In this video on Docker vs VM, we will be discussing about what is virtual machine, what is Docker, Docker vs VM and a real life example of BBC using Docker. A virtual machine (VM) is an isolated computing environment or software that allows a user to access an operating system via a physical machine. and Docker is OS-level virtualization that uses a software platform to help users to develop, deploy, monitor and run applications in a Docker Container with all their dependencies.
Below are the topics that we will be discussing in the video today:
When I just started developing PHP applications I used Mamp or Xamp to set up a local Lamp stack. Later this became Vagrant in combination with VirtualBox and eventually Docker.
The main advantage of Docker is portability, performance and it is scalable. This pays off, especially when you work in a team.
When using commerce with Magento 2 it is possible to use the Magento Cloud Docker environment.
You may already have some experience with Docker, but it might help as a mnemonic. If this is completely new to you, it is good to read the following.
The main difference between Docker and a VM is mainly the architecture between the two. A VM is a computer software that mimics a real computer. For this he uses a hypervision — also called a “guest machine”.
A hypervision can be a piece of software, firmware or hardware that the VM runs on. The hypervison itself runs on a real computer, this is called the “host machine”.
The hypervison has a complete virtualization stack, such as network adapters, storage and CPU with its own operating system to run programs.
Containers and VM are similar, but the main difference between containers and a VM is that containers use the host computer kernel, which in turn shares it with other containers.
A container does not need a complete virtualization stack and its own os to run programs.
#linux #docker #devops-docker #magento-2 #magento-development #virtual-machine #what-is-a-virtual-machine #docker-php-composer
Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub
In this video lesson you will learn:
#docker #docker hub #docker host #docker engine #docker architecture #api
Nowadays, companies are looking for Docker & Kubernetes Administrators. Candidates with hands-on experience on Docker often land up in highly paid jobs.
The Difference between Docker vs Virtual machine you should understand before start leaning Docker and Kubernetes.
The Difference between Docker vs Virtual machine you should understand before start learning Docker and Kubernetes.
#docker #kubernetes #virtual machine #cloudcareer #dockercontainer #dockeroverview
Kubectl is a command-line tool for Kubernetes. It allows us to execute Kubernetes operations via the API. We can use Kubectl to deploy apps, check logs as well as manage all the other resources of the cluster.
Kubernetes uses an HTTP-based REST API which is the actual Kubernetes user interface employed to manage it. This means that every Kubernetes operation is represented as an API endpoint and can be carried out based on an HTTP-request sent to the endpoint.
In this article, we will review Kubectl, and outline its installation, configuration, and use.
The name Kubernetes has its origins from the original Greek term for helmsman or pilot. Kubernetes, or ‘k8s’ (pronounced “Kate’s”) is an open-source software tool that was created by Google and is used for scaling, deploying and coordinating containerized applications into easy to manage groups. It supports multiple containerization technologies as well as orchestrates hardware virtualization.
To manage a Kubernetes server cluster effectively, we utilize kubectl as the command-line tool of choice. Basically, kubectl communicates with the master Kubernetes node(s) which in turn submits commands to the worker nodes to manage the cluster. A Kubernetes cluster basically consists of two types of resources.
Each node contains a Kubelet, which is the agent for managing the node and communicating with the master. We can use kubectl to deploy, explore, review and remove Kubernetes objects (like nodes, images or containers).
Initially, Kubernetes was designed and developed by Google engineers to employ and utilize containers for its workload management. Google generates more than 2 billion containers deployments a week which was provided for by their internal platform code-named Borg (the predecessor to Kubernetes). During Borg’s development, the experience gained was one of the main factors that influenced a significant part of Kubernetes current technologies. Currently, Kubernetes is maintained by the Cloud Native Computing Foundation.
The easiest way to install kubectl is to use one of the default package managers for a Linux OS.
sudo apt-get update && sudo apt-get install -y apt-transport-https gnupg2 curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add - echo "deb https://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee -a /etc/apt/sources.list.d/kubernetes.list sudo apt-get update sudo apt-get install -y kubectl
#tutorials #choco #cluster #debian #docker #hyper-v #hyperkit #hypervisor #kubectl #kubernetes #mac #ubuntu #virtual box #virtual environment #virtual machines #virtualized #vm #vm driver #vt-x #windows 10 #windows 8
Conversational AI has seen an exponential rise in popularity in the last decade and has become mainstream over the past two years. Enterprise adoption of Conversational AI is accelerating. Businesses are investing millions of dollars for conversational AI applications with massive expectations to improve customer experience and operational efficiencies.
Gartner_ says – “By 2022, 70% of white-collar workers will interact with conversational platforms on a daily basis.”_
Chatbots and Virtual Assistants are leveraging AI technologies to provide innovative and efficient solutions benefiting customers, employees, and partners. In this scenario, it is crucial to understand the fundamental differences between a Chatbot and a more sophisticated solution like a Virtual assistant.
Businesses and professionals who are planning or implementing a conversational AI solution should know this difference to reap benefits from these technologies. Without such proper understanding, there will be a high chance of failure to meet the expectations.
#chatbots-vs-virtual-assistants #chatbots #virtual-assistant #intellugent-virtual-assistant #chatbot-and-virtual-assistant #ai-chatbot #chatbot-development #use-cases-of-chatbots