Docker Blog
-
Guest Post: Calling the Docker CLI from Python with Python-on-whales
This post highlights a new project built by Gabriel de Marmiesse from the Docker community: Python-on-whales. The goal of this project is to have a 1-to-1 mapping between the Docker CLI and the Python library.
Read now
-
Desktop Support for iTerm2 – A Feature Request from the Docker Public Roadmap
The latest Docker Desktop release includes support for iTerm2 which is a terminal emulator that is highly popular with macOS fans. This feature request to support additional terminals started from the Docker public roadmap.
Read now
-
How to Use Your Own Registry
In this article we’ll take a look at setting up and configuring a local instance of the Distribution project where your teams can share images with docker commands they already know: docker push and docker pull.
Read now
-
Captains Take 5 – Nick Janetakis
“Docker Captains Take 5” is a regular blog series where we get a closer look at our Captains and ask them the same broad set of questions. Today, we’re interviewing Nick Janetakis who has been a Docker Captain since 2016.
Read now
-
Compiling Qt with Docker Using Caching
In a previous guest post, we talked about how we compile Qt for Screenly OSE using Docker’s nifty multi-stage and multi-platform features. In this article, we build on this topic further and zoom in on caching.
Read now
-
New Docker Desktop Preview for Apple M1 Released
We have released another preview of Docker Desktop for Apple M1 chips, which you can download from our Docker Apple M1 Tech Preview page. The most exciting change in this version is that Kubernetes now works.
Read now
-
How to Deploy GPU-Accelerated Applications on Amazon ECS with Docker Compose
Many applications can take advantage of GPU acceleration, in particular resource intensive Machine Learning (ML) applications. The development time of such applications may vary based on the hardware of the machine we use for development. Containerization will facilitate development due to reproducibility, and will make the setup easily transferable to other machines. Most importantly, a containerized application is easily deployable to platforms such as Amazon ECS, where it can take advantage of different hardware configurations.
Read now
-
How Developers Can Get Started with Python and Docker
To that end, we are excited to announce that we are releasing a series of programming language-specific guides to help developers go from discovering the basics of Docker to delivering your images into a production environment and more.
Read now