Someone manually clicks through the cloud console to set up a server, forgets exactly what settings they used, and six months later nobody can recreate that environment when it’s needed again. That’s the entire problem infrastructure as code exists to solve.
Infrastructure as code tools let you define your servers, networks, and cloud resources in files instead of clicking through a console. That means your infrastructure gets version-controlled, repeatable, and reviewable, just like application code. No more guessing what settings someone used months ago.
We tested 20 IaC tools below, from cloud-agnostic tools that work across every provider to cloud-specific options built for one ecosystem. Some are free and open-source. Others charge based on infrastructure managed once you scale into enterprise use.
Check the comparison table for a fast pick, or read through the full reviews to find the tool that matches your infrastructure and your team’s preferred language. Stop recreating environments from memory. Pick an IaC tool and make your infrastructure repeatable today.
What Is an Infrastructure as Code (IaC) Tool?
An infrastructure as code tool lets teams define and manage cloud or on-premise infrastructure using configuration files instead of manual setup through a console or command line. Changes get tracked in version control, just like application code.
Most IaC tools fall into two categories: declarative tools where you describe the desired end state, and imperative tools where you define the exact steps to get there.
What Are the Common Features of Infrastructure as Code Tools?
- Declarative or imperative configuration syntax for defining infrastructure resources
- State management for tracking the current condition of deployed infrastructure
- Version control integration for tracking infrastructure changes over time
- Provider plugins or modules for supporting different cloud platforms and services
- Plan and preview capabilities for reviewing changes before applying them
- Reusable configuration templates for standardizing infrastructure across projects
- Rollback and drift detection for identifying and correcting unintended changes
What Are the Benefits of Infrastructure as Code Tools?
- Improves consistency by ensuring infrastructure is deployed the same way every time
- Reduces manual errors compared to clicking through cloud consoles
- Speeds up environment setup by automating what used to take hours manually
- Supports better collaboration through version-controlled, reviewable infrastructure changes
- Enables disaster recovery by allowing infrastructure to be recreated quickly from code
- Strengthens auditability by tracking exactly what changed and when
Who Uses Infrastructure as Code Tools?
- DevOps and platform engineering teams managing cloud infrastructure
- Site reliability engineers ensuring consistent, repeatable environments
- Enterprise IT departments standardizing infrastructure across many teams
- Startups wanting to scale infrastructure without manual bottlenecks
- Cloud architects designing multi-cloud and hybrid infrastructure strategies
- Security teams enforcing infrastructure configuration standards through code
How We Tested These Infrastructure as Code Tools
We looked at ease of use, multi-cloud support, state management reliability, community and provider ecosystem size, and pricing transparency across free and paid tiers. We also weighed real user feedback on stability and long-term maintainability.
We tested for:
- Ease of learning the tool’s configuration syntax
- Breadth of supported cloud providers and services
- Reliability of state management and drift detection
- Quality of plan and preview functionality before applying changes
- Community size and availability of reusable modules or templates
- Pricing clarity across different team and infrastructure sizes
Quick Comparison of Infrastructure as Code Tools
| Software | Best For | Starting Price |
|---|---|---|
| Terraform | Multi-cloud infrastructure with a huge provider ecosystem | Free, paid from custom quote |
| Pulumi | Teams wanting to write infrastructure in general-purpose languages | Free, paid from $50/month |
| AWS CloudFormation | Teams fully committed to AWS infrastructure | Free |
| Azure Resource Manager (ARM) Templates | Teams fully committed to Azure infrastructure | Free |
| Bicep | Simpler syntax for Azure infrastructure than raw ARM templates | Free |
| Ansible | Configuration management combined with lightweight provisioning | Free, paid from custom quote |
| Chef | Complex configuration management at enterprise scale | Custom pricing |
| Puppet | Enterprise configuration management with strong compliance tools | Custom pricing |
| SaltStack | Fast, event-driven configuration management | Free, paid from custom quote |
| OpenTofu | Open-source, community-driven Terraform alternative | Free |
| Crossplane | Managing infrastructure through Kubernetes APIs | Free |
| AWS CDK | Defining AWS infrastructure using familiar programming languages | Free |
| CDK for Terraform (CDKTF) | Using programming languages to generate Terraform configuration | Free |
| Terragrunt | Keeping Terraform configurations DRY across environments | Free |
| Packer | Building consistent machine images across platforms | Free |
| Vagrant | Building and managing reproducible development environments | Free |
| Google Cloud Deployment Manager | Teams fully committed to Google Cloud infrastructure | Free |
| Serverless Framework | Defining and deploying serverless application infrastructure | Free, paid from $30/month |
| AWS SAM | Simplifying serverless infrastructure definition on AWS | Free |
| Spacelift | Managing and automating IaC workflows across tools | Free, paid from custom quote |
20 Best Infrastructure as Code Tools (Detailed Reviews)
1. Terraform
Terraform offers multi-cloud infrastructure with a huge provider ecosystem, letting teams define infrastructure across nearly any cloud provider or service using one consistent configuration language. It’s the most widely adopted IaC tool across the industry.
- Key Features: massive provider ecosystem, declarative configuration language, strong state management
- Pros: huge community, works across virtually every major cloud provider
- Cons: licensing changes have pushed some users toward community forks like OpenTofu
2. Pulumi
Pulumi lets teams write infrastructure in general-purpose languages, allowing developers to define infrastructure using languages like Python, TypeScript, or Go instead of a dedicated configuration language. It’s a strong fit for teams wanting to use existing programming skills.
- Key Features: support for general-purpose programming languages, strong testing capabilities, multi-cloud support
- Pros: strong fit for developers who prefer real programming languages over declarative syntax
- Cons: smaller community than Terraform, though growing steadily
3. AWS CloudFormation
AWS CloudFormation serves teams fully committed to AWS infrastructure, offering native, deeply integrated infrastructure automation built specifically for AWS services. It’s a strong fit for teams not needing multi-cloud flexibility.
- Key Features: native AWS service integration, no additional cost beyond resources used, strong AWS-specific feature support
- Pros: tightly integrated and fully supported by AWS
- Cons: not usable for infrastructure outside the AWS ecosystem
4. Azure Resource Manager (ARM) Templates
Azure Resource Manager Templates serve teams fully committed to Azure infrastructure, providing native, JSON-based infrastructure definition tightly integrated with Azure’s services and management tools. It’s the foundational IaC approach within Azure.
- Key Features: native Azure integration, JSON-based configuration, built-in validation tools
- Pros: fully supported and integrated within the Azure ecosystem
- Cons: JSON syntax can become verbose and harder to read than newer alternatives
5. Bicep
Bicep offers simpler syntax for Azure infrastructure than raw ARM templates, providing a more readable, concise language that compiles down to ARM templates automatically. It’s become the preferred way to write Azure infrastructure code for many teams.
- Key Features: cleaner, more readable syntax than raw ARM JSON, automatic compilation to ARM templates, strong Azure tooling integration
- Pros: significantly more approachable than raw ARM templates
- Cons: still limited to Azure infrastructure only
6. Ansible
Ansible combines configuration management with lightweight provisioning, using a simple, agentless approach to configure servers and provision infrastructure through readable YAML playbooks. It’s widely used for both infrastructure setup and ongoing configuration management.
- Key Features: agentless architecture, readable YAML-based playbooks, broad module ecosystem for various systems
- Pros: approachable syntax, doesn’t require installing agents on managed systems
- Cons: less suited as a primary tool for complex, large-scale cloud infrastructure provisioning compared to dedicated IaC tools
7. Chef
Chef handles complex configuration management at enterprise scale, using a Ruby-based domain-specific language to define detailed system configurations for large, complex infrastructure environments. It’s a mature, established option in configuration management.
- Key Features: Ruby-based configuration language, strong compliance and policy enforcement, mature ecosystem
- Pros: strong depth for complex, large-scale configuration management needs
- Cons: steeper learning curve than more modern, simpler alternatives
8. Puppet
Puppet provides enterprise configuration management with strong compliance tools, offering detailed reporting and policy enforcement built for large organizations with strict compliance requirements. It’s a solid, established choice for regulated environments.
- Key Features: strong compliance and reporting tools, declarative configuration language, mature enterprise support
- Pros: strong for enterprises with strict configuration compliance needs
- Cons: pricing isn’t public, steeper learning curve than newer tools
9. SaltStack
SaltStack offers fast, event-driven configuration management, built around a highly performant communication architecture that allows very fast execution across large numbers of managed systems. It’s a strong fit for teams needing speed at scale.
- Key Features: event-driven architecture, fast execution across large infrastructure, flexible module system
- Pros: strong performance advantages at scale compared to some alternatives
- Cons: smaller community than Ansible or Puppet
10. OpenTofu
OpenTofu delivers an open-source, community-driven Terraform alternative, created after licensing changes to Terraform prompted a community fork that remains fully open-source under the original terms. It’s a strong fit for teams wanting to avoid vendor licensing concerns.
- Key Features: fully open-source licensing, compatibility with existing Terraform configurations, community-governed development
- Pros: strong option for teams prioritizing open-source licensing certainty
- Cons: newer project still building out its own independent ecosystem
11. Crossplane
Crossplane manages infrastructure through Kubernetes APIs, letting teams define and provision cloud infrastructure using the same Kubernetes-native approach they use for managing containerized applications. It’s a strong fit for Kubernetes-centric organizations.
