOps and GitOps onboarding engine.

Источник

Developers get an environment in minutes without waiting in ticketing queues, and platform engineers focus on building core platform capabilities instead of manually provisioning cloud resources.

Источник