Unlock the Power of GenAI Assisted Infrastructure Automation

Discover how GenAI-assisted code helps IT teams to automate workflows, boost efficiency and future-proof operations with Dell.

The landscape of IT infrastructure is undergoing a rapid transformation. As organizations strive for greater efficiency, scalability, and resilience, automation has become the backbone of modern operations. Enter GenAI assisted infrastructure automation, an evolutionary leap driven by generative artificial intelligence that equips IT teams to accelerate workflows, reduce errors, and future-proof their operations. Dell stands at the forefront, offering not only robust platforms but also practical resources to help teams bridge knowledge gaps and unlock unprecedented levels of automation. 

The New Era of Infrastructure Automation

Automation, once a straightforward strategy for provisioning servers or patching systems, has matured into a sophisticated discipline spanning the entire data infrastructure lifecycle. The growing complexity of managing on-premises and public cloud environments makes it imperative to leverage every tool available to increase workflow speed and consistency. 

Today’s automation isn’t just about writing scripts; it’s about orchestrating infrastructure with confidence, enabling agile releases, rapid workload placement, and end-to-end lifecycle management. Community-driven repositories, productized automation tools, and best practice frameworks are essential foundations, and the emergence of GenAI is now amplifying what is possible. 

How Dell Empowers Organizations to Upskill

Dell recognizes that successful automation initiatives hinge on qualified and expandable teams. Through comprehensive documentation, hands-on labs, community engagement, and a robust portfolio of infrastructure as code (IaC) solutions, Dell reduces the learning curve for IT professionals at every stage of adoption. 

Key benefits of Dell’s GenAI-driven approach include:

    • On-demand learning resources that cut across disciplines and platforms 
    • Consistent, automation-ready infrastructures for seamless operation 
    • Access to community repositories and open source tools for collaboration and rapid innovation 
    • Integrations with modern orchestration tools like Ansible, Terraform, and Pulumi 

Dell’s documentation and sample configurations allow teams to see real-world examples;  these serve as blueprints for replicating and expanding automation strategies within their unique environments. 

From Zero to Automation Hero Essential Tools for GenAI-Driven IaC

Transitioning to GenAI-assisted infrastructure doesn’t mean abandoning what works. Instead, it’s about layering machine intelligence on proven workflows. Here’s how Dell’s ecosystem enables organizations to get started and scale up quickly: 

Ansible by Red Hat 

Ansible remains one of the most widely adopted automation frameworks. Known for its agentless architecture and stable operations, Ansible empowers configuration management, provisioning, application deployment and ongoing compliance across diverse Dell portfolios—from PowerStore and PowerScale storage to PowerFlex solutions.  

Dell provides an array of Ansible collections, with playbooks crafted in YAML, designed to automate both day one and day two operations. 

Terraform by HashiCorp

Terraform brings consistent, declarative infrastructure provisioning across hybrid and multi-cloud environments. Dell offers Terraform providers that support a broad spectrum of hardware and virtualized resources, enabling simplified state management, rapid provisioning, and seamless scale-out. 

Pulumi

For teams preferring infrastructure as code in familiar programming languages, Pulumi integrates with Python, JavaScript and more. Dell supports Pulumi for IaC provisioning, with blueprints that make it easy to automate complex workflows in the language of your choice. 

Example Getting Started Workflow

  1. Install Pulumi and Bridge SDK
  2. Set up a configuration file in your preferred programming language
  3. Provision Dell infrastructure resources programmatically
  4. Maintain and expand with community-driven modules

For more detailed walkthroughs, Dell’s InfoHub provides step-by-step guides, including Deploying Dell PowerStore with Pulumi and Terraform Provider

VS Code Extensions and GenAI Plugins

Modern development environments like VS Code (Visual Studio Code) become even more formidable through Dell’s tailored extensions. These offer: 

    • Pre-built IaC snippets for the Dell infrastructure portfolio 
    • Productivity and debug tools that accelerate development 
    • Integration of generative AI coding assistants (e.g., GitHub Copilot, Tabnine) to suggest, generate, and optimize IaC configurations in real time 

The assertion that “the hottest programming language is English” rings true in this context—as generative AI models, fed the right context, can turn natural language instructions into robust, working code. 

Harnessing GenAI for Infrastructure Automation

Large Language Models (LLMs) revolutionize how code and configurations are generated. For infrastructure automation, GenAI can: 

  • Generate Terraform configs and Ansible playbooks tailored to deployment needs by providing rich context from Dell documentation
  • Review, document, and enhance existing infrastructure code
  • Accelerate onboarding for new team members through contextual explanations and examples 

Critical Note About Context and Reliability

While GenAI opens new doors, it is not infallible. LLMs may “hallucinate” plausible sounding, but incorrect, code if not provided with sufficient context. This is why Dell emphasizes: 

  • Supplying well-commented examples and accurate documentation as input 
  • Leveraging tested configurations from public repositories and personal codebases 
  • Using VS Code’s snippet infrastructure for consistent, reliable results 
  • Taking advantage of Dell’s REST API documentation for advanced integrations 

AI Coding Tools and Where to Begin

To harness GenAI capabilities in a stable and scalable way, it is recommended to start with tools like VS Code paired with Tabnine and open source command-line tools like AIDER. Python is also invaluable for its programmable flexibility and ability to create chained LLM workflows. Additionally, engaging with Dell’s hands-on labs and community resources can provide essential support. A sample workflow using Dell’s ecosystem might involve defining infrastructure requirements and selecting relevant modules, utilizing VS Code with Dell IaC snippets and Copilot to draft playbooks, leveraging community examples and well-documented code for context-aware GenAI prompting, and deploying, testing, and iterating with Terraform, Pulumi, or Ansible providers, all robustly supported by Dell. 

Moving Forward with GenAI and Dell

Start today by exploring Dell’s hands-on labs on PowerFlex, PowerScale, and PowerMax automation, and discover tailored VS Code extensions to supercharge your development workflow. The future of infrastructure automation is here, and with GenAI, you’re equipped to lead the way. 

About the Author: Jennifer Aspesi

Jen Aspesi is Sr. Consultant Solutions Marketing for Dell Technologies Data Protection Division, primary focus on Cloud Solutions, Kubernetes and High Value Workloads. Prior to this role, Jen was Director of Advanced Customer Engineering for several areas of Dell EMC product and field enablement including storage replication, storage virtualization, backup and recovery. Jen has a Masters of Innovative Technology from Worcester Polytechnic Institute, MA.