Initially developed by Datawire, Telepresence is a new open-source tool supported by the CNCF (Cloud Native Computing Foundation). It allows developers to run local software while connected to a remote Kubernetes cluster. The application uses a two-way network proxy to simulate TCP connections, environmental variables, and other volumes of services as local processes. This link allows for remote work to be accomplished while seemingly local to the cluster via the proxied connection.
Django is a Python-based web framework that is used for developing complex, database-driven websites. It also operated under an open-source license indicating it is free to use. Django is ultra-fast and encourages security, and it is exceptionally adaptable, which is the cause of its immense popularity.
Containers are the future of application development and hosting. They enable DevOps, developers, and system administrators to build, test, deploy, and maintain applications quickly, securely, and efficiently. Tools built around the containerization concept provide simple solutions for basic web applications. These advanced granular configuration options provide the control many enterprise applications may need.
K3s is an official Cloud Native Computing Foundation sandbox project that brings a lightweight, fully compliant Kubernetes distribution designed for lower resource production models like remote locations or on an IoT device. When used in conjunction with Rancher, K3s can easily be managed from within the Rancher orchestration platform.
In this article, we will explore the newest methods to install or update to the latest version of Python on our Ubuntu system.
What is Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It’s high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development and use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
In this article, we review what Kubernetes and Kubeadm are, how to install, create a cluster, and set up worker nodes using Kubeadm. If you are not yet familiar with Kubernetes, we recommend reading our article on the fundamental basics of Kubernetes.
This article will demonstrate how to install and configure Minikube to set up a small Kubernetes cluster. We will then examine Kubernetes in more detail to apply that knowledge to a real-world example.
“A No-code development platform allows programmers and non-programmers to create application software through graphical user interfaces and configuration instead of traditional computer programming1.” Various software tools and applications are being used all around us each day. You might be asking yourself, “How do they do it?”.
Kubernetes (or K8s) is an open-source container orchestration system for automating computer application deployment, scaling, and management. Kubernetes manages and runs Docker containers on numerous hosts. The project was started by Google and is supported by many companies, including Microsoft, RedHat, IBM.
K3s is a lightweight version of Kubernetes. It is a highly available Kubernetes certified distribution designed for production workloads in unattended, limited resource, remote locations, or inside an IoT appliance. The developers of K3s declare that K3s is capable of almost everything that K8s can do.