Infrastructure as Code is becoming more and more important in the DevOps Context, due to the many benefits it brings.
Today I have for you a quick intro to the topic, so you can understand what it is and why more and more companies and developers are looking into adopting it.
I will not go into specific languages and tools but let me know in the comment section below if you'd like me to create another post, video, or a series about specific implementations.
As usual, if you are a visual learner, or simply prefer to watch and listen instead of reading, here you have the video with the whole explanation.
If you rather prefer reading, well... let's just continue :)
Infrastructure as Code (IaC) is the management of infrastructure (networks, virtual machines, load balancers, and so on so forth) in a descriptive model, using the same versioning as DevOps team uses for source code.
Like the principle that the same source code generates the same binary, an IaC model generates the same environment every time it is applied.
Thanks to this, Infrastructure as Code solves the problem of "environment drift".
Without IaC, teams must maintain the settings of individual deployment environments. Over time, each environment ends up having a unique configuration that cannot be reproduced automatically. Inconsistency among environments can cause issues during deployments, and administration and maintenance of infrastructure involves manual processes which are hard to track and contribute to errors.
With IaC, instead, teams make changes to the environment description and version the configuration model, which is typically in well-documented code formats. The release pipeline executes the model to configure target environments. If the team needs to make changes, they edit the source, not the target.
Additionally, IaC enables DevOps teams to test applications in production-like environments early in the development cycle. These teams expect to provision multiple test environments reliably and on demand. Infrastructure represented as code can also be validated and tested to prevent common deployment issues. At the same time, the cloud dynamically provisions and tears down environments based on IaC definitions.
Teams who implement IaC can deliver stable environments rapidly and at scale. They avoid manual configuration of environments and enforce consistency by representing the desired state of their environments via code.
Infrastructure deployments with IaC are repeatable and prevent runtime issues caused by configuration drift or missing dependencies.
DevOps teams can work together with a unified set of practices and tools to deliver applications and their supporting infrastructure rapidly, reliably, and at scale.
These are the reasons why IaC is a key DevOps practice and is used in conjunction with continuous delivery.
We should now have a clearer understanding of what Infrastructure as Code is, and of the benefits it provides.
Let me know in the comment section below if you have any question about IaC and, as I've mentioned before, if you'd like me to make another post or video about a specific tool or framework for Infrastructure as Code.
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