How to write policies with patterns that scale

The text explores the evolution and complexity of Traffic Policy rules, emphasizing how they have developed to handle intricate business logic by leveraging gateways for tasks such as authentication and security, thus expediting deployment processes. It discusses the importance of understanding phases in the request lifecycle—tcp_connection, on_http_request, and on_http_response—and how rules, expressions, and actions are orchestrated to manage traffic effectively. The document highlights three key patterns for creating robust policies: chaining rules in the correct order, grouping related actions to maintain clarity and predictability, and implementing failovers and catch-all rules to ensure all possible scenarios are addressed. It provides insights into the strategic use of ngrok's Traffic Policy, suggesting ways to optimize policy creation, such as using whitespace and comments for readability, and invites contributions to an example gallery to further illustrate the potential of Traffic Policy in practical applications.

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