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Commands used in Dockefile - Part4

  Docker is an opensource tool used for virtualization and deliver software in the form of packages called Containers. It is one of the most important tools used in networking domain.  Dockerfile  is a template for building the image which contains commands needed to package the software. In this post, I am going to explain the commands ADD & COPY used in  Dockerfile .   ADD Command:   ADD command is used to copy files, directories or files from remote URLS to destination path in the image. The source paths can contain wildcards.   If the destination has relative path, it is relative to the Working directory of the image. Note that source path is always relative to the Docker build context.   ADD command will not support authentication. So, if there are any protected files to be added in  Dockerfile  building, use other tools like curl or  wget   Dockerfile  copying Single & Multiple files, directory using ADD inst...
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Introduction to Cloudify - Opensource Orchestration Platform

Cloudify is an opensource software cloud and NFV Orchestration product created in early 2012. It is written in Python programming language and uses OASIS TOSCA technology. It supports clouds like Azure, OpenStack, and VMware. It uses Kubernetes to support hybrid stacks, orchestrate containers.

Cloudify uses YAML a Domain Specific Language (DSL) to write configuration files which are called as blueprints in Cloudify. These blueprints define the configurations, infrastructure, metrics, middleware, application code and logs needed by the application using YAML.

Also, Cloudify has a lot of widgets and templates to access, organize and manipulate data based on the need as they build topologies and models for the application. 
Let us go through the components present in the Cloudify platform.

Cloudify Composer: 
Cloudify Composer is a tool provided by Cloudify platform to build the application using drag and drop nodes that help in building dynamic topologies. Using the Cloudify Composer, they can describe dependencies, workflow, inputs, and outputs of the application.

Cloudify Plugins: 
Cloudify plugins are used to run scripts, collect metrics, and logs in applications. It has a lot of plugins and each has its own usage. One can write their own plugins, upload to them Cloudify platform and can import in their blueprints. Some of the plugins used for Cloudify and their purpose is as below:
  • ARIA Plugin – To use TOSCA based service templates to deploy applications and services 
  • AWS and AWSSDK Plugin – To manage resources on AWS Cloud 
  • Azure Plugin – To manage resources on Azure Cloud 
  • Diamond Plugin – To install and configure the diamond agent on hosts and collect metrics 
  • Fabric Plugin – To map SSH operations or Fabric tasks in your blueprint (Fabric – A Python library to execute commands remotely over SSH) 
  • Google Cloud Plugin – To manage resources on Google Cloud 
  • Kubernetes Plugin – To define Kubernetes resources in your blueprints 
  • OpenStack Plugin – To use OpenStack based resources for deploying your applications and services 
  • Script Plugin – To map node life cycle operations and workflows to run scripts like Python, Bash that are included in the blueprint 
  • Utilities Plugin – Contains utilities that are used in extending the use of Cloudify 
  • vSphere Plugin – To use vSphere-based infrastructure for deploying your applications and services 
  • vCloud Plugin – To use vCloud-based infrastructure for deploying your applications and services 
Ways of using Cloudify: 
Cloudify platform gives a free trial for a period of 4 hours to feel the power of the platform. In this trial, it provides private OpenStack IaaS with 8 CPUs and 16GB RAM. 
Cloudify can be deployed on your system. The installation of Cloudify can be done using Docker, Virtual Machine, etc.
Let us see how the environment of Cloudify lab will look like.

Cloudify Lab Environment: 
To get the Cloudify lab for 4 hours, go to this page and click Launch Lab. A popup comes and there enter your name and email. Then you will receive a mail to launch the lab. 

 

After clicking the link given mail you will get a screen similar to the below image. Then click Start Your Lab.

Once the lab is created fully, you will get the following things: 
  • Cloudify Manager IP and its credentials 
  • VPN Portal Configuration file 
  • OpenStack IP and its credentials 
 

Using the Cloudify Manager IP and credentials, Login into the Cloudify Manager. Then you will see the dashboard like this:

 
There are a lot of sections in this dashboard. Let us go through what is the purpose of each section in Cloudify Manager.

Cloudify Catalog: 
It is the place where the plugins of Cloudify will be present and can be installed in the lab environment.

 

Local Blueprints: 
It is the section in Cloudify lab where the blueprints to be deployed are uploaded.

Deployments: 
It is the section of the Cloudify lab where the blueprints are deployed and installed.













Statistics: 
Statistics is the place where the deployments in the Cloudify can be monitored. It has a lot of metrics that can be captured.

















Conclusion: 
Cloudify is one of the opensource orchestration platforms to deploy your application. It provides a way to configure the application, deploy them, and monitor them. It also provides an easy way of configuration using YAML language. In recent days, Cloudify is mainly used in the areas of SDN and NFV.

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