Best Free Infrastructure as Code Tools in 2026

Harness is a DevOps platform providing continuous delivery, CI/CD, infrastructure as code management, and security testing orchestration with flexible modular pricing.

Ansible is an open source automation platform by Red Hat for IT automation including configuration management, application deployment, and orchestration using simple YAML playbooks.

Terraform is an infrastructure as code tool by HashiCorp for provisioning, managing, and versioning infrastructure across cloud providers with declarative configuration files.

AWS CDK lets you define cloud infrastructure using TypeScript, Python, Java, or C# instead of YAML templates. Write code that compiles to CloudFormation, with type checking and IDE support along the way. Constructs package reusable infrastructure patterns. The abstraction level lets you work at whatever detail makes sense-high-level components or low-level resources. Developers who find CloudFormation templates painful choose CDK because infrastructure is easier to write, test, and maintain when it's actual code.

Winglang is an open-source programming language designed for building and deploying cloud applications. It unifies infrastructure and application code into a single codebase, allowing developers to define their cloud resources (like queues, buckets, and databases) and their application logic (like serverless functions) within the same Wing program. This approach aims to simplify the development and deployment process for serverless and other cloud-native architectures. Winglang compiles to cloud-agnostic infrastructure as code (Terraform, CloudFormation) and application code (JavaScript, Python, Go), enabling deployment to various cloud providers such as AWS, Azure, and Google Cloud. It provides a local simulation environment for testing cloud applications without deploying to a live cloud, which significantly speeds up the development feedback loop. The language is particularly well-suited for developers looking to reduce the cognitive load associated with managing separate infrastructure and application codebases, and for teams adopting serverless and event-driven architectures.

Golioth provides a complete device-to-cloud foundation specifically designed for hardware teams building IoT products. It eliminates the need for extensive custom cloud infrastructure development, allowing teams to focus on their core product. The platform supports a wide range of hardware and RTOS, enabling rapid prototyping and deployment of connected devices. Golioth offers robust device management capabilities, including secure over-the-air (OTA) updates, remote configuration, and comprehensive logging. Its 'Pipelines' feature simplifies data routing and transformation, allowing raw device data to be easily sent to various cloud services, analytics platforms, or AI models. The platform also integrates hybrid AI orchestration, enabling edge inference and continuous model improvement using real-world data from deployed devices. Security is built-in from the ground up with end-to-end encryption and certificate authentication.

Packer is an open-source tool for creating identical machine images for multiple platforms from a single source configuration. It streamlines the process of building 'golden images' that can be used across various cloud providers and virtualization technologies, ensuring consistency and reliability in deployments. By automating the image creation process, Packer helps reduce configuration drift and simplifies infrastructure management. This tool is ideal for DevOps engineers, system administrators, and developers who need to create and manage consistent machine images across different environments, such as AWS, Docker, and other cloud platforms. It integrates seamlessly into existing CI/CD pipelines, enabling automated image builds and updates. Packer's core value lies in its ability to produce immutable infrastructure, where every server is built from a pre-configured image, leading to faster deployments, easier rollbacks, and improved security posture. It supports a wide range of builders and provisioners, offering flexibility in how images are created and configured.

Pulumi is an infrastructure as code platform that lets you define, deploy, and manage cloud infrastructure using familiar programming languages like TypeScript, Python, Go, and C#.

OpenTaco, formerly Digger, is an open-source, self-hostable CI/CD orchestrator specifically designed for Terraform. It aims to streamline infrastructure as code workflows by automating key processes like state management, PR automation, remote execution, and drift detection. The platform integrates seamlessly with existing CI/CD pipelines, such as GitHub Actions, to provide fast and secure infrastructure orchestration. OpenTaco is built for cloud-native leaders and development teams looking to enhance the efficiency and reliability of their Terraform deployments. It offers features like parallel plan/apply jobs, PR-level locking to prevent stale plans, automated plan previews in pull request comments, and drift detection with alerts to various platforms. Its dynamic project generation caters to large numbers of state files, making it suitable for complex infrastructure setups. The tool emphasizes security with its credentials management, keeping secrets within the same repository.

Trivy is an open-source vulnerability scanner for containers, filesystems, and infrastructure as code. Scan container images for OS and library vulnerabilities. Check Kubernetes manifests and Terraform for misconfigurations. Fast and easy to integrate into CI/CD. Comprehensive database updated regularly. The security scanner DevOps teams actually run.

The Serverless Framework is an open-source framework that helps developers build and deploy serverless applications to AWS Lambda and other cloud providers. It simplifies the process of defining functions and events, deploying infrastructure and code with a single command, and extending functionality with a vast plugin ecosystem. The framework aims to reduce the complexity of serverless development, allowing developers to focus on writing code rather than managing infrastructure. It provides tools for troubleshooting, including metrics, alerts, and request querying, to help monitor and debug serverless applications. The platform also facilitates team collaboration by offering a centralized dashboard to manage applications and resources, securely share secrets and AWS accounts, and share test events for AWS Lambda functions. This makes it suitable for individual developers and teams looking to streamline their serverless development workflow. The Serverless Framework is designed for developers who want to leverage the benefits of serverless architectures, such as high productivity and low overhead, without getting bogged down by intricate cloud configurations. It supports the deployment of APIs, scheduled tasks, workflows, and event-driven applications, making it a versatile tool for various serverless use cases.

Atlantis is a self-hosted application for Terraform pull request automation. Run terraform plan automatically on pull requests and show results as comments. Apply changes through PR approvals for audit trails. Supports multiple workflows and Terraform workspaces. Lock infrastructure to prevent concurrent modifications. GitOps for Terraform that makes infrastructure changes reviewable and auditable.

Flux is GitOps for Kubernetes from the CNCF. Your Git repository defines what runs in your clusters, and Flux makes reality match-continuous deployment that's declarative and auditable. The sync is automatic. Multi-tenancy supports complex environments. Helm and Kustomize are natively supported. Kubernetes teams implementing GitOps choose Flux for declarative, Git-driven cluster management.

Helm manages Kubernetes applications through charts. Package, version, and deploy applications with templates-the package manager for Kubernetes. Charts package application definitions. Releases track deployments. The ecosystem is vast. Kubernetes users consider Helm essential for managing applications with any complexity.

InfrOS is an IT Infrastructure Operating System that intelligently designs, validates, and deploys inherently optimized cloud architectures. It helps organizations define their business needs, priorities, constraints, SLAs, or budget, and then uses an intelligent engine to scan multi-dimensional solution spaces to find the best architecture designs. These designs are then emulated and benchmarked in a sandbox environment to prove optimal performance before deployment. The output is ready-to-deploy Terraform code, complete with documentation and evaluation, ensuring zero technical debt from the outset. The platform is designed for teams struggling with complex cloud migrations, constant re-optimization, and the risk of manual errors and over-provisioning. It caters to various use cases, including AI training platforms, e-commerce, mobile gaming backends, and healthcare SaaS, by providing bespoke solutions. InfrOS aims to simplify cloud management, reduce waste, improve performance, and ensure continuous optimization as business needs evolve, supporting major cloud providers like AWS, Azure, GCP, and hybrid environments.