Announcing the GA of Kong Gateway 3.7

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

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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.
- Evolution of Error Handling: Trace our journey from KIC 2.7 to the enhanced capabilities in KIC 3.2, showcasing the iterative improvements along the way.
- Design Decisions and Trade-offs: Gain insights into the thought process, design considerations, and compromises we made while developing this feature.
- Final Design and Functionality: Learn how the Fallback Configuration works in its final form and the benefits it brings to your Kubernetes environments.
- Live Demo: Watch a live demonstration of a real-world scenario utilizing the Fallback Configuration feature, illustrating its practical application and impact.

Join us to discover how Kong Ingress Controller 3.2's Fallback Configuration can help you isolate potential issues in your Kubernetes manifests, ensuring seamless configuration updates without being hindered by a single mistake.

[User Call] Enhancing Resilience: Introducing Fallback Configurations in Kong Ingress Controller 3.2

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Enhancing Resilience: Introducing Fallback Configurations in Kong Ingress Controller 3.2

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.
In this webinar, we'll cover:
* Why do we really need sidecars?
* We've had sidecars forever, but how did they look before Kubernetes v1.29?
* How the new *native sidecars* feature makes everything just work
* A Kong Mesh demo using native sidecars

[User Call] Bringing Kubernetes-native Sidecars to Kong Mesh

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Bringing Kubernetes-native Sidecars to Kong Mesh

The latest release of Kong Gateway 3.7 brings exciting advancements in AI integration and API security. With the general availability of Kong’s AI Gateway, organizations can now securely leverage multiple large language models (LLMs) through a unified API, enabling centralized management, usage visibility, and data protection via a powerful AI firewall. 
Additionally, Kong Gateway 3.7 introduces enhancements to the flexible expressions router, enabling a seamless migration path and improved routing performance. Security features like JWT-secured authorization requests/responses and OAuth 2.0 Demonstrating Proof-of-Possession (DPoP) further fortify APIs against unauthorized access in highly regulated environments. 
Join us as we show you how to unlock the full potential of AI and experience unparalleled API security with Kong Gateway 3.7.



[User Call] Accelerate AI Adoption with Enterprise-Grade Security and Control in Kong Gateway 3.7

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Accelerate AI Adoption with Enterprise-Grade Security and Control in Kong Gateway 3.7

API development is a crucial part of modern application building, but the tooling has often lagged behind, leading to inefficiencies and slow release cycles. Kong Insomnia 9.0 aims to change that by providing a powerful all-in-one platform for designing, testing, mocking, and debugging APIs.

In this webinar, we'll dive deep into the major new features in Insomnia 9.0 that turbocharge API developer workflows:
- Pre-Request Scripting: Write custom JavaScript to modify requests on-the-fly, integrate with 3rd party auth systems, and automate repetitive tasks. Insomnia's scripts are fully compatible with Postman for easy migration.
- API Mocking: Build fully customizable API mocks within Insomnia itself, hosted locally or in Insomnia's cloud. Enable API-driven development by mocking APIs before the backend is built.
- Global Search: Quickly find request collections, mocks, tests and more across all your Insomnia projects and workspaces.
Collaboration Enhancements: An all-new diff viewer, automatic doc pulling, and more smooths the developer collaboration experience.

We'll showcase how these features work with live demos and example use cases. You'll learn tips and best practices for leveraging Insomnia 9.0 to boost productivity, whether you're an individual developer or part of a large team. We'll also cover Insomnia's unique advantages like data locality controls for security/compliance.

Don't miss this opportunity to see how Insomnia 9.0 can streamline and accelerate your API development lifecycle!

[User Call] How to Build Better APIs Faster with Insomnia 9.0

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How to Build Better APIs Faster with Insomnia 9.0

Join us to learn about the AI Gateway concept and explore the rapidly evolving landscape of large language models (LLMs) in modern applications. With the surge of AI providers and the lack of standardization, organizations face significant challenges in adopting and managing AI services effectively. Kong's AI Gateway, built on the proven Kong Gateway platform, addresses these challenges head-on, empowering developers and organizations to harness the power of AI quickly and securely.

We will dive into the key features of the AI Gateway, including:
- Kong AI Proxy: A low-level component that integrates with multiple AI services, normalizing APIs and providing a decoupled "inference" format across various AI products and services. We will showcase its rich analytics capabilities with Datadog and Splunk dashboard demos.
- Kong AI Auxiliary Features: We will explore prompt templating for guided AI usage, prompt protection using regular-expression banning and Azure Content Services integration, and prompt engineering at the gateway level. These features enable conversation steering, context setting, and protection of model usage while aiding beginners and maintaining control over AI usage.
- AI Usage Enhancement: Discover how Kong can leverage AI to enrich existing APIs by transforming, sanitizing, or blocking requests and responses, creating new AI-driven traffic and enhancing API products.

We will demo how the AI Gateway simplifies credential management, enables AI usage observability, and provides governance controls. We will also highlight the ease of integration using Kong's no-code AI Plugins, allowing developers to enhance existing applications without custom code.

Join us to learn how Kong's AI Gateway can accelerate your organization's AI adoption, enhance governance, and unlock new possibilities for your API-driven applications. 


Streamline Your AI Integration: A Deep Dive into Kong AI Gateway

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Prepare to witness the powerhouse of the Kong ecosystem: Kong plugins. - the turbochargers propelling the Kong ecosystem into hyperdrive, offering you unparalleled control over API gateway policies with plug-and-play ease.

In this session, we’re not just scratching the surface - we’re diving deep into the heart of Kong’s plugin architecture. Get ready to grasp the fundamentals of plugin development, testing methodologies that scream efficiency, and the art of automated delivery. You’ll gain insights into the different plugin phases during an API request, learn about unit testing, and discover how to seamlessly install a plugin in Kong Gateway.

But wait, there’s more! We’re not just talking theory here. I’ll also show you a live demo of crafting a custom plugin in Lua and slapping it onto Kong Gateway. Get ready to harness the true potential of Kong plugins!

Kong Plugins Unleashed: A Tech Odyssey into API Mastery

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Kong Gateway 3.6 delivers a variety of new capabilities, enhanced UX and a brand new feature that we can't talk about yet. There are new Consumer Group capabilities, increased security when working with Hashicorp Vault or OpenID Connect, and there will even be a live demo of the brand new feature.
Join Michael Heap (Sr Director of Developer Experience) and Veena Rajarathna (Staff Product Manager) as they walk you through what's new in the 3.6 release. You don’t want to miss this session!


[User Call] What’s New in Kong Gateway 3.6 

What’s New in Kong Gateway 3.6 

Kong Mesh is an enterprise-grade service mesh built on top of Kuma, an open-source CNCF project. Kong Mesh provides traffic control, observability, and security for complex microservices architectures.

One of the strengths of Kong Mesh is its multi-cluster capabilities and ease of use. In this webinar, we’ll show how to configure a highly available setup from scratch by leveraging Kong Mesh policies to achieve automatic failover across clusters. If there is a failure in one cluster, Kong Mesh will automatically route traffic to another available cluster without dropping requests.We will observe all of this from one place using our OpenTelemetry plugin. 

We will visualize the automatic failover behavior and monitor application metrics to showcase how Kong Mesh handles observability within a complex multi-cluster architecture.

[User Call] Multi-Cluster Failover and Observability with Kong Mesh

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Multi-Cluster Failover and Observability with Kong Mesh

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Kong Gateway 3.5 Updates & WASM Support

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Painless Kong Gateway Upgrades on Kubernetes with the Kong Gateway Operator

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What’s New in Kong Konnect - Unified Control for APIs

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