As more organizations embrace the power of Artificial Intelligence for decision-making, operation automation and enhancing customer experience, there is a rapidly growing need for the ability to run AI-capable workloads in cloud environments. Traditional IT and manual processes used to manage cloud environments cannot support the rapid deployment, elasticity, and performance required to run AI-based workloads. Therefore, for modern enterprises today, cloud modernization is critical to achieving their overall business goals.
Infrastructure as Code (IaC) gives companies a way to express and keep their system resources with code instead of using physical equipment. Automating all elements of an organization’s environment will result in consistently created, dependable, and extensible foundations that fully support company’s future applications that will leverage AI technologies.
AI workloads frequently necessitate a sophisticated infrastructure build; this may include, but is not limited to, GPU-accelerated compute instances, large amounts of storage, secure data pipelines, and fast network layers. Manually creating this environment can be tedious, as well as error-prone. However, by utilizing Infrastructure as Code (IaC) technologies, organizations are able to use templates (which have been pre-approved) that will deploy these resources within minutes. Every AI project, therefore, has the correct initial architecture and is created in accordance with an approved architecture template. Therefore, there is less variability and a reduction in project start-up times across all AI projects.
Speed and agility are also key benefits of IaC in cloud modernization. Businesses need to be able to quickly test new solutions, launch them, and subsequently scale them due to rapid advances in AI technology. Whether deploying machine learning platforms, developing new methods for generative AI workloads, or building predictive analytics systems, IaC allows teams to create subsequent environments quickly and modify previously existing services without disrupting those services. This capability provides organizations with a competitive advantage in changing market conditions.
A key aspect of modernizing your organization is security. Since AI systems can process sensitive enterprise and customer information, as well as be concerned with governance/compliance, therefore security is a critical consideration throughout the AI Lifecycle. The use of Infrastructure as Code allows for organizations to take a security-first methodology by including access control, encryption standards, monitoring rules, and compliance policy in the templates for deploying AI applications. As a result, all cloud environments are deployed according to the same best practices, thus reducing the risk of manual misconfigurations.
Infrastructure as Code has become increasingly important for companies implementing hybrid and or multi-cloud strategies as many organizations utilize multiple combinations of Public Cloud/Private Cloud and Edge to provide capabilities for their Artificial Intelligence (AI) use cases. Deploying applications via code makes it easier to achieve consistency across different platforms, providing greater efficiency in terms of managing, optimizing and operating each cloud. Additionally, the unified approach enables greater control of costs, improved operational efficiency, and portability of workloads across various cloud environments.
AI and the modernization of your cloud to be ready for it, through Infrastructure as Code (IaC), will drive down the cost of operations, improve the reliability of deployments and accelerate innovation cycles (AI Solutions). By doing this, IT teams will be able to spend their time on more strategic initiatives, as opposed to repetitive setup activities. These same benefits provide cloud consulting companies with an opportunity to deliver high value transformational services that will align the technology used in the business with the long-term business goals.
Final Thoughts
If you plan on growing your company, your organization must start thinking about how to modernize your infrastructure using an AI-Ready Cloud as part of the next era of IT evolution. Use Infrastructure as Code to create scalable, secure, intelligent, and innovative environments in the cloud with the support of modernized business processes. At Ancrew Global Services, we assist you to build intelligent infrastructure in an entirely new way by providing you with solid Infrastructure as Code frameworks that will enable you to have an AI-Ready architecture that results in agility, resiliency, and overall success.