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The AI Gateway Pattern: Adopt AI and Multi-LLM Strategies in a Secure and Governable Way

The AI Gateway Pattern enables organizations to adopt and securely govern AI technologies like large language models (LLMs) at scale. Acting as a centralized control plane, it streamlines data flow into AI models, ensures proper data handling and compliance, and simplifies the management of multiple LLMs. This architectural pattern empowers organizations to leverage AI’s strengths while mitigating risks, maintaining performance, and adapting to evolving technologies.

The Most Prevalent Code Flaws in API Development and How Hackers Exploit Them

- The wide adoption of cloud-native and microservice-based applications to connect applications, data, and devices across the enterprise has led to an exponential growth in APIs. But as the API ecosystem grows, so does the risk of exposing sensitive data. APIs get directly to critical and sensitive data, making them a valuable target for hackers. How can you ensure your APIs are protected from malicious attacks and unauthorized access?

Kong Konnect Demo: Revolutionize Your API Management with a Unified Cloud-Native Platform

Kong Konnect Demo: Revolutionize Your API Management with a Unified Cloud-Native Platform In this video, Vice President Product Management, Ross Kukulinski showcases how Kong Konnect addresses the challenges of API security, multi-cloud deployments, and AI workload governance. Kong Konnect is one platform to manage them all in one unified control plane: API gateways, AI gateways, ingress, and service meshes.

How to Quickly Deploy Kong Gateways in Konnect Docker, Serverless, and Kubernetes

How to Quickly Deploy Kong Gateways in Konnect Docker, Serverless, and Kubernetes In this video, Senior Director, Developer Relations, Michael Heap, walks through three efficient ways to deploy Kong Gateway with Konnect. Learn how to get started with Kong Gateway using Docker on your local machine, how to make your gateway publicly accessible using a Serverless Gateway, and how to set up a production deployment on Kubernetes (Amazon EKS).

Enhancing Resilience: Introducing Fallback Configurations in Kong Ingress Controller 3.2

As Kong Ingress Controller is used widely in the field, ensuring its reliable and resilient error handling is crucial to us. Kong Ingress Controller 3.2 introduces a Fallback Configuration feature, designed to make sure a single mistake made in your manifests doesn't halt the whole configuration update pipeline. In this User Call, we'll cover: The Need for the Feature: Understand the critical scenarios that highlighted the necessity for improved error-handling mechanisms.

Meet Kong Konnect, Your API Command Center

Build new products faster, improve security, and reduce costs with Kong Konnect. Kong Konnect is one platform to manage them all in one unified control plane: API gateways, AI gateways, ingress, and service meshes. So you can move fast without losing control. That means scaling up to meet demand — and exceeding customer expectations with superior digital experiences. Deployed as a hybrid or a fully managed service, Kong Konnect automates security, federates governance, and lets you adopt AI faster with multi-LLM support.

Bringing Kubernetes-native Sidecars to Kong Mesh

If you're keeping an eye on the service mesh ecosystem, you may have heard a lot of debate about sidecars. Up until recently, there have been some real pain points with sidecars in Kubernetes. As surprising as it sounds, there was actually no real concept of a sidecar at all. With Kubernetes v1.29, a number of those points have been solved with the release of the native sidecars feature. Kong Mesh's most recent release v2.7 adds support for this game-changing feature.