The Lawrence Berkeley National Laboratory (Berkeley Lab) stands at the forefront of scientific discovery, driving innovations across energy, physics, biology, and computational research. The Materials Project at Berkeley Lab (MP, https://materialsproject.org) is a public initiative supported by funding from the US Department of Energy (DOE) since 2011. The project harnesses the power of supercomputing and state-of-the-art methods to provide open web-based access to computed information on known and predicted materials.

 Over half a million registered users from around the world are heavily using the popular platform and its powerful analysis tools to study and design novel materials. This mission demands an IT infrastructure capable of scaling with evolving requirements while maintaining peak performance, security, and efficiency.

In this session, Dr. Patrick Huck, Senior Computing Engineer (CSE5) at Berkeley Lab shares how the Materials Project transitioned to cloud-native technologies as an important cornerstone of its longevity. He will explore how MP runs a microservices-based network architecture on the AWS cloud, and uses Kong to manage access and control traffic to its services. Using containerized environments in an innovative cloud architecture ensures uninterrupted performance for mission-critical applications.

Attendees will learn about how the Materials Project:
- Implements infrastructure-as-code from the ground up to efficiently use its limited cloud computing and human resources.
- Deploys the Kong API Gateway to manage traffic to containerized microservices on AWS Fargate.
- Has developed a custom Kong plugin connecting sessions to an OAuth proxy server.
- Unifies observability in a cloud environment to quickly identify and resolve issues.


[User Call] Transforming DevOps for Scientific Innovation: Materials Project’s Cloud-Native Journey to 500K Users

Transforming DevOps for Scientific Innovation: Materials Project’s Cloud-Native Journey to 500K Users

Services are the core component of service meshes. But what does it mean to send traffic from a workload to a service?
What is the identity of a service? How does configuration apply to services?
How do services interact when your cluster is multi-zone?
Kong Mesh recently accomplished a major overhaul of its service to make them more intuitive and easier to manage that we want to share.
In this webinar, we’ll cover:
 * What is a service and how do they work in Kong Mesh
 * How can you access a service with instances in multiple zones
 * What kind of load balancing options does Kong Mesh offe

Services, Multizone & Load Balancing: Combining it all Together in Kong Mesh

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Konnect, the robust API management platform, is evolving to embrace the declarative power of Kubernetes. In this demo-driven talk, we’ll delve into how Konnect now leverages Kubernetes as the single source of truth for its configuration, ushering in a new era of simplified API gateway management. See firsthand how this shift enables you to define every aspect of your API infrastructure—from gateways and upstream services to plugins and consumer management—using intuitive Kubernetes manifests. We’ll guide you through the intricacies of declarative API management with Konnect and we’ll demonstrate how to seamlessly integrate your existing Kubernetes-based data planes for centralized control and observability.

[User Call] Konnect Evolved: Declarative API Management in Kubernetes with Kong Gateway Operator

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Konnect Evolved: Declarative API Management in Kubernetes with Kong Gateway Operator

Kong Gateway plugins allow users to implement custom logic in Lua (or other supported languages) that interacts with request and response objects or data streams. This talk will showcase how to efficiently package these plugins as OCI (Docker) images and install them using the Kong Gateway Operator. By automating plugin delivery in this way, the process becomes significantly more scalable, robust, and less error-prone. Attendees will learn practical techniques for streamlining plugin deployment, improving reliability, and reducing operational complexity.

[User Call] Custom Plugin Delivery in Kong Gateway Operator

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Custom Plugin Delivery in Kong Gateway Operator

Discover how the new Terraform provider for Kong Konnect empowers platform teams to automate the deployment of a feature-rich API platform. In this webinar, we’ll walk through a real-world scenario, showing how a fictional organization sets up a federated API platform on Kong Konnect and automates its provisioning process using Terraform. Join us to learn best practices and unleash the full potential of APIOps automation with Kong Konnect and Terraform.

Streamlining APIOps: Automate API Management with Terraform

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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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