In this video we cover customizing Resourcely blueprints and guardrails for GCP, integrated with GitLab. Ops, platform, and security teams can customize blueprints and guardrails that meet their organization's requirements. In this case, we are creating a deployment experience for machine learning workloads that require GPUs.
Cloud guardrails reduce improper Terraform from shipping, stopping incidents in their tracks and proactively securing infrastructure.
Developers can use blueprints as templates for deploying, saving time and stopping rework associated with misconfiguration.
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