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# Mastra platform

The [Mastra platform](https://projects.mastra.ai) provides three products for deploying, monitoring, and managing AI applications built with the Mastra framework:

- [**Observability**](https://mastra.ai/docs/mastra-platform/observability): The baseline product for every platform project, with searchable traces, logs, and metrics across Mastra projects and deploys
- [**Studio**](https://mastra.ai/docs/mastra-platform/studio): A hosted visual environment for testing agents and running workflows, with tools for inspecting traces. Starting with Studio also gives you Observability.
- [**Server**](https://mastra.ai/docs/mastra-platform/server): A production deployment target that runs your Mastra application as an API server. Starting with Server also gives you Observability.

Deploy with a single command, [`mastra deploy`](https://mastra.ai/docs/mastra-platform/deploy), or connect a GitHub repository for push-to-deploy. See the [GitHub integration](https://mastra.ai/docs/mastra-platform/github) for the repository-linked flow.

Each project can run multiple [**Environments**](https://mastra.ai/docs/mastra-platform/environments) (for example `production` and `staging`), provision [**Hosted databases**](https://mastra.ai/docs/mastra-platform/database) from the CLI or project settings to persist application data, and get a managed [**Workspaces**](https://mastra.ai/docs/mastra-platform/workspaces) per environment that gives agents a filesystem and a sandbox with no manual configuration.

[**Trace Intelligence**](https://mastra.ai/docs/mastra-platform/trace-intelligence) finds recurring goals, outcomes, behaviors, and sentiment across your agent traces. Trace Intelligence is available in private beta for selected projects.

## Get started

Choose the path that matches what you want to do:

- **Add hosted observability**: Use [Observability](https://mastra.ai/docs/mastra-platform/observability) to collect searchable traces, logs, and metrics across projects and deploys. Start here if you want monitoring without deploying Studio or Server first.
- **Deploy Studio**: Use [Studio](https://mastra.ai/docs/mastra-platform/studio) to host the visual development environment for your team. Start here if you want a shared UI for testing agents, running workflows, and inspecting traces.
- **Deploy Server**: Use [Server](https://mastra.ai/docs/mastra-platform/server) to run your Mastra application as a production API server. Start here when you’re ready to serve agents, tools, and workflows from the cloud.

## Key concepts

**Projects** are the shared parent entity across all products. A single project can include every product: Observability, Studio, and Server. Projects belong to an **Organization**, which is the multi-tenant container for your team.

Your Mastra application is built from three building blocks:

- [Agents](https://mastra.ai/docs/agents/overview): AI agents that can use tools, follow instructions, and maintain context
- [Tools](https://mastra.ai/docs/agents/using-tools): Callable functions and integrations available to your agents
- [Workflows](https://mastra.ai/docs/workflows/overview): Multi-step orchestration pipelines that coordinate agents and tools

## Going to production

Develop your project locally with [`mastra dev`](https://mastra.ai/reference/cli/mastra) and open [Studio](https://mastra.ai/docs/studio/overview) to test your agents, workflows, and tools in a visual environment.

Once you're ready to deploy your application to production, run [`mastra deploy`](https://mastra.ai/reference/cli/mastra) to push your application to the cloud.

Follow the [Deploy](https://mastra.ai/docs/mastra-platform/deploy) docs for step-by-step instructions.

If you host your Mastra application on your own infrastructure, you can still send observability data to Mastra platform using the [MastraPlatformExporter](https://mastra.ai/docs/observability/integrations/exporters/mastra-platform).