With the rise of Infrastructure-as-Code tools for provisioning infrastructure (such as Terraform), and Orchestration tools for running containers (such as Kubernetes), the need for Configuration Management decreased as it was used mostly to configure Operating Systems and provision resources.

However, there are still use-cases where companies manage the servers' Operating System directly, and they do so using Configuration Management tools.

A number of examples where managing the servers directly is required:

1. Bare-Metal or On-Premise servers
   Can't provision infrastructure using Infrastructure-as-Code tools (such as Terraform), and can't use fully-managed services for orchestration such as Kubernetes.
   In such cases Configuration Management tools will be used to manage groups of servers, install the applications' dependencies & configuration, and perhaps even install an orchestration tool such as Kubernetes.
2. Specific system requirements
   A given company might choose not to use an orchestration tool as a result of specific system requirements.
   An example would be a company that provides an SDK that communicates with the company's servers, and is implemented in clients' apps and systems, with a requirement by the clients that the SDK takes less than 5ms to respond.
   In that case the networking toll orchestration systems like Kubernetes have on every request will be unacceptable, and so that company will be forced to optimize for a very simple network topology with minimal "hops" between different parts of the system.

There is also the case where companies started with Configuration Management as their main way of building a platform for the developers, and the coupling to the Configuration Management tool became too complicated to be worth "untangling" in the short-term or even mid-term.

• Automation of Infrastructure: Streamlines the configuration and management of IT infrastructure.
• Continuous Delivery: Supports efficient continuous integration and deployment workflows.
• Compliance and Security: Ensures adherence to compliance standards and enhances security.
• Scalable Operations: Efficiently manages large-scale, complex, and diverse environments.
• Multi-Platform Support: Offers compatibility across various operating systems and cloud environments.
• Code-Driven Approach: Utilizes code for infrastructure management, enabling version control and repeatability.
• Efficient Resource Management: Optimizes resource usage and management across the infrastructure.
• Customizable Recipes: Allows creation of custom recipes to automate specific tasks.
• Integration with DevOps Tools: Seamlessly integrates with a range of DevOps and cloud management tools.
• Real-Time Data and Reporting: Provides real-time insights for improved decision-making and troubleshooting.