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The docker-compose CLI utility allows users to run commands on multiple containers at once; for example, building images, scaling containers, running containers that were stopped, and more. [30] Commands related to image manipulation, or user-interactive options, are not relevant in Docker Compose because they address one container. [31]
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.
The usage of Docker container is not necessary and even discouraged. This makes it suitable for low resource devices, as it requires only the ensmallen and Armadillo or Bandicoot depending on the type of hardware we are planning to deploy to. mlpack uses Cereal library for serialization of the models.
The term "ansible" was coined by Ursula K. Le Guin in her 1966 novel Rocannon's World, [4] and refers to fictional instantaneous communication systems.[5] [6]The Ansible tool was developed by Michael DeHaan, the author of the provisioning server application Cobbler and co-author of the Fedora Unified Network Controller (Func) framework for remote administration.
Vagrant is a source-available software product for building and maintaining portable virtual software development environments; [5] e.g., for VirtualBox, KVM, Hyper-V, Docker containers, VMware, Parallels, and AWS. It tries to simplify the software configuration management of virtualization in order to increase development productivity.
Checkmk is a software system developed in Python and C++ for IT Infrastructure monitoring. It is used for the monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.
Miscellaneous improvements: improved documentation, better testing, run/release scripts, improved packaging, Docker container for systemds, support for lambda expressions, bug fixes. Removed MapReduce compiler and runtime backend, pydml parser, Java-UDF framework, script-level debugger.