- Key Features: Kubernetes-native infrastructure management, composable infrastructure abstractions, GitOps-friendly architecture
- Pros: strong fit for teams already deeply invested in Kubernetes workflows
- Cons: steeper learning curve for teams not already familiar with Kubernetes concepts
12. AWS CDK
AWS CDK lets teams define AWS infrastructure using familiar programming languages, similar in spirit to Pulumi but built specifically and natively for AWS. It’s a strong fit for AWS-focused teams wanting to code infrastructure rather than write declarative templates.
- Key Features: support for multiple programming languages, native AWS CloudFormation compilation, reusable construct libraries
- Pros: strong fit for AWS-focused developers wanting to use real code
- Cons: limited to AWS infrastructure only
13. CDK for Terraform (CDKTF)
CDK for Terraform uses programming languages to generate Terraform configuration, combining the AWS CDK’s programming language approach with Terraform’s broader multi-cloud provider ecosystem. It’s a strong fit for teams wanting code-based infrastructure across multiple clouds.
- Key Features: programming language-based configuration, full access to Terraform’s provider ecosystem, familiar CDK-style constructs
- Pros: combines multi-cloud flexibility with a code-first approach
- Cons: smaller community than either standalone Terraform or AWS CDK
14. Terragrunt
Terragrunt focuses on keeping Terraform configurations DRY across environments, providing a thin wrapper around Terraform that helps teams avoid duplicating configuration across multiple environments like staging and production. It’s a strong companion tool for larger Terraform projects.
- Key Features: DRY configuration management, remote state management helpers, multi-environment orchestration
- Pros: significantly reduces configuration duplication in larger Terraform projects
- Cons: adds an additional layer of tooling and complexity on top of Terraform itself
15. Packer
Packer specializes in building consistent machine images across platforms, letting teams create identical virtual machine or container images that can be deployed consistently across different infrastructure providers. It’s a strong companion to broader IaC workflows.
- Key Features: multi-platform image building, consistent image configuration, integration with major cloud providers
- Pros: strong for ensuring consistent base images across environments
- Cons: focused narrowly on image building rather than full infrastructure provisioning
16. Vagrant
Vagrant helps teams build and manage reproducible development environments, letting developers define consistent local development environments that match production infrastructure more closely. It’s a strong fit for standardizing development environments across a team.
- Key Features: reproducible local development environments, provider-agnostic virtualization support, simple configuration files
- Pros: strong for standardizing development environments across a team
- Cons: less relevant for actual production infrastructure provisioning
17. Google Cloud Deployment Manager
Google Cloud Deployment Manager serves teams fully committed to Google Cloud infrastructure, offering native infrastructure automation built specifically for Google Cloud services. It’s Google’s answer to AWS CloudFormation and ARM Templates.
- Key Features: native Google Cloud integration, YAML and Python-based configuration, no additional tool licensing cost
- Pros: tightly integrated and fully supported within Google Cloud
- Cons: not usable for infrastructure outside the Google Cloud ecosystem
18. Serverless Framework
Serverless Framework focuses on defining and deploying serverless application infrastructure, built specifically to simplify provisioning for serverless functions and related resources across multiple cloud providers. It’s a strong fit for serverless-focused architectures.
- Key Features: serverless-focused infrastructure definition, multi-cloud serverless support, plugin ecosystem for extended functionality
- Pros: strong specialization for serverless application infrastructure
- Cons: less suited for traditional, non-serverless infrastructure needs
19. AWS SAM
AWS SAM simplifies serverless infrastructure definition on AWS, providing a streamlined way to define serverless applications specifically within the AWS ecosystem, extending CloudFormation with serverless-specific shorthand. It’s a strong fit for AWS-focused serverless teams.
- Key Features: serverless-specific shorthand syntax, native AWS CloudFormation compatibility, local testing tools
- Pros: strong simplification for AWS serverless infrastructure specifically
- Cons: limited to AWS serverless use cases only
20. Spacelift
Spacelift manages and automates IaC workflows across tools, functioning as a management layer on top of Terraform, Pulumi, and other IaC tools to add policy enforcement, collaboration, and workflow automation. It’s a strong fit for teams wanting more governance over their existing IaC tooling.
- Key Features: policy enforcement across IaC workflows, multi-tool support including Terraform and Pulumi, collaborative review workflows
- Pros: strong added governance and automation layer on top of existing IaC tools
- Cons: adds another tool and cost on top of your primary IaC platform
What Are the Alternatives to Infrastructure as Code Tools?
- Manual infrastructure provisioning through cloud consoles for very small or simple setups
- Configuration management alone without a dedicated infrastructure provisioning tool
- Fully managed platform-as-a-service offerings that abstract away infrastructure entirely
- Custom scripts for very specific, narrow infrastructure automation needs
Software Related to Infrastructure as Code Tools
- CI/CD platforms for automating the application of infrastructure changes
- Kubernetes management tools for managing container orchestration alongside underlying infrastructure
- Cloud cost management software for tracking spending tied to provisioned infrastructure
- Secrets management tools for securely handling credentials referenced in infrastructure code
- Monitoring and observability software for tracking the health of infrastructure once deployed
Challenges With Infrastructure as Code Tools
- State management complexity. Tools like Terraform require careful handling of state files to avoid conflicts or corruption.
- Learning curve for new syntax. Each tool has its own configuration language or approach that takes time to learn.
- Configuration drift. Manual changes made outside the IaC tool can cause infrastructure to diverge from defined configuration.
- Multi-tool complexity. Combining several IaC and configuration management tools can create overlapping responsibilities.
- Security risks in configuration files. Improperly secured configuration files can expose sensitive credentials or infrastructure details.
Which Companies Should Buy Infrastructure as Code Tools
- DevOps and platform engineering teams managing cloud infrastructure
- Enterprise IT departments standardizing infrastructure across many teams
- Startups wanting to scale infrastructure without manual bottlenecks
- Cloud architects designing multi-cloud or hybrid cloud strategies
- Regulated industries needing auditable, consistent infrastructure configuration
- Software companies running complex, frequently changing cloud environments
How to Choose the Best Infrastructure as Code Tool
- Match the tool to your cloud strategy. Multi-cloud teams benefit from Terraform or Pulumi, while single-cloud teams may prefer native tools like CloudFormation or ARM Templates.
- Consider your team’s language preferences. Developers who prefer real programming languages may favor Pulumi or AWS CDK over declarative syntax.
- Think about configuration management needs. Ansible, Chef, and Puppet address ongoing system configuration differently than provisioning-focused tools like Terraform.
- Check community and ecosystem size. Larger ecosystems mean more available modules, documentation, and community support.
- Factor in governance needs. Larger organizations may benefit from a management layer like Spacelift on top of their core IaC tool.
- Look at licensing considerations. Teams concerned about licensing changes may prefer fully open-source options like OpenTofu.
Infrastructure as Code Tool Trends
- Programming language-based IaC continues growing, with tools like Pulumi and AWS CDK gaining traction over purely declarative syntax.
- Kubernetes-native infrastructure management is expanding through tools like Crossplane that treat infrastructure as another Kubernetes resource.
- Open-source governance concerns continue shaping tool choice, following licensing changes that led to forks like OpenTofu.
- Policy as code is growing alongside IaC, adding automated compliance checks directly into infrastructure workflows.
- IaC management and governance platforms like Spacelift are gaining adoption as organizations run IaC at larger scale.
Common Infrastructure as Code Tool Problems (Fixes)
Problem: Infrastructure state has drifted from what’s defined in code. Fix: run regular drift detection checks and reconcile manual changes back into your configuration files rather than letting drift accumulate.
Problem: Terraform state files are causing conflicts between team members. Fix: use a remote state backend with locking to prevent simultaneous changes from corrupting shared state.
Problem: Configuration is becoming duplicated across multiple environments. Fix: adopt a tool like Terragrunt or restructure your configuration using reusable modules to reduce repetition.
Problem: Sensitive credentials are exposed in configuration files. Fix: integrate a dedicated secrets management tool rather than storing credentials directly in your IaC configuration.
Problem: New team members are struggling to learn the IaC tool’s syntax. Fix: invest in structured onboarding and documentation, and consider starting with smaller, well-documented modules before tackling complex configurations.
FAQs About Infrastructure as Code Tools
What is the best infrastructure as code tool overall?
Terraform remains the most widely adopted option for multi-cloud infrastructure, while Pulumi is a strong choice for teams wanting to use general-purpose programming languages.
Are infrastructure as code tools free to use?
Many are, including Terraform, Ansible, OpenTofu, and Crossplane. Some enterprise features or management platforms like Spacelift require a paid plan.
What’s the difference between Terraform and Ansible?
Terraform is primarily built for provisioning infrastructure, while Ansible focuses more on configuration management, though both can overlap depending on how they’re used.
Why did OpenTofu get created?
OpenTofu was created as an open-source fork of Terraform after licensing changes prompted concerns within the community about long-term open-source access.
Do I need infrastructure as code for a small project?
It depends on complexity and growth plans. Even small projects benefit from IaC if the infrastructure needs to be reproducible or is likely to grow over time.
Can infrastructure as code tools manage multiple cloud providers at once?
Yes, tools like Terraform, Pulumi, and OpenTofu are specifically designed to manage infrastructure across multiple cloud providers from one configuration approach.
