toddcretacci.com

Infrastructure as Code Is Bigger Than a Single Tool

When most people hear the phrase Infrastructure as Code (IaC), they immediately think about Terraform.

That reaction makes sense. Terraform helped popularize Infrastructure as Code and remains one of the most influential tools in modern infrastructure engineering. It introduced a generation of engineers to declarative deployments, repeatable infrastructure, and automated provisioning.

Many organizations accidentally equate Terraform with Infrastructure as Code but they are not the same thing. Infrastructure as Code is an operating model. Terraform is one implementation of that operating model.

As cloud adoption, Kubernetes, platform engineering, AI-assisted operations, and hybrid infrastructure continue to evolve, successful organizations are discovering that Infrastructure as Code extends far beyond writing .tf files. The real value comes from creating standardized, repeatable, governed systems that automate technology delivery across the enterprise.

The future of Infrastructure as Code is not about choosing a single tool. It is about building a modern platform where infrastructure, applications, security controls, policies, documentation, and operations can all be managed as code.

HOW WE GOT HERE

For years, infrastructure teams built environments manually.

Provisioning a new application environment often required:

• Server requests
• Network configuration changes
• Storage allocations
• Security reviews
• Documentation updates
• Multiple approval processes

Every deployment introduced opportunities for inconsistency. One engineer configured a server differently than another. Documentation lagged behind reality. Security controls varied between environments. Configuration drift became inevitable.

Infrastructure as Code emerged as a solution to these challenges. Rather than documenting how infrastructure should look, engineers began defining infrastructure in code and allowing automation platforms to create it consistently. The benefits were significant:

• Deployment repeatability
• Version control
• Auditability
• Automation
• Faster deployments
• Reduced human error

Terraform became one of the most widely adopted tools because it provided a common language across multiple platforms, but as organizations matured, an important realization emerged:

Provisioning infrastructure is only one piece of the puzzle.

INFRASTRUCTURE AS CODE NOW INCLUDES ENTIRE PLATFORMS

Modern infrastructure teams are responsible for far more than deploying virtual machines. Today’s environments commonly include:

• Networking / Firewall Rules
• Kubernetes clusters
• Identity platforms
• Security controls
• CI/CD pipelines
• Monitoring systems
• Compliance requirements
• Platform engineering services
• Deploying specific cloud provider resources

Provisioning resources is often the easiest part. Operating those resources consistently is where the challenge begins.

The scope of automation continues growing because organizations need consistency everywhere, not just at deployment time.

THE RISE OF GITOPS

One of the most important developments in Infrastructure as Code over the past several years has been the growth of GitOps.

Traditional infrastructure automation often focuses on deployment. GitOps focuses on operations. In a GitOps model:

• Git becomes the source of truth
• Desired state lives in code repositories
• Automated controllers reconcile actual state with desired state
• Changes follow standard review and approval workflows

This approach is especially valuable in Kubernetes environments. Rather than manually applying changes to clusters, teams define desired configurations within source control and allow automation to enforce them. Benefits include:

• Improved governance
• Simplified rollback procedures
• Better auditing
• Reduced configuration drift
• Increased consistency

As organizations expand Kubernetes adoption, GitOps is becoming just as important as traditional Infrastructure as Code. This trend is especially relevant for hybrid cloud platforms where operational consistency becomes increasingly difficult to maintain.

For organizations running Kubernetes across datacenters, cloud environments, and platforms such as Google Distributed Cloud Virtual, GitOps helps establish a common operating model regardless of workload location.

Check out my blog post Running Kubernetes in Connected and Disconnected Environments for more information on connected and disconnected kubernetes environments.

POLICY AS CODE IS BECOMING ESSENTIAL

One mistake many organizations make is automating deployments without automating governance.

Infrastructure can be deployed in minutes but security reviews often take weeks – this disconnect creates friction. Policy as Code helps close that gap.

Instead of reviewing infrastructure after deployment, organizations can ensure compliance before deployment occurs. Tools can be used alongside GitOps pipelines to ensure automation meets company standards before risk hits production systems.

This creates a significant shift from reactive governance to proactive governance. The result is better security, faster delivery, reduced operational risk, and improved consistency.

As cloud environments continue to grow, manual governance simply does not scale. Automation becomes mandatory.

PLATFORM ENGINEERING CHANGES THE CONVERSATION

In my recent article, Why Platform Engineering Matters to Infrastructure Teams, I discussed how platform engineering creates standardized, reusable capabilities for technology teams.

Platform engineering and Infrastructure as Code are closely connected. Infrastructure as Code provides automation and Platform engineering provides the operating model. When combined, organizations can offer:

• Self-service infrastructure
• Automated Kubernetes platforms
• Standardized monitoring
• Integrated security controls
• Automated identity services
• Approved deployment templates

Instead of every application team reinventing the same infrastructure, platform teams provide trusted building blocks. This allows infrastructure engineers to evolve from deploying individual resources toward delivering internal technology platforms.

The value is not merely automation. The value is creating systems that scale.

AI IS EXPANDING INFRASTRUCTURE AS CODE

The next evolution of Infrastructure as Code may be driven by artificial intelligence. AI can already assist with many tasks, but the risk increases significantly if used without guardrails.

As I discussed in When AI Starts Scheduling the Gym, automation without appropriate guardrails can create unintended consequences.

AI-generated infrastructure should still follow approval workflows, policy validation, security reviews and governance standards. AI can accelerate automation but should not replace operational discipline.

Organizations that successfully combine Infrastructure as Code, Platform Engineering, and AI-assisted operations will likely move significantly faster than teams relying on manual processes alone.

THE HYBRID CLOUD REALITY

One reason Infrastructure as Code continues growing in importance is that infrastructure itself continues becoming more distributed. Most enterprises now operate some combination of datacenters and public cloud platforms. with a mix of different infrastructure products. Managing these environments manually is unrealistic.

As I discussed in my article on Google Distributed Cloud Virtual, organizations increasingly require consistent operations across multiple environments. Infrastructure as Code provides that consistency.

The goal is not merely automation. The goal is operational standardization.

FINAL THOUGHTS

Infrastructure as Code began as a way to automate infrastructure deployment. Today it has become something much larger.

Terraform remains incredibly important. However, Terraform solves only a portion of the infrastructure lifecycle. Terraform generally answers:

“How do I create infrastructure?”

Organizations must also answer:

• How do I secure infrastructure?
• How do I govern infrastructure?
• How do I observe infrastructure?
• How do I document infrastructure?
• How do I maintain infrastructure?
• How do I operate infrastructure?

Those answers often involve additional technologies. The future belongs to engineers who understand the broader ecosystem rather than a single tool.

The organizations that gain the most value from Infrastructure as Code are not simply automating server deployments. They are creating repeatable operating models that improve security, scalability, governance, and delivery speed across the entire technology organization.

The future of infrastructure is not just infrastructure as code.

The future is operations as code, governance as code, platform engineering, and AI-assisted automation working together as a single system.

Related Articles

• Why Platform Engineering Matters to Infrastructure Teams
• Running Kubernetes in Connected and Disconnected Environments
• How Organizations Can Extend Existing VMware Investments with Google Distributed Cloud Virtual
• When AI Starts Scheduling the Gym: The Ethical Lessons from an AI That Cancelled Everyone Else’s Appointments