The Best Infrastructure Automation Tools in 2025

Infrastructure automation tools are fundamental in contemporary IT environments, where they manage complex systems efficiently. Here, the manual management of IT structures has a greater impact due to the scale and dynamic nature of modern applications and services. 

Automation tools are used to assist with the standardisation and streamlining of tasks such as provisioning, configuration, and monitoring. This contributes to increased operational consistency, which, in turn, reduces errors and improves scalability.

We have compiled this guide to provide our readers with a comprehensive list of infrastructure automation tools for 2025. The focus will be on their functionalities and typical use cases within IT operations. 

Top 8 Infrastructure Automation Tools 

It's time to get a deeper understanding of the primary features and typical environments where these IT infrastructure automation tools are applied. Have a look at the top 8 widely adopted automation tools.

1. Microtica

This infrastructure automation platform incorporates artificial intelligence in order to assist in generating infrastructure configurations based on project requirements. It automates every stage of the infrastructure process, including gathering of requirements, deployment, and ongoing monitoring. 

The AI Infrastructure Builder is a notable feature of Microtica. It is designed to analyze project requirements and generate optimized configurations while aiming to reduce setup time. This may help lower the risk of errors that can occur during manual configuration.

The platform includes a library of prebuilt templates, which allows users to quickly apply established best-practice solutions. The setup process can generate configuration files within minutes. The dashboards provide visibility into the components and their configurations, which can assist teams in managing resources more effectively.

Microtica offers developer self-service capabilities, enabling teams to use infrastructure and applications without requiring deep cloud expertise. Users also receive cost and security recommendations intended to support better resource management and risk reduction.

Microtica's key features are:

• Proactive Monitoring and Alerting: Centralized dashboards for real-time metrics, with automated notifications to address potential issues.
• Unified Environment View: Comprehensive overview of all components, including logs, running pods, alerts, and metrics, in a single interface
• Project Cost Management: Detailed cost analysis per project, enabling informed budgeting and financial planning.
• AI-Powered Infrastructure Builder: Natural language interface to generate production-ready infrastructure as code, tailored to specific requirements
• CI/CD Automation: Automated deployment pipelines triggered by Git commits, ensuring continuous integration and delivery.
• Cost Optimization: AI-driven insights to identify and eliminate cloud resource waste, with features like resource sleep schedules to reduce expenses.
• Multi-Cloud Support: Deployment capabilities across various cloud providers, including AWS, Azure, and Google Cloud.

2. Terraform

Terraform is a tool developed by HashiCorp for automating infrastructure. It uses a declarative configuration language to define infrastructure setups. The tool works with various cloud providers, including AWS, Google Cloud, and Azure, which makes it usable across different platforms.

It uses state files to keep track of resource changes and can generate execution plans that show proposed updates before applying them. Its modular structure allows users to reuse parts of their configurations, which can help with consistency in larger setups.

Terraform's key features are:

• Infrastructure as Code (IaC) – Define and manage infrastructure using declarative configuration files.
• Multi-Cloud Support – Works with major cloud providers like AWS, Azure, Google Cloud, and more.
• Resource Provisioning – Automates the creation, updating, and deletion of infrastructure resources.
• State Management – Keeps track of infrastructure state to ensure consistency across deployments.
• Plan and Apply Workflow – Shows a preview of changes before applying them to prevent errors.

3. Puppet

Puppet is an infrastructure automation tool that applies configurations across multiple servers using a declarative language. It's often used to manage large setups and may help reduce configuration drift.

It includes role-based access control and reporting features that can assist with monitoring and record-keeping.

Puppet's key features are:

• Configuration Management – Automates setup and maintenance of servers and infrastructure.
• Infrastructure as Code (IaC) – Allows defining infrastructure using declarative code.
• Automated Provisioning – Deploys and configures resources automatically across environments.
• Cross-Platform Support – Works on Linux, Windows, and cloud environments.

4. Ansible

Ansible is an automation tool that doesn’t require agents on managed systems, which can simplify deployment. It uses YAML-based playbooks to define tasks in a readable format.

Common uses include configuration management, application deployment, and orchestration. It has a large module library and can be used in various types of environments.

Ansible's key features are:

• Configuration Management – Automates setup, configuration, and maintenance of systems.
• Agentless Architecture – Works over SSH without needing software installed on managed nodes.
• Orchestration – Coordinates multi-step workflows across multiple systems.
• Playbooks – Uses simple, human-readable YAML files to define automation tasks.

5. SaltStack

SaltStack is a tool used for remote execution, configuration management, and event-driven orchestration. Its event system can support real-time responses in some environments.

