How Drizzle:AI Integrates with Google Cloud Platform (GCP)

Drizzle uses a best-practice, automated approach to build your entire AI platform within a dedicated GCP Project. We leverage Terraform to define your whole environment as code, creating a secure, repeatable, and production-ready ecosystem from day one. This isn’t just about spinning up servers; it’s about deploying a complete, customized AI platform that follows the Google Cloud Architecture Framework.

Key Features of the Integration

  • Dedicated & Secure Environments: We deploy your platform into a dedicated GCP Project and a new, secure Virtual Private Cloud (VPC), providing maximum isolation and security for your workloads.
  • Automated Infrastructure with Terraform: Your entire GCP environment is defined as code, ensuring a predictable and fully automated deployment process. This allows for rapid changes and disaster recovery.
  • Customized Cloud Resources: We provision all necessary resources based on your project’s needs, including Google Cloud Storage for object storage, Google Cloud Filestore for shared file systems, and Google Cloud SQL (MySQL/PostgreSQL) for structured data.
  • Integrated Container & Network Workflow: We automate the entire process, using Google Artifact Registry for storing your container images, Cloud DNS for DNS management, and Google-managed SSL certificates for seamless TLS encryption.

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Google Cloud Platform (GCP)

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Harness Google Cloud's powerful infrastructure with Drizzle's automated accelerator for deploying secure, scalable, and production-ready AI workloads.

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