Systems | Development | Analytics | API | Testing

New Enhancements to Konnect to Fuel API-Driven Innovation

APIs are the lifeblood of disruption. . . when leveraged correctly. The best, most disruptive businesses are able to harness API growth as a strategic opportunity. But how? With an API platform that drives innovation, faster delivery, and top-tier customer experiences alongside a top-notch developer experience. To that end, the Kong Konnect team has been busy executing against these goals in the new year.

What is Docs as Code? Your Guide to Modern Technical Documentation

If you take a step back and think about today’s software development landscape, you could argue that documentation is just as important as the code itself. That’s because traditional documentation workflows — where documentation is manually updated, stored separately from code, and thus often falls out of sync — have started slowing teams down and leading to outdated or inconsistent information.

What Is RAG? Guide to Retrieval-Augmented Generation in AI

When was the last time your AI assistant confused a memo from the CEO with 'Game of Thrones' plot lines? Have you ever asked a chatbot a question, only to receive an answer that was not only wrong but hilariously outdated? Imagine asking about the latest iPhone model and getting a response detailing the iPhone 3G. We've all had moments where technology gives us a chuckle—until it's crunch time.

What is RBAC? The Basics of Role-Based Access Control

As cybersecurity takes the main stage, organizations face a significant challenge: how do you strike a balance between maintaining a high level of security and ensuring employees have enough data access to perform their jobs properly? Role-based access control (RBAC) is a solution that can support both of these goals, even as organizations are quickly scaling.

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.

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.