SaltStack is an open-source infrastructure management platform built on a dynamic communications bus. The main structure of SaltStack contains two main components for work: one Salt Master and several Salt Minions. Salt Master is the main control system used to send commands to Salt Minion and their configuration. Salt Minions (they are also called Nodes) are subsystems that work on managed servers and receive commands from the master, as well as their configuration. At least two servers are required for interaction settings. One for the Master and one for the node. All nodes are configured in the same way.
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.
Today we will demonstrate how to install Envoy Proxy on Ubuntu.
Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and “universal data plane” designed for large microservice “service mesh” architectures. Built on the learnings of solutions such as NGINX, HAProxy, hardware load balancers, and cloud load balancers, Envoy runs alongside every application and abstracts the network by providing common features in a platform-agnostic manner.
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.
In this tutorial, we are going to set up TensorFlow in a virtual Python environment on Ubuntu 18.04. TensorFlow is an open-source framework, developed by the Google Brain team, designed to be a high-level interface for implementing machine learning and mathematical operations. This library provides developers an avenue to work on complex projects like neural networks through an easy to use Python API. One of the significant benefits of having a Python front-end is that it is portable between operating systems like Linux and Windows.
Whether you’re a beginner or a professional, TensorFlow is an end-to-end platform that makes building and deploying Machine Learning models a snap! Because TensorFlow is based on the Python system, you can install it on multiple operating systems, including Windows. This article will take you through the necessary steps to get TensorFlow installed on your Windows server.
In this guide, we will compare Serverless Computing versus Function As A Service (FaaS). We will be discussing some of the similarities as well as some of the differences between the two options.
In the early 2000s, when building a web application or service, a full team was needed to develop, deploy, configure, and maintain the software. Many companies performed all of these tasks in house. The decisions they often faced included: