In this tutorial, we will be reviewing what the fundamental similarities and distinctions are between Kubernetes and Docker Swarm. Kubernetes and Docker are two of the major players in container orchestration. Both Kubernetes and Docker Swarm continue to grow in popularity as they are increasingly used by those working with container deployment, orchestration, and management. Across all vertical markets, businesses continue to find new methods of utilization and practice with more uses constantly being discovered.
The arrival of containerized software has drastically changed the landscape of web hosting, and web application provides. The simplification and speed that comes with containers make deploying services like websites so efficient that the traditional model of dedicated servers running specific web-based software is almost obsolete. This being said, there will always be a place for virtual server projects and dedicated servers handling specific tasks like HIPAA compliant hosting services.
In this tutorial, we are going to take a look at how to get started with TensorFlow on CentOS. We will be covering two methods. First, we will take a look at installing TensorFlow in a Python virtual environment via the Python package manager pip. After that, we will walk through installing TensorFlow via the Anaconda package manager. Finally, we will cover building a TensorFlow pip package from source.
In our previous article on Selenium, we touched on the tools that the software provides for testing web applications. In this article, we will review the installation of these tools and some basic tests that can be run using the following tools.
We will go through each of the Selenium tools in the order that is listed below. So let’s begin by installing Selenium IDE. After this, we will cover the basic usage of each of the tools.
In this tutorial, we are going to cover how to set up a Python virtual environment on CentOS. A Python virtual environment makes it possible to install Python packages into a discreet Python ecosystem that is entirely separate from your system’s default Python framework. This means that you do not have to worry about overwriting the installation of any current packages that might be defaulted to the existing version of Python on your system.
Selenium is a suite of open-source testing tools for web apps that can be utilized across multiple platforms and browsers. Selenium is comprised of four different tools, each providing a different testing capability.
Have you ever wondered how Python web applications work on an Apache or NGINX web server? The answer is WSGI or Web Server Gateway Interface.
Python is rapidly gaining in popularity for various web applications and software options. WSGI is one of the numerous powerful frameworks that are enabling this forward-looking acceptance. You may be new to Python web applications and wondering how this type of application is deployed in a production environment or you may have already used this type of framework previously, but want to know more about what WSGI is.
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:
Reading Time: 2minutesFunctionality for Python web applications can lead to increased profitability as a result of a broader offering of technologies to any current or future customers.
The Python Selector in cPanel on CloudLinux allows multiple versions of Python to run on a per-application basis. The versions of Python available to the selector is dependant on the installed Python versions. The steps below will outline installing all of the currently available versions of Python.