Redirectit

Redirectit is a software platform designed to manage and apply URL redirection rules for websites and applications. It provides a centralized engine for creating, testing, and deploying HTTP redirects, with support for common codes such as 301, 302, 307, and 308, and for handling complex redirect policies across domains, paths, and APIs. The goal is to ensure consistent redirect behavior during site updates, migrations, and growth, while supporting search engine optimization and user experience goals.

Key features include a rule-based redirect engine with path-based, domain-based, and wildcard matching, along with regular expression support. It offers a multi-tenant web console with change history, audit logs, and role-based access control, as well as versioned configurations, preview environments, and safe commit workflows. The platform integrates with popular web servers and content delivery networks, enabling either generated server configurations or dynamic runtime redirects. Observability tools such as metrics, logs, and alerts help operators monitor performance and detect misconfigurations. Additional support for caching, TTL handling, and SEO-friendly practices helps preserve link equity and minimize redirect chains.

Architecture and deployment: Redirectit is designed to be deployed on-premises or as a cloud service. It exposes a REST API and webhooks for automation and integrates with existing CI/CD pipelines. The system is built with a modular design to accommodate new backends, data stores, or delivery providers, and emphasizes security, scalability, and reliability in multi-site environments.

History and reception: The project originated in 2019 as an internal utility and was released as an open-source project in 2020. It has since gathered contributions from a community of developers and found adoption among mid-sized organizations that require centralized management of complex redirects. Users generally cite practicality and clarity in managing redirects, while noting the need to monitor for performance at very large scales and to avoid misconfigurations.