Plan FAQs
1. What cloud providers do you support?
We currently support Google Cloud Platform (GCP) only. AWS and Azure support are coming soon.
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2. What cloud services can I use in a pipeline?
You can choose from cloud-native data and AI services like Cloud Storage, Dataflow, BigQuery, Vertex AI, Cloud Functions, and more — depending on your tier.
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3. Do I need to know Terraform or YAML to use Navera?
No. Navera handles all infrastructure-as-code for you. You define your pipeline — we generate and manage the Terraform and YAML behind the scenes.
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4. Does Navera deploy the actual infrastructure in my cloud account?
Yes. Navera uses your credentials to deploy infrastructure directly into your own cloud account — securely and with best practices.
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5. Is my infrastructure portable if I stop using Navera?
Yes. Navera generates Terraform-based infrastructure, so you can export configurations and continue managing them independently if needed.
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6. Can I collaborate with my team?
Team collaboration is available on the Business tier. You can manage users, assign roles, and track shared usage.
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7. What does “x pipelines/day · y hours each” mean in the Sandbox feature?
Each tier includes access to a sandbox environment — a safe space to run pipelines without connecting your own GCP account.
“x pipelines/day” is the number of test runs you can execute per day, and “y hours each” is the maximum runtime for each pipeline. For example, “2 pipelines/day · 1 hour each” means you can run 2 separate pipelines per day, each lasting up to 1 hour in the sandbox.
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8. What is a Deployment Operation?
A Deployment Operation is a single infrastructure action performed by Navera on your behalf, whether initiated from the Navera dashboard or through an AI coding agent using our MCP server.
Examples include designing infrastructure, deploying applications, updating deployments, generating cost estimates, checking deployment costs, and verifying deployment health.