Kong is very easy to get up and running: start an instance, configure a service, configure a route pointing to the service, and off it goes routing requests, applying any plugins you enable along the way. But Kong can do a lot more than connecting clients to services via routes. In this talk from Kong Summit, you’ll learn about Kong’s various routing capabilities, including load balancing via upstreams and targets, different hashing modes, health checks and circuit breakers (and how to combine them), controlling routing via plugins and more.
Sign up to receive updates and watch the presentations on the Kong Summit page. We'd love to see you in 2019!
We're pleased to announce the launch of Standard Webhooks! Kong has been part of the Technical Committee of this standard with other great companies like Svix (the initiator of the project), Ngrok, Zapier, Twillio, Lob, Mux, and Supabase. This was
There are many different ways to deploy Kong Gateway. In this post, Viktor Gamov (Principal Developer Advocate at Kong) walks through the four most popular ways. Depending on your particular use case, you may find that one or more of these is a goo
There are many pros and cons for both GraphQL and REST APIs, but one of the areas where GraphQL really shines is API composition. Taking data from multiple APIs and combining them to make something new is a key part of delivering a useful service.
Kong Enterprise provides customers with the fastest, most scalable and flexible API management solution in the market. One of Kong's main advantages is the ability to quickly deploy and integrate with a customer's ecosystem of already-deployed solut
APIs have quietly powered the global shift to an interconnected economy. They’ve served as the data exchange highways behind the seamless experiences we now take for granted — booking a ride, paying a vendor, sending a message, syncing financial rec
The numbers tell a compelling story. While 65% of organizations that use APIs are currently generating revenue from them, a significant gap exists between API adoption and AI readiness. 83.2% of respondents have adopted some level of an API-first ap
🚧 The challenge: Scaling GenAI with governance While building a GenAI-powered agent for one of our company websites, I integrated components like LLM APIs, embedding models, and a RAG (Retrieval-Augmented Generation) pipeline. The application was d
