Our suite of compute products lets you create the infrastructure you want, whether you want to build applications by managing your own infrastructure with Droplets, implement modern container-based methodology with Kubernetes, use a fully-managed Platform-as-a-Service (PaaS) environment with App Platform, or go serverless with DigitalOcean Functions.
Starting 1 July 2022, some of our pricing is changing. These changes will go into effect for the July bill which customers will receive in the 1 August invoice.
We are introducing a new $4 Droplet with 512MB memory, 10GB SSD Disk, 1 vCPU and 500GB of outbound data transfer.
We are simplifying pricing for DigitalOcean Kubernetes and some Managed Databases for better accuracy and predictibility.
Droplets, Snapshots, Load Balancers, Floating IPs, and Custom Images are increasing in price.
There is no change to pricing for Spaces, backups, volumes, DigitalOcean Container Registry, or App Platform. There are also no changes to inbound data transfer or bandwidth pricing.
This is our first major price change in 10 years, and we believe the new model better fits our understanding of our customers and the expanded breadth of our offerings. For a more detailed breakdown of the changes, see our blog post on our new pricing.
DigitalOcean Functions and functions components in App Platform are now in general availability.
Functions are blocks of code that run on demand in response to requests. DigitalOcean Functions let developers execute their code on DigitalOcean without managing compute resources like Droplets or Kubernetes clusters.
An opt-in beta of build performance improvements has been added. This functionality leverages kata-containers technology for improved speed, efficiency, and compatibility. See How to Enable Performance Improvements Beta for more information.
Ubuntu 22.04 LTS (ubuntu-22-04-x64
) base image is now available in the control panel and via the API.
We have updated the default version of Python in the Python buildpack has been updated from 3.9.9 to 3.10.4. You can configure the Python version used at runtime by specifying a runtime.txt
file at the root of your source code. For more information and configuration options, see the Python Dev Guide.
For more information, see the full release notes.