AIaC, an Infrastructure-as-Code (IaC) and configuration generator driven by AI, has been introduced by Firefly – a Cloud Asset Management provider designing its solutions specifically for CloudOps teams. Using the command line interface (CLI), users may create code using natural language thanks to the open-source project AIaC, which is based on OpenAI.
Modern DevOps and platform engineering must include Infrastructure-as-Code (IaC), stated Firefly, which enables teams to automate the provisioning and administration of their infrastructure. IaC creation and upkeep, however, can be laborious and error-prone. That’s where AIaC would come in.
Users of AIaC need just enter the infrastructure configuration they want, and AIaC will create the appropriate IaC code templates, code comments, and execution instructions on their behalf. Because of this, users can “easily and rapidly” develop and update their infrastructure from the command line, doing away with the necessity for manual coding.
“As someone that used to be a DevOps Manager for over a decade, I know that Infrastructure Managers are always looking for ways to streamline and automate processes,” said Eran Bibi, Co-Founder and Chief Product Officer at Firefly. “AIaC is a game-changer for DevOps, SRE and Platform Engineering teams all over the world. I am excited to see how this tool will continue to evolve and what other members of the community will build with it.”
A variety of IaC code, including CloudFormation, Terraform, Pulumi, Helm Charts, and Dockerfiles, may be produced via AIaC. AIaC can also create workflow configurations, CI/CD pipelines, and even Shell scripts. As a result, it can be an effective and adaptable tool for platform and DevOps teams.
In addition, Firefly introduced the open-source ValidIaC project earlier this year, which aids programmers in examining the syntax, security, expenses, and graph of IaC resources.
Infrastructure-as-code (IaC) is a practice that aims to treat infrastructure in a software development manner. It involves writing and managing code to define and automate infrastructure components, such as virtual machines, load balancers, and databases, rather than manually creating and configuring these resources.
In modern DevOps and platform engineering, IaC is often considered a best practice because it allows for the automation of infrastructure provisioning and management, which can improve the efficiency and consistency of these processes. It also enables infrastructure to be treated as a versioned and reproducible artifact, which can make it easier to track changes and roll back if necessary.
However, it’s worth noting that the use of IaC is not always necessary or appropriate in all situations. It can require a certain level of expertise and effort to implement and maintain, and it may not be feasible for certain organizations or projects. Ultimately, the decision to utilize IaC will depend on the specific needs and goals of the organization and the resources available to support it.