Droplets

DigitalOcean Droplets are Linux-based virtual machines (VMs) that run on top of virtualized hardware. Each Droplet you create is a new server you can use, either standalone or as part of a larger, cloud-based infrastructure.

Quickstart

Just the essentials to go from zero to working in a few minutes.

How-Tos

How to accomplish specific tasks in detail, like creation/deletion, configuration, and management.

Tutorials

Step-by-step instructions for common use cases and third-party software integration.

Reference

Resources on native tools for working with Droplets, troubleshooting, and Droplet metadata.

Concepts

Explanations and definitions of core concepts in Droplet.

Details

Features, plans and pricing, availability, limits, known issues, and more.

Support

Get help with technical support and answers to frequently asked questions.

Latest Updates

20 September 2022

• When you create a Droplet using the API (POST /v2/droplets), you can now specify a region (like NYC) instead of a specific datacenter (like NYC3). The API then creates your Droplet in any available datacenter within your specified region. For example, if you want to create a Droplet in San Francisco, you can use the region sfo to guarantee that the Droplet will be in SFO1, SFO2, or SFO3. Additionally, you can omit the region entirely (or set it to an empty string) to create a Droplet in any available region.

18 August 2022

• A new CPU-Optimized Droplet plan with more computing power is now available. This plan features 48 vCPUs (up from the previous maximum of 32) and 96 GB of memory (up from the previous maximum of 64).

  This large CPU-Optimized Droplet plan is available where CPU-Optimized Droplets are already available, except for BLR1 and SFO2.

  You can use this plan for both standalone Droplets and Kubernetes nodes. You can also resize your existing Droplets to this node plan.

12 July 2022

• The DigitalOcean API now supports listing Droplets by name by using the name query parameter, as in GET /v2/droplets?name="your_droplet_name". Learn more in the API documentation.

For more information, see all Droplets release notes.