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Deep Dive: Open Policy Agent - Torin Sandall, Styra
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Deep Dive: Open Policy Agent - Torin Sandall, Styra
As OPA adoption has grown, it has been applied to a variety of use cases like microservice API authorization, admission control, risk management, and more. In each case, OPA is used to render a definitive decision policy decision that is represented as a JSON value like "true" or "false". Earlier this year we added Partial Evaluation which gives OPA the ability to return conditional policy decisions in the form of simplified policy statements. This session explains how Partial Evaluation works and how you can integrate it into your services. The session is aimed at existing users (or people already familiar with OPA) who are interested in applying OPA to new usecases like data filtering and end-user authorization.
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