Infrastructure As Code Explained

Today, concerning the past years, it was believed that operating one or more servers is considered as a full-time duty. However, system administrators would carefully design their critical systems and keep the company on track. Though, the last 10 years have changed the way companies have come through their critical model. Servers are no longer objects stored in a cold, dark way in the basement. Nowadays, cloud companies like Google and Amazon manage the critical business models for wonderful storage for their thousands of customers. This change has changed the way engineers manage infrastructure. Gone are the days of administrators managing one or two servers. Today’s engineers need a dozen or a hundred servers to achieve important business goals. This scale also changes how engineers ensure their systems are properly aligned.

What Is Infrastructure-as-Code?

Infrastructure-as-code (I-a-C) is descriptive infrastructure management and uses the same version as the DevOps developer source code. Similar to the principle that the same code generates the same binary, the I-a-a-C model creates the same environment each time. DevOps Infrastructure as a code allows engineers to determine the computer systems on which their number must operate. Most often, these engineers use models like Chef or Ansible in order to define their structure. Though the tool used is not important in this case, because they all work the same way. Both allow the engineers to define the computer systems or networks of computer systems needed to execute and assist their codification.

DevOps Infrastructure As Code

In the context of software development, the environment requires fundamental limitations, as newly developed software code is tested to reflect the exact real environment in which the code is used. This is the only way to ensure that the new code does not conflict with current code definitions – creating errors or conflicts that can endanger the entire system. Previously, the following software was introduced:

  • The system administrator configures the physical server and configures the operating system with all necessary service packs and settings to reflect the operating system that supports the main production environment
  • The database administrator would go through the same process to support the databases and assign testing to that system
  • The programmer passes the code by copying it to the examiner, and the test team performed some performance and compliance tests
  • Once the new code has gone through the whole process, it will be used in a real work environment. In many cases, the new code does not work properly and requires additional troubleshooting and repair

Manual processing means leaving the door open for many human errors that are likely to be minor but can be very important, such as operating system version, patch level, time zone, etc. A virtual clone created with exactly the same DevOps infrastructure as a code as the live environment has absolute security that if it operates in a closed environment, it will act in real-time. Imagine installing software that includes D-E-V, U-A-T, and the production environment

The deployment of virtualization accelerated the creation and updating of the live testing environment, but the process was manual, meaning people should build and update the machine accordingly and in a timely manner. With the advent of DevOps, the process has become even more flexible. In the past, the software took hours and human resources to complete all development projects:

  • The designer writes code and instructions for setting up settings that perform operations in virtual and other environments, such as databases, tools, tests, distributed devices, etc
  • When you implement the new code, the configuration management system automatically creates a new virtual testing environment with an application server and database that accurately reflects that environment. 
  • Operationally work on both service and delivery packages as well as the actual data delivered in such a virtual testing environment. 

This is a code-like infrastructure that is part of the process. The tool then performs the necessary consistency tests on the tools and detects and resolves errors. The new code is ready for use in an IT state of affairs.

Actual State of Infrastructure as Code

The general idea behind the I-a-C, as well as the equipment available, is very advanced and many organizations determine their roadmap for approval. Now, the number of devices used Azure DevOps infrastructure as code training and appropriate tools are different for each infrastructure or DevOps team. The tools and functionalities available are very different, and below is an extensive list of the most popular tools available to create and manage DevOps infrastructure as a code:

Chef / Puppet

The chef was developed to enable rapid collaboration between team members, and Contextual Assets for DevOps, while Puppet evolved through process automation, making it useful for quickly building new infrastructure to meet customer requirements.


Although not a particular I-a-C asset, the popular open-source management device Ansible has the elements necessary to build multiple cloud and urban infrastructure. Although not cloud-independent, it also supports some cloud companies.

Benefits of I-a-C

We have explained to you how cloud computing solves some, but not all, of these problems. We then conclude that this is the final step. Let’s take a look at some of the benefits your organization can gain from using an azure DevOps infrastructure as code training solution.


The first advantage of the azure DevOps infrastructure as code training signal is the speed. The infrastructure code lets you quickly configure your entire infrastructure by running a script. You can do this in any environment, from development to production, including assembly, quality assurance and more. It can make the entire software development life cycle more efficient.


Manual processes cause errors, periods. Communication is difficult and we are generally pretty bad at it. As you read, manually managing the infrastructure causes distribution, no matter how hard you try. The I-a-C solves this problem if the configuration files are the only truth. This way you can ensure that the same settings are repeatedly used without inconsistency.


It’s quick and easy. Because I-a-C configuration files can be created just like any source code file, you have complete control over the changes made to each configuration. No more guessing who did what and when worked.

Lower Costs

Undoubtedly, one of the major advantages is the reduction of infrastructure management costs. Significantly reduce your costs with cloud computing DevOps infrastructure as a code. This is because you do not have to spend money on equipment, hire staff to use it, and build or rent physical storage. But this also lowers your costs in different and subtle ways, what we also call convenient costs.

Infrastructure as code is an important part of the DevOps movement. If you think cloud computing is the first step in solving many of the problems with manual IT, then it’s fair to say that I-a-C is the next logical step. It makes full use of cloud computing and frees developers and other professionals from performing manual operations and is error-prone.