Run Workspaces on Google Cloud Platform

Remember when setting up a development environment meant choosing between your laptop's limited resources or navigating complex cloud configurations? Those days are over.

Following our successful AWS and DigitalOcean providers, we're thrilled to announce that Daytona now supports Google Cloud Platform (GCP).

Why GCP Provider Matters

Picture this: You're working on a resource-intensive ML project that makes your laptop sound like a jet engine, or you're collaborating with a global team where everyone needs consistent, powerful environments. GCP support in Daytona transforms these scenarios from daily challenges into solved problems.

GCP Integration: Flexible Cloud Development

Whether you're already using GCP or looking to expand your cloud options, Daytona now lets you create and manage development environments directly on Google Cloud Platform compute instances.

Key Capabilities of GCP Provider

• VM Management: Create and control GCP compute instances

• Resource Control: Configure machine types, disk sizes, and zones

• Cost Optimization: Pay only for the resources you use

• Global Reach: Deploy workspaces in any GCP region

GCP Configuration Options

• Machine Types: Choose from standard to high-memory instances

• Disk Types: Select between standard and SSD persistent disks

• Zones: Pick the region closest to your team

• Custom Images: Use standard or custom VM images

Getting Started with GCP

1. Install the GCP provider using daytona provider install

2. Configure your GCP credentials

3. Set up your first GCP target

4. Start creating workspaces on Google Cloud

Simple Setup Process

1daytona provider install
2
3# Select gcp-provider from the list
4
5daytona target set
6
7# Configure your GCP-specific settings

Update to the latest version of Daytona to start using GCP for your development environments. Check our documentation for detailed setup instructions.

Stay tuned - we have more exciting features to announce in the coming days!