Systems | Development | Analytics | API | Testing

6 Reasons Why Kong Insomnia Is Developers' Preferred API Client

Picture this: you’re in the zone — debugging logic, writing endpoints, testing integrations. But suddenly you’re yanked out of flow: copy pasting cURL commands, flipping between environments, chasing down the right API keys, and juