Lightweight, interpreted, object-oriented language with first-class functions
It is a simple but extremely powerful set of CLI commands for managing resources on Amazon Web Services. They harness the power of Amazon's AWSCLI, while abstracting away verbosity. The project implements some innovative patterns but (arguably) remains simple, beautiful and readable. | Run popular command-line tools within docker. It works on Linux, MacOS, and Windows (CMD, Powershell, Git Bash). You can quickly try out command line tools without the effort of downloading and installing them. |
Short, Memorable Commands; Shell Command Completion; Unix Pipeline Friendly (instead of JSON);
Convenient Shortcuts | Dockerized apps can access the current directory and read/modify files, just like native apps;
No need to know which docker image this package comes from;
Support for tools that don't have an official docker image;
Container cleaned up after use;
Ability to specify the version;
Version specification per directory |
Statistics | |
GitHub Stars - | GitHub Stars 1.3K |
GitHub Forks - | GitHub Forks 36 |
Stacks 55 | Stacks 13 |
Followers 11 | Followers 20 |
Votes 0 | Votes 0 |
Integrations | |

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Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

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Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

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Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.