Containerized Applications and Deploy Simple Application on Docker

If you are a software engineer, you must know where your application is deployed. A few years back, web applications were deployed on dedicated physical servers. The evolution of application deployment can be considered as three generations. Let’s explore it for your knowledge.

Generation 1 — Dedicated Physical Servers

Earlier days, the application was deployed in a dedicated physical server. You may think that nowadays also deployed on physical servers. But it was a different story. For example, if your application needs to have different servers like the application server, database server, mail server, and web server, you must have four different hardware boxes (physical servers) to deploy this application.

There are many disadvantages of these servers.

  • Space for servers (Server room)
  • Maintenance cost (air-conditioned room, security, service)
  • Separate network
  • Operation systems
  • Resources waste (servers are not used 100% of processing power/ memory)

#containers #docker #containerized applications #deploy simple application

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Containerized Applications and Deploy Simple Application on Docker

Containerized Applications and Deploy Simple Application on Docker

If you are a software engineer, you must know where your application is deployed. A few years back, web applications were deployed on dedicated physical servers. The evolution of application deployment can be considered as three generations. Let’s explore it for your knowledge.

Generation 1 — Dedicated Physical Servers

Earlier days, the application was deployed in a dedicated physical server. You may think that nowadays also deployed on physical servers. But it was a different story. For example, if your application needs to have different servers like the application server, database server, mail server, and web server, you must have four different hardware boxes (physical servers) to deploy this application.

There are many disadvantages of these servers.

  • Space for servers (Server room)
  • Maintenance cost (air-conditioned room, security, service)
  • Separate network
  • Operation systems
  • Resources waste (servers are not used 100% of processing power/ memory)

#containers #docker #containerized applications #deploy simple application

Iliana  Welch

Iliana Welch

1595249460

Docker Explained: Docker Architecture | Docker Registries

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:

  • What is Docker Host
  • What is Docker Engine
  • Learn about Docker Architecture
  • Learn about Docker client and Docker Daemon
  • Docker Hub and Registries
  • Simple demo to understand using images from registries

#docker #docker hub #docker host #docker engine #docker architecture #api

Hayden Slater

1602671940

Dockerizing Mule Application

This article contains the step by step information on how to Dockerize MuleSoft Application. Here we will create a Docker image containing Mule Standalone server 3.9.4. As soon as our image is built, we will run the container to start the application.

As we can see in the Dockerfile, we have picked centos as our base image and installing the JDK 1.8, Maven, and Mule Standalone runtime on it. Once the environment setup is done then it’s copying the application zip file into the apps folder of Mule_HOME.

#mule #docker application #dockerization #docker

Paris  Turcotte

Paris Turcotte

1618003500

How to Deploy AI models ? Deploying Web-application on Heroku via Docker

This Part is the continuation of the Deploying AI models Part-3 , where we deployed Iris classification model using Decision Tree Classifier. You can skip the training part if you have read the Part-3 of this series. In this article, we will use Flask as the front end to our web application to deploy the trained model for classification on Heroku platform with the help of docker.

Note: If you have followed my Model Deployement series from starting you can skip the section 1.

A_rticle: _Deploying AI models Part-3

1.Iris Model Web application using Flask.

1.1. Packages

The following packages were used to create the application.

1.1.1. Numpy

1.1.2. Flask, Request, render_template from flask

  1. 1.3. Dataset, Ensemble, Model Selection from sklearn

1.2. Dataset

The dataset is used to train the model is of iris dataset composed of 4 predictors and 3 target variable i.e. Classes

Predictors: Sepal Length, Sepal Width, Petal Length, Petal Width

_Target _: Setosa [0], Versicolor[1], Verginica[2]

Dataset Shape: 150 * 5

#docker-image #artificial-intelligence #deployment #machine-learning #docker

August  Murray

August Murray

1615016400

Docker: Installing Docker and Understanding basic docker commands

Now since we have understood the basic architecture of Docker in my previous tutorial titled Docker: Understanding Docker Architecture and Components, lets now learn how to install Docker and run some basic commands.

Pre-requisites

  1. For our demonstration, we will be using centos-07.
  2. We will be using 1 machine for our lab with the below IP details:

192.168.33.61 docker.unixlab.com

3. The memory should be at least 2 GB and there should be at least 2 core CPU.

Understanding Basic docker commands:

The First thing we are going to do is to run the **“docker run hello-world” **command.

This command tries to find the “hello-world” image locally and if not found, it then downloads an image from the docker hub and runs the container out of this image.

#automation #containerization #docker-container #docker #docker-image