Today, DevOps teams try to utilize automation as much as possible. This is to cut down on the sheer number of repeatable processes to limit man-hours worked, throttle development efforts, and to reduce the possibility of errors. This is also a business necessity to reduce overhead costs, increase the speed of the CI/CD process and increase customer satisfaction. There are multiple individual areas that need to be automated to have a fully autonomous infrastructure. Luckily, there are various tools we can take advantage of to help us automate our infrastructure and make sure we have well-developed DevOps processes. In this article we will go over the several of the best DevOps tools for our infrastructure systems.
Before we begin, let’s describe what Docker is. Docker is a set of virtualization tools that allows us to create, test, and deploy containerized applications quickly and easily. It has become very popular and used almost everywhere in our daily lives. Thanks to containerization, we can quickly launch applications on different platforms utilizing small bundles which contain all the needed packages, libraries and configuration file to run an application. These docker packages communicate via established network channels.
Chef is a popular, open-source, IaC (Infrastructure as Code) management tool. It eases administration, configuration, and deployment of server resources across a network from a central location.
What is IaC?
IaC (or Infrastructure as code) is the procedure of provisioning, coordinating, and controlling servers via machine-readable files, that are defined in commonly reused records called cookbooks rather than physical hardware configuration or interactive configuration tools.
In this tutorial, we are going to walk through how to install scikit-learn on an Ubuntu 18.04 server. We are going to walk through the installation both in a virtual environment with the Python package manager, Pip, and via Anaconda.
Ansible is an IT automation tool intended to facilitate the management of remote servers. Ansible requires Python (version 2.7 or 3.5 and higher) to run. Ansible is run from a centralized control node and can manage any server accessible over SSH. Remote servers that are managed by Ansible are called managed nodes.
By default, Ansible communicates with managed nodes using OpenSSH. SSH is not the only communication mechanism Ansible supports. You can run tasks on the control server locally, in a docker container or even a Windows server. The control node will require Linux to run.