In today's fast-paced technological world, DevOps is becoming increasingly essential. DevOps practices promote collaboration between development and operations teams to ensure faster delivery of high-quality software. One fascinating concept is the Infrastructure as Code (IaC), which enables DevOps practices to be applied to infrastructure management.

IaC enables infrastructure creation and management through source control and virtualized tests, allowing for version control and continuous monitoring, much like how general release code management is performed. Moreover, it eliminates the need for written documentation and promotes collaboration between dev and operations teams. IaC is a remarkable asset, extending beyond simple automation; it enables error-free automation scripts that can be redeployed on multiple servers, can be rolled back in case of problems, and is accessible by both operations and development teams.

Containers further promote IaC and DevOps practices, and the benefits are enormous. From faster delivery times, improved quality, to better customer satisfaction, DevOps practices provide several advantages.

In this blog post, we will explore DevOps concepts such as automation, continuous integration and delivery, container orchestration, and more, and examine how businesses can use them to achieve their objectives.

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What is Infrastructure as Code?

Infrastructure as code (IaC) is a practice that involves managing infrastructure, including applications, networks, and virtual machines, in the same way as code management for software development. IaC helps to ensure consistency in infrastructure management and reduces errors, automating manual tasks.

With IaC, rather than using manual processes to manage the infrastructure, all the infrastructure configurations and dependencies are defined and managed through code, often using templating languages. This enables software teams to apply version control, automated testing, and continuous monitoring to infrastructure development in the same way as other software.

IaC is not just about automating the provisioning and management of infrastructure, but it's also about applying sound development practices. For example, it makes use of continuous integration, delivery, and deployment (CI/CD) to ensure that changes are tested thoroughly before they are implemented in production, ensuring error-free automation scripts that can be redeployed on multiple servers, rolled back in case of problems, and executed by both development and operations teams.

Moreover, unlike older methods of infrastructure management, IaC promotes the use of collaboration between development and operations teams. IaC offers a centralized repository that can help improve visibility, simplify tracking changes and version control, as well as avoiding written documentation.

This centralized approach to infrastructure management provides a level of consistency in the infrastructure environment that was once only possible in software development. When changes are made to any infrastructure component or code line, it triggers an automated testing process that ensures the change does not impact the overall system. If the testing process does notice any issues, the change can be rolled back, providing a level of resilience that was impossible before IaC.

IaC Best Practices

Infrastructure as Code (IaC) is an approach to managing infrastructure that is similar to managing code with version control systems. IaC provides many benefits over traditional infrastructure management by enabling core DevOps practices such as version control, virtualized testing, and continuous monitoring to be applied to the infrastructure in the same way as code.

One of the IaC best practices is to manage infrastructure through source control. By moving infrastructure configuration into source control, you can apply software development best practices to manage infrastructure in the same way as code. This allows for better collaboration among team members and better coordination between developers and operations teams. Additionally, version control provides an audit trail of changes made to the infrastructure, making it easier to identify and revert any incorrect changes.

Another best practice is to apply testing to infrastructure code in the form of unit, functional, and integration testing. Testing infrastructure ensures that changes made to the infrastructure do not introduce errors and that the infrastructure remains stable throughout its lifecycle. Testing also provides feedback to developers, allowing them to make changes and improvements to the infrastructure code.

To avoid written documentation, IaC uses self-documenting infrastructure code instead. This code can be easily reviewed and maintained by team members, increasing transparency and reducing confusion. Documentation that is automated and version-controlled also eliminates the risk of human error and ensures consistency in the infrastructure.

By enabling collaboration between the development and operations teams, IaC can ensure that the infrastructure is always aligned with business goals. This means that infrastructure is designed and developed with the customer in mind and that any changes that need to be made are done quickly and efficiently.

IaC and Change Management

Infrastructure as Code (IaC) is a critical concept in DevOps, providing a foundation for managing operations environments optimally. With IaC, the same version control, automated testing, and continuous monitoring practices applied to code management are also relevant to infrastructure management. Effectively managing infrastructure through IaC is achieved by maintaining the underlying code that governs the creation and management of the infrastructure. By avoiding written documentation, operations teams can collaborate with development teams to streamline the process and achieve error-free automation scripts.

IaC is more than just infrastructure automation. It is a means of applying the DevOps culture and practices, addressing siloes that may exist between operations and development teams. With IaC, infrastructure management benefits from version control, virtualized tests, and continuous monitoring, ensuring that the infrastructure's code is as reliable as a software application.

One of the significant advantages of IaC is its applicability in change management. With application code, changes can be tested with automated tests, tested in development environments, and routinely checked into version control. With IaC, changes can be made to infrastructure scripts, which can then lead to tests and checks being carried out in development and staging environments.

Containers are pointing the way forward for DevOps, with IaC being increasingly relevant to modern infrastructure deployments. IaC can oversee the entire container lifecycle by managing container orchestration, deploying applications, and performing rolling updates to meet container event-driven automation.

Finally, IaC can achieve service level agreements (SLAs) by offering continuous testing, improving resource utilization, and efficient integration testing. Additionally, IaC practices can be used to ensure that critical infrastructure components, including load balancing and network communication, seamlessly support evolving microservices architectures.

