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Showing posts from March, 2021

SSH

  SSH   SSH (Secure Shell)  -  It is a network protocol used for performing operation on network services securely over a less secured network like internet. It provides a channel which is secured for  remote log in to any system . Any service on the network can be made secure by SSH. It provides a better option for  authentication  by implementing  strong   encryption  of data. Over a  client-server architecture  the SSH provides a secure channel from the client application to the server computer. SSH  stands for  Secure Shell . A  shell  is a piece of software that allows you to communicate with the core of your operating system. This is typically done via a  command   line interface. You don’t need to be at a computer to access a shell. A  shell account  is a personal account that lets you access a shell from a different computer. These used to be commonplace, used to access files, ema...

Practical Python Projects Book - Yasoob Khalid

 

Openshift vs AWS vs Kubernetes

  OpenShift is a cloud as a help (PaaS) improvement stage created by Red Hat. It is an open-source improvement stage, which permits engineers to create and send their applications on a cloud framework. It is valuable for creating cloud administrations. OpenShift Container Platform is a product that you can install on your infrastructure and that includes paid support provided with a subscription.  In this model, Docker assists in creating lightweight Linux-based containers, and Kubernetes takes on the task of orchestrating and managing containers on multiple hosts. OpenShift is the RedHat as a service (PaaS) cloud development platform.  AWS would provide the infrastructure(compute, storage, private network) to host any OpenShift like kubernetes platform. Here, you can think of AWS as a infrastructure-as-a-service provider on the other hand OpenShift as a cloud-native platform let's you host, build, deploy, monitor and scale the applications on the fly. Think of Kubernetes...

Matplotlib

 https://atmamani.github.io/cheatsheets/matplotlib/matplotlib_2/