# OMniLeads installation methods {% embed url="" %} OMniLEads Quick Install {% endembed %} ## OMniLeads Install Architecture and Components Before proceeding with the installation, it is recommended to read and understand the section [Architecture and Components](/english/introduction-to-omnileads/architecture-and-components.md) Since the beginning of the Project, the installations have been based on CentOS7 operating systems. However, given its early end-of-life date, the OMniLeads team has worked hard to support modern operating systems such as Ubuntu Server, Debian Server, Rocky Linux, among others. \ \ Following the adoption of Container-based Architectures and fully automated installation methods, IT Administration and Maintenance tasks have been significantly simplified due to the clear abstraction of underlying layer dependencies. \ \ Below we will describe the different scenarios corresponding to drop-down formats. However, more information can be found in the official repository of the project.
* [OMniLeads using Docker](/english/omnileads-installation-methods/deploy-using-docker.md): Allows running the application on a workstation (Mac, Linux, Windows) or a Linux host, with a minimal and functional "all-in-one" configuration. * [OMniLeads with Ansible](/english/omnileads-installation-methods/deploy-with-ansible.md):Under this format, it is possible to manage hundreds of instances in parallel thanks to the advantages of Ansible. Podman allows running the application on any modern Linux operating system . ### --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.omnileads.net/english/omnileads-installation-methods.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.