Imperative vs. Declarative IaC

One of the core tenets of Infrastructure as Code is its ability to manifest infrastructure in a repeatable, error-free, and consistent way. Implying a developer mindset, imperative programming is about telling your infrastructure the steps to take to get to a specific end goal. Declarative programming is a higher-level approach, defining the desired state of the infrastructure without detailing exactly how to get there. Imperative IaC approaches are considered the older-school of programming, while declarative IaC is seen as a more modern approach.

Imperative IaC, also known as "procedural", requires defining each operational task and the order they should be executed. Such a definition can quickly become overwhelming or overly-complex, particularly as the infrastructure grows. However, the benefits of imperative IaC include greater control over individual components of the infrastructure, the ability to reuse scripts for more-specific use cases, and easier-to-troubleshoot single specific parts, such as a single server or service.

Declarative IaC, on the other hand, focuses on the desired end-state of the infrastructure. This involves specifying what the infrastructure should look like, then having the automation tools take care of deciding and implementing the necessary actions to reach this state. Benefits of declarative IaC include reduced chance of errors caused by human oversight or mistakes, scalability, consistency, and better-human readability. With a declarative IaC approach, the same desired state can be applied across the whole infrastructure, and upon the introduction of a new component, the automation tools may only require a high-level integration point and life-cycle instead of requiring each step of implementation.

Declarative IaC treats the infrastructure as stateless objects or abstract assets. This method typifies a "pull" model where the automation tools search for any divergence between the desired state of the infrastructure and its current condition and self-remediate the dysfunction. This means the deployment is applying an error-free gravity that ensures the infrastructure reaches its desired outcome. The tradeoffs are less granularity and control, with less ease of troubleshooting and less differentiation between infrastructure components.

Ultimately, whether it is imperative or declarative, the ability to code infrastructure creates a more managed, scalable, and traceable infrastructure, making it an essential component of any true, effective DevOps environment.

Containers: The Future of IaC

Containers are rapidly evolving to be an integral part of the infrastructure as code(IaC) stack. Containers are essentially lightweight virtualization platforms enabling quick packaging, deployment, and repackaging of applications. By utilizing containers, the management of infrastructure becomes a lot more convenient and efficient.

One of the critical benefits of containers is scalability. Containers allow for multiple instances of an application to be deployed with ease, providing an easy and automated means of scaling infrastructure up and down. Through the use of container orchestration technologies such as Kubernetes, pods can be scaled up or down as traffic to an application increases or decreases, ensuring that the necessary resources are used only when needed, and that resources are not being wasted.

Since containers virtually segregate the application from its underlying host infrastructure, developers can create applications able to run anywhere with minimal configuration, with the assurance that the infrastructure they are running on is consistent across the application's production environment. This consistency eliminates the infrastructure discrepancies that can lead to unexpected results in infrastructure.

Containers can be orchestrated and managed in code, effectively abstracting the underlying infrastructure from developers and operations teams. With container management, such as Kubernetes, it's possible to bring up an identical infrastructure with just a few lines of code thanks to the use of Infrastructure as Code(IaC). With the automation and consistency containers offer, error-free automation scripts can be created that can be redeployed on multiple servers, enabled by both development and operations teams.

Containers also enable cross-functional collaboration between the development and operation teams. They allow developers to work on their application within their system's environment and allow operations to work with their infrastructure environments in parallel. Containers enable both teams to share workload and work together to ensure that the final product is free of errors, optimized, and able to deliver a better customer experience.

Key Takeaways

  • Infrastructure as code involves managing operational infrastructure using the same rules and structures as code development.
  • IaC extends beyond simple automation, requiring error-free automation scripts that can be reused on multiple servers, rolled back in case of problems, and engaged by both development and operations teams.
  • Best practice for successful IaC implementation includes involve developers in writing the IaC specifications for infrastructure elements, specifying the environment as strictly as possible, exercising caution when extending IaC tools to novices, and enabling collaboration between development and operations teams.
  • In the future, containers may become the primary tool for managing infrastructure, with Docker Compose emerging as the solution for managing relationships between heterogeneous services running on multiple machines.


What is the difference between IaC and change management?

IaC is a framework for managing infrastructure using the same rules and structures as code development, whereas change management involves managing change to infrastructure through predefined processes and approval workflows.

What are the best practices for successful IaC implementation?

Best practices for IaC include involving developers in writing IaC specifications for infrastructure elements, specifying the environment as strictly as possible, exercising caution when extending IaC tools to novices, and enabling collaboration between development and operations teams.

What is the future of IaC?

Containers may become the primary tool for managing infrastructure, with Docker Compose emerging as the solution for managing relationships between heterogeneous services running on multiple machines.


In conclusion, the adoption of Infrastructure as Code (IaC) in DevOps culture has brought many benefits to the table. Applying DevOps practices such as collaboration, continuous monitoring, and testing with IaC has helped in error-free automation scripts creation, scalable and resilient infrastructures, and faster time-to-market. With the rise of containerization and microservices, IaC is becoming even more relevant in managing and deploying infrastructure code.

By managing infrastructure through version control, automating deployment, and testing infrastructure code through unit, functional, and integration testing, DevOps teams can increase the reliability of their deployments while also reducing the burden of manual processes. Infrastructure as code removes the need for written and outdated documentation, enabling operations and development teams to work closely together and ensure that IT operations can keep up with the agile pace of development. IaC is the future of infrastructure management, and with its adoption, DevOps teams can achieve consistency, scalability, and faster recovery rates, thus increasing customer satisfaction.