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Centralizing Policy Enforcement Across APIs and Microservices with Kong

Event Ended

See how Kong can be used to centralize and consistently enforce policies like caching and rate limiting across microservices and APIs by applying plugins globally or at different levels.

Understanding Kong's Policy Enforcement Capabilities

Kong's policy enforcement capabilities provide a powerful mechanism for managing and securing APIs and microservices at scale. These capabilities offer several key advantages:

  • Centralized Control: Kong acts as a central point for defining and enforcing policies across your entire API ecosystem, ensuring consistency and reducing management overhead.
  • Plugin Architecture: Kong's extensible plugin system allows for easy implementation of various policies, including authentication, rate limiting, caching, and more.
  • Hierarchical Policy Application: Policies can be applied at multiple levels - globally, per service, per route, or even per consumer - offering granular control over policy enforcement.
  • Dynamic Configuration: Policies can be updated and applied in real-time without service interruption, allowing for agile policy management.
  • Wide Range of Policies: Kong supports a diverse set of policies out-of-the-box, including: Rate limiting to prevent API abuse, Caching to improve performance, Authentication and authorization, Request/response transformation and Logging and monitoring
  • Custom Policy Creation: Beyond pre-built plugins, Kong allows for the development of custom policies to meet specific organizational needs.
  • Consistent Enforcement: Once defined, policies are consistently enforced across all services, eliminating discrepancies that can arise from service-specific implementations.
  • Scalability: Kong's policy enforcement scales effortlessly with your API infrastructure, maintaining performance even as the number of services and requests grows.

By leveraging Kong's policy enforcement capabilities, organizations can ensure that all their APIs and microservices adhere to security, performance, and governance standards without burdening individual development teams with implementation details.