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0.18.10

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@peterschmidt85 peterschmidt85 released this 13 Aug 13:29
· 268 commits to master since this release

Control plane UI

As a user, you most likely access dstack using its CLI. At the same time, the dstack server hosts a control plane that offers a wide range of functionality. It orchestrates cloud infrastructure, manages the state of resources, checks access, and much more.

Previously, managing projects and users was only possible via the API. The latest dstack update introduces a full-fledged web-based user interface, which you can now access on the same port where the server is hosted.

The user interface allows you to configure projects, users, their permissions, manage resources and workloads, and much more.
To learn more about how to manage projects, users, and their permissions, check out the Projects page.

Environment variables interpolation

Previously, it wasn't possible to use environment variables to configure credentials for a private Docker registry. With this update, you can now use the following interpolation syntax to avoid hardcoding credentials in the configuration.

type: dev-environment
name: train

env:
  - DOCKER_USER
  - DOCKER_USERPASSWORD

image: dstackai/base:py3.10-0.4-cuda-12.1
registry_auth:
  username: ${{ env.DOCKER_USER }}
  password: ${{ env.DOCKER_USERPASSWORD }}

Network interfaces for port forwarding

When you run a dev environment or a task with dstack apply, it automatically forwards the remote ports to localhost. However, these ports are, by default, bound to 127.0.0.1. If you'd like to make a port available on an arbitrary host, you can now specify the host using the --host option.

For example, this command will make the port available on all network interfaces:

dstack apply --host 0.0.0.0 -f my-task.dstack.yml

Full changelog

All changes: 0.18.9...0.18.10