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Vagrant: Building and maintaining portable virtual software development environment

I had a new developer joining my team. But onboarding required him to successfully install all the necessary software. The project was complex with a disparate set of software, and modules required to make all of it work seamlessly. Despite best efforts, it took the developer a couple of hours to completely set up his machine.

vagrant

It set me to think if there is something that can be done to improve and expedite this onboarding. Why should it take a new developer so much time to set up his system when the very same activity has been done a couple of times before by earlier developers.

A little bit of ‘googling’ made me stumble upon some thing called Vagrant. Perhaps I was too ignorant before, but now I realize there exists better ways to handle this problem. The activity that took our developer hours can be finished in a few minutes.

Here is how Vagrant can help you set up your development environment in minutes.

  1. Install the latest version of Vagrant from https://www.vagrantup.com/downloads.html. You can download the version for your OS. You can also read more about Vagrant from https://www.vagrantup.com/docs/getting-started/
  1. After installing Vagrant, you will need to install VirtualBox from https://www.virtualbox.org

Now that you have installed Vagrant, and the Virtual Box, lets play around a bit with it.

From your bash shell you can run the following commands

$ init hashicorp/precise64

$ vagrant up

After running the above commands, you will have a fully running Virtual Machine running Ubuntu 12.04 LTS 64 bit. You can SSH into the machine with

vagrant ssh

, and when you are done playing around with your newly created virtual machine, you may choose to destroy it by running; vagrant destroy

Next Steps

Now that you have created a virtual environment, lets see how we can get started with creating a new vagrant aware project.

New Project

Setting up a new project would require us creating a new directory, and then running the init command inside the directory.

$ mkdir new_vagrant_project

$ cd new_vagrant_project

$ vagrant init

The last init command above will place a new file Vagrantfile inside the current directory. You may also choose to convert an existing project to make it vagrant aware by running the same vagrant init command from an existing directory.

So far all you have in your directory is one single file called Vagrantfile. But where is the OS? We have not yet installed it. How will my project run in my favorite OS?

Answers to above questions lie in the VirtualBox. Virtual Box is the software, which is the container for your OS. Instead of building the virtual machine from scratch, which would be slow and tedious process as all the OS files will need to be downloaded every time, Vagrant uses a base image to quickly clone the virtual machine. These base images are called boxes in vagrant, and as Vagrant website also says “specifying the box to use for your vagrant environment is the first step after creating a new Vagrantfile”.

The virtual box type or the OS need to be specified in Vagrantfile. Below is how you can tell Vagrant that you would like to use Ubuntu Precise 64 to run your application on.

Vagrant.configure(“2”) do |config|

config.vm.box = “hashicorp/precise64”

end

Vagrant gives you a virtual environment of a server with any OS of your liking. In this example, we added Precise 64 version of the Ubuntu OS. However if you would like to add anything else, you can search for options here

https://app.terraform.io/session

Its time to bootup the virtual machine. It can be done using

vagrant up

Next we can log in to the machine by running

vagrant ssh

When you are done fiddling around with the machine, you can destroy it by running vagrant destroy.

Now that the OS is ready, its time to install necessary softwares, and other dependencies. How do we do that?
Enter Ansible!!

Ansible helps us in provisioning the virtual machine booted up in the steps above. Provisioning is nothing but configuring, and installing different dependencies required to run on your application.

Ansible (http://docs.ansible.com/ansible/index.html) can be downloaded, and installed on your machine from http://docs.ansible.com/ansible/intro_installation.html#installing-the-control-machine

Please note that Ansible is not the only provisioning tool that can work with Vagrant. Vagrant works equally well with other provisioners like Puppet, Chef, etc.

The provisioner, Ansible in the current case needs to be configured with the Vagrant so that virtual machine knows how it should provision the machine after boot up.

The basic Vagrantfile Ansible configuration looks like

Vagrant.configure(“2”) do |config|

config.vm.box = “hashicorp/precise64”

config.vm.network ‘private_network’, ip: ‘192.168.1.x’

config.vm.network ‘forward_port’, guest: xxxx, host: yyyy

config.vm.provision “ansible” do |ansible|

ansible.playbook = “playbook.yml”

end
end

The configuration ‘private_network’ will give an IP to your virtual machine so that traffic can flow from/to the virtual machine.

The ‘forward_port’ configuration enables us to specify that requests coming on a port xxxx to the virtual machine from outside will be routed inside the VM on an application listening on port yyyy.

Playbook is a very integral component of Ansible. Playbook contains instructions that Ansible will execute to ready your machine. These instructions can be a list of softwares to be downloaded, and installed, or any other configuration that your application requires to function properly. Playbooks are expressed in YAML format. Each playbook is composed of one or more ‘plays’ in a list.

The goal of a play is to map a group of hosts to some well-defined roles, represented by ‘tasks’.

Here is a playbook example with just one play.

- hosts: webservers

vars:

http_port: 80

max_clients: 200

remote_user: root

tasks:

- name: ensure apache is at the latest version

yum: name=httpd state=latest

- name: write the apache config file

template: src=/srv/httpd.j2 dest=/etc/httpd.conf

notify:

- restart apache

- name: ensure apache is running (and enable it at boot)

service: name=httpd state=started enabled=yes

handlers:

- name: restart apache

service: name=httpd state=restarted

A playbook can also have multiple plays, with each play executing on a group of servers. You can also have multiple plays in a playbook, with each play running on a different group of servers as in http://docs.ansible.com/ansible/playbooks_intro.html

In the next part of this series, I will take a real example where an application requires multiple software, and configurations, and how we make use of Vagrant & Ansible to run it in the developer’s machine, and then automate deployment to the cloud servers.

In case, you any queries on Virtualizing Your Development Environment To Make It A Replica Of Production, feel free to approach us on hello@mantralabsglobal.com, our developers are here to clear confusions and it might be a good choice based on your business and technical needs.

This guest post has been written by Parag Sharma Mantra Labs CEO.

He is an 14 year IT industry veteran with stints in companies like Zapak and RedBus before founding Mantra Labs back in 2009. Since then, Mantra has dabbled in various products and is now a niche technology solutions house for enterprises and startups.

Mantra Labs is an IT service company and the core service provided by the company are Web Development, Mobile Development, Enterprise on the Cloud, Internet of Things. The other services provided by the company are Incubate start-up, provide Pro-active solutions and are Technical Partners of Funds & Entrepreneurs.

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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