It is scalable and can manage many nodes. The tool supports both push and pull models, offering different options for running automation tasks.

SaltStack's key features are:

• Configuration Management – Automates setup, configuration, and maintenance of systems.
• Remote Execution – Executes commands across multiple machines simultaneously.
• Orchestration – Coordinates complex workflows and multi-step deployments.
• Scalability – Handles large infrastructures efficiently with a master-minion architecture.

6. Chef

Chef is a tool used to manage infrastructure as code and automate workflows. It uses a Ruby-based language for defining configurations and supports integration with other tools. It includes a collection of reusable cookbooks and is often used in environments that need more customizable automation.

Chef's key features are:

• Policy-Based Management – Ensures systems comply with organizational policies and standards.
• Orchestration – Coordinates complex workflows across multiple nodes and applications.
• Idempotency – Ensures repeated runs produce the same system state without unintended changes.
• Extensible Framework – Supports custom cookbooks, recipes, and integrations

7. Kubernetes

Kubernetes is a container orchestration tool used to automate deployment, scaling, and management of containers. It can adjust resources based on demand. It replaces failed containers to help maintain availability. Its declarative model lets teams define how applications should run, reducing the need for manual changes.

Kubernetes' key features are:

• Container Orchestration – Automates deployment, scaling, and management of containers.
• Self-Healing – Replaces failed containers and restarts them to maintain application availability.
• Automated Scaling – Adjusts resources based on demand using horizontal and vertical scaling.

8. Pulumi

Pulumi is an infrastructure as code (IaC) tool used to automate the provisioning, configuration, and management of cloud resources. It can scale infrastructure dynamically based on application demand. It can replace or update resources automatically to maintain reliability.

Pulumi's key features are:

• Infrastructure as Code (IaC): Define and manage cloud resources using familiar programming languages like Python, TypeScript, Go, and C#.
• Multi-Cloud Support: Work across AWS, Azure, GCP, Kubernetes, and more from a single platform.
• Declarative and Imperative Models: Mix declarative resource definitions with imperative logic for flexibility.
• Automatic Resource Management: Handle creation, updates, and deletion of resources safely.
• Secrets Management: Securely manage sensitive data such as API keys and passwords.

How To Choose the Best Infrastructure Automation Tools

It requires a clear understanding of the business’s needs. Consider whether configuration management, provisioning, orchestration, or monitoring is the primary focus of your project. Scalability is yet another factor to consider when choosing one of the top infrastructure automation tools. Businesses need an automation tool that can grow alongside their infrastructure. 

The team's skill level and ease of use should also be high on the infrastructure automation tools list. Check the integration capabilities essential for compatibility with your existing tools and cloud providers. And lastly, tools with active communities and strong documentation are preferable. They offer ongoing development and better support. 

Factors to Consider When Choosing an Infrastructure Automation Tool

When selecting an infrastructure automation tool, several factors can influence which solution is the best fit for your organization. The tool should work seamlessly with your cloud providers, operating systems, and container platforms to avoid integration issues.

You need to evaluate the ease of use and learning curve. Some tools rely on traditional scripting, while others use declarative or code-driven approaches. Teams with limited experience in automation may benefit from solutions with simpler syntax and comprehensive documentation. Scalability and performance are also of importance. The tool should efficiently manage your infrastructure as it grows, whether you are deploying a few servers or thousands of containers. Look for features like automated scaling, orchestration, and resource optimization.

Another consideration to think about is community support and ecosystem. Popular tools with active communities offer pre-built modules, plugins, and tutorials, which can accelerate implementation and troubleshooting. Automation tools should help enforce policies, track changes, and ensure systems adhere to organizational and regulatory standards. Balancing these factors will help you choose a solution that streamlines operations while supporting your long-term infrastructure goals.

Final Thoughts

Building a reliable and efficient system requires effective infrastructure management. IT teams need infrastructure automation tools to increase efficiency and automate monotonous tasks. While not every tool in this guide will fit into the requirements of every team, it's important to understand their capabilities. Identify gaps, see how these tools can drive innovation, and learn how AI-driven automation can improve the experience.

FAQs

1. Which tool is commonly used for automating infrastructure deployment?

Tools like Microtica, Pulumi, Ansible, and Puppet are commonly used to automate provisioning, configuration, and management of infrastructure across cloud and on-premises environments.

2. Is IaC the same as DevOps?

No, Infrastructure as Code (IaC) is a practice for managing infrastructure through code, while DevOps is a broader culture and methodology that combines development and operations for faster, more reliable software delivery.