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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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Manufacturing 4.0: How Augmented Reality is Reshaping the Factory Floor

Augmented reality began in a lab at Harvard back in the 1960s, and over the years, it has been used for defense, sports, entertainment, and gaming applications, among others. Most of us got our first taste of augmented reality while chasing Pikachu through city streets in Pokémon Go. But in factories, AR isn’t about catching ’em all—it’s about keeping production lines running smoothly, minimizing errors, and turning workers into efficiency powerhouses with a simple glance through a headset. 

In manufacturing, AR has evolved beyond simple overlays to become a transformative force, seamlessly integrating with Artificial Intelligence (AI), IoT, and digital twin technologies. We all recognize the value AR brings to manufacturing, but what happens when AI enhances AR? How is AR transforming the industry, and how does it work? That’s exactly what we’ll explore in this blog.

The Next Evolution of AR in Manufacturing

Manufacturing is no longer just about automation, it’s about augmentation. AI is helping AR enable a new level of precision, real-time decision-making, and predictive capabilities that were once considered futuristic. Let’s take a closer look at how AR is elevating factory operations today.

1. AI-powered AR for Adaptive Workflows

Picture this: you’re on a bustling factory floor, working on an intricate assembly task. Traditional AR systems would simply float static instructions in front of you like flipping through a digital manual that doesn’t know if you’re stuck or making a mistake. Helpful? Sure. Dynamic? Not so much.

Now just imagine you are working with AI-powered AR which doesn’t just display instructions, it learns, adapts, and reacts. These intelligent systems analyze your workflow in real-time, adjusting guidance based on how you’re performing, the machine conditions around you, and even environmental factors. Hesitate on a step? The system modifies the instructions instantly. Does a component deviate from standard specifications? AR overlays flag the issue before it snowballs into a costly error.

Companies like PTC and Vuforia are pioneering AI-driven AR solutions, analyzing operator performance to deliver real-time coaching. How Volkswagen has integrated AI-driven AR into its assembly lines, automatically detecting errors and suggesting corrections to workers on the spot, significantly reducing rework time.

2. AR and IoT: The Connected Factory

What if the mere thought of ‘I wish these machines could just communicate’ could be true? AR, when combined with IoT, transforms equipment into interactive entities, providing real-time sensor data directly overlaid onto machinery. Instead of waiting for a malfunction, workers can spot anomalies, take proactive measures, and keep production lines running smoothly.

Siemens has already embraced this technology, equipping workers with AR dashboards that display real-time diagnostics and alerts, significantly reducing unexpected machine failures. According to Deloitte, Factories integrating AR-powered IoT solutions drop machine failure rates, leading to reduced downtime and operational costs.

3. AR-Enabled Remote Collaboration and Assistance

In the past, troubleshooting a complex issue on the factory floor meant waiting for an expert to arrive, causing delays in production. But with AI-powered AR, remote collaboration has become seamless. Experts can now “see” exactly what you see, overlaying real-time annotations, guiding your hands, and helping resolve issues instantly! no waiting, no guesswork.

Airbus has developed AR-based remote assistance solutions where engineers worldwide provide instant support to factory workers, reducing troubleshooting time by 60%. Similarly, Caterpillar’s AR-powered remote support system has led to a 50% reduction in equipment downtime, directly improving operational efficiency.

Source: Belcan.com

4. AR-Driven Digital Twins for Real-Time Decision Making

The virtual replica of your factory floor is not just imagination, it’s a reality with digital twin technology. Imagine standing in your factory and seeing a real-time, interactive model of the entire operation floating in front of you. These AI-powered digital twins mirror every aspect of your machinery and workflow, allowing workers to test processes, predict failures, and optimize operations before making real-world changes.

Instead of relying on outdated reports or delayed diagnostics, workers can access instant, data-driven insights overlaid onto their environment. This helps them tweak operations on the go without shutting down production. Whether optimizing machine performance, identifying bottlenecks, or improving workflow efficiency, digital twins give workers the power to make smarter, faster decisions right on the spot.

GE integrates AR with digital twins, allowing engineers to simulate and optimize workflows before execution, minimizing errors and improving efficiency. Companies leveraging AR-driven digital twins report a 40% boost in operational efficiency, making real-time decision-making more data-driven than ever.

5. AR in Workforce Development: AI-Coached Training and Skill Retention

Forget static manuals and lengthy onboarding sessions, AR is revolutionizing training by offering augmented reality training immersive, AI-assisted learning experiences tailored to individual skill levels. Workers learn by doing, receiving real-time, interactive guidance that accelerates skill acquisition and improves long-term retention.

Lockheed Martin has implemented AR-driven training programs, which have reduced the time required for workers to master complex assembly tasks. AI-integrated AR training systems can even predict potential human errors before they occur, offering instant corrective feedback and creating a more proactive, skilled workforce.

Source: Mantra Research

The Impact of AR on Manufacturing

The adoption of AR in smart manufacturing has not just improved the quality of output but has transformed the entire industry. By enabling real-time decision-making, predictive maintenance, and adaptive learning, AR is creating more agile, efficient, and error-free production environments. Workers are experiencing faster task completion rates, fewer errors, and enhanced safety measures, while companies are seeing increased ROI, reduced downtime, and higher production yields.

According to a PwC report, companies implementing AR in industrial settings have achieved a 32% improvement in productivity and a 25% reduction in errors. These advancements are not just making production lines smarter but also reshaping the role of human workers, empowering them with real-time insights and hands-free operational guidance.

Conclusion:

With AI-powered Augmented Reality on factory floors, the manufacturing industry has evolved in every way possible. AI is not just assisting AR—it’s amplifying its impact. Machine efficiency has soared, processes have become more seamless, and workers are now equipped with real-time insights that make their jobs more engaging and rewarding. Error rates have dropped drastically, and safety concerns are becoming a thing of the past, thanks to AI-driven predictive alerts and color-coded warnings that flag potential issues before they escalate.

But the real game-changer? Precision and quality. AI’s ability to analyze and adapt in real time has led to higher product quality, reduced downtime, and smarter workflows. The result – factories that are not just automated, but intelligently optimized.

At Mantra Labs, we build AI-driven solutions that help businesses scale sustainably, reduce inefficiencies, and streamline operations. From minimizing downtime to optimizing supply chains, we make manufacturing smarter and more resilient.

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