Information about the DigitalOcean platform, like billing details, release notes, product availability by datacenter, support plans, and account details.
DigitalOcean Docs
Learn how to build, deploy, and scale your applications with DigitalOcean. Explore our products with our documentation's technical walkthroughs, example code, reference information for our APIs, CLI, and client libraries, and more.
Get Started
Information on DigitalOcean product features, pricing, availability, and limits; how to use products from the control panel; how to manage your account, teams, and billing; and platform details, release notes, and product policies.
Manage resources programmatically and integrate across the developer ecosystem with CLIs, APIs, and SDKs.
Looking for technical support with your DigitalOcean account or infrastructure? Start here.
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Product Genre
Build your application the way you want with our suite of compute products including VMs, managed containers, PaaS, and serverless functions.
Build, train, and deploy AI agents with the DigitalOcean Gradient™ AI Agentic Cloud.
Store and access any amount of data reliably in the cloud, with S3-compatible Spaces Object Storage, network-based Volumes block storage, or NFS-based Network File Storage.
Create backups, upload custom images, use preconfigured images to create resources, and store Docker images in a private registry.
Run fully managed database clusters running your choice of database engine and avoid manual setup and maintenance.
Secure and control the traffic to your applications with VPC networking, traffic filtering, and load balancing.
Track the health of your infrastructure, URLs, and more, set alerts to stay informed, and organize your resources with projects.
Teams are how you manage your billing and infrastructure on DigitalOcean. You can work by yourself by remaining the only person on your team or collaborate by adding more people to teams you own.
Developer Tools
Manage your DigitalOcean resources from the command line with doctl, our open-source command line interface (CLI).
Programmatically manage your Droplets, Spaces, and other DigitalOcean resources using conventional HTTP requests. Use RESTful APIs to programmatically manage Droplets, Spaces, and other DigitalOcean resources.
Interact with Paperspace resources programmatically using the Paperspace API or CLI, and find documentation for legacy tools.
Automate DigitalOcean infrastrucuture and configuration management using the open source Ansible framework.
Deploy and change many resources simultaneously using the open source Terraform tool.
PyDo is DigitalOcean’s official Python client library based on DigitalOcean’s OpenAPIv3 specification.
This is a list of official and community-created client libraries that let you use the DigitalOcean’s APIs in a variety of programming languages.
We use and contribute to open source software.
Use MCP servers to manage DigitalOcean services from any MCP-compatible client.
Latest Updates
Upcoming Changes
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App Platform’s XL build resources (8 CPUs and 20 GiB of memory during builds) are now enabled for all apps by default. The
xl-buildflag is now deprecated and will be removed in a future release. Removexl-buildfrom your app spec to avoid potential errors once the flag is fully retired. -
DigitalOcean Managed Caching is being discontinued on 30 June 2025.
To replace Managed Caching, we are offering Managed Valkey, a Redis-compatible alternative with RDMA and higher throughput. All existing Managed Caching clusters automatically convert to Valkey clusters by 30 June 2025 during your upgrade window, retaining all data.
19 February 2026
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OpenAI and Anthropic commercial models now default to using DigitalOcean API keys when creating new agents. This allows you to have consolidated billing for all agent usage and no keys to manage on your own. If you want, you can bring your own keys when creating new agents or continue using your own keys for existing agents. For more information on pricing, see the pricing details.
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We have deprecated the following Anthropic models from DigitalOcean Gradient™ AI Platform:
Deprecation indicates that a model has reached end-of-life and is no longer accessible. API or CLI requests to the model return
model not found, and restoration is not possible. Users must migrate to a supported Active model prior to the retirement date to prevent service disruption.
18 February 2026
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AMD Instinct MI350X GPUs are now available in ATL1 by contract only in 1- and 8-GPU configurations for single- and multi-node GPU Droplets. To create GPU Droplets with MI350X GPUs, contact sales. Learn more about GPU Droplet plans.
17 February 2026
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The following Anthropic model is now available on DigitalOcean Gradient™ AI Platform for serverless inference, Agent Development Kit, and creating agents:
For more information, see the Available Models page.
For more, see our full release notes.