Systems | Development | Analytics | API | Testing

Streamlining API Management at Scale: Kong Konnect Meets Terraform

Simplify and automate your API platform management across multiple clouds using infrastructure-as-code! In this insightful demo, learn how Kong Konnect and Terraform together enable rapid, scalable, and consistent deployment of your APIs. You'll discover how to: Deploy dedicated Kong API gateways across AWS, Azure, and GCP effortlessly Manage APIs and governance policies centrally using Terraform Eliminate configuration drift and compliance risks through automation.

Implementing OpenTelemetry Observability with Kong Konnect & Dynatrace

Observability has become critical to ensuring the effective monitoring of application and system performance and health. It focuses on understanding a system’s internal state by analyzing the data it produces in the context of real-time events and actions across the infrastructure. Unlike traditional monitoring, which mainly notifies you when issues arise, observability offers the tools and insights needed to determine not only that a problem exists but also its root cause.

G2 Ranks Kong #1 for API Management and API Development

Kong is ranked number 1 on the G2 Momentum Grids for API Management and API Development for Spring 2025. And users seem to agree with the glowing assessment: Kong is currently the highest-rated tool based on user satisfaction in the categories of API Management and API Development on G2. We think there are plenty of reasons why Kong is king when it comes to API management and API development. But don't just take our word for it.

API and Data Security: Is It Time to Switch to Kong Insomnia?

Recent leaks have once again brought API and data security concerns into the spotlight. Specifically, the leaks pointed at the following as major areas to consider when thinking through your API and data security strategies: When considering the above, it’s critical to think about best practices across every stage of the API lifecycle, starting with the initial phases of API design and testing.

Tracing, Logging, Metrics: Unifying Observability with OpenTelemetry

Software development has always evolved with new paradigms to meet the growing demands of modern systems. One of the most significant shifts has been the adoption of microservices. Emerging in the early 2010s, this architectural pattern moved away from monolithic applications in favor of smaller, independent services that interact with each other over a network.

Kong Gateway Operator & AI Gateway Workshop: From Traditional Workloads to GenAI

Elevate your infrastructure management with this two-hour workshop series to get hands-on experience with the Kong Gateway Operator and Kong AI Gateway. Begin with mastering Kubernetes ingress automation through the Kong Gateway Operator, then advance to building secure AI infrastructure with Kong AI Gateway. This comprehensive session equips you with practical skills for both traditional application deployment and cutting-edge GenAI implementation—all within the Kong ecosystem.

PII Sanitization Needed for LLMs and Agentic AI is Now Easier to Build

The excitement around large language models (LLMs) and agentic AI is justified. These systems can summarize, generate, reason, and even take actions across APIs — all with minimal human input. However, as enterprises race to integrate LLMs into real-world workflows — especially when those enterprises operate in regulated environments and/or deal in sensitive data — one fundamental question looms large.

Consistently Hallucination-Proof Your LLMs with Automated RAG

AI is quickly transforming the way businesses operate, turning what was once futuristic into everyday reality. However, we're still in the early innings of AI, and there are still several key limitations with AI that organizations should remain aware of to ensure that AI is being leveraged in a safe and productive way.

Introducing Kong's New MCP Server to Access Your API System of Record

MCP is a new way to integrate LLMs and AI agents with third-party data sources and APIs. It significantly improves how we build tool integrations by eliminating duplicated code and providing a centralized interface for multiple agents to access shared tools. Today, we’re excited to announce the release of Kong’s MCP Server for the Kong Konnect platform. This empowers customers to integrate AI agents and query LLMs to discover APIs, services, and traffic analytics in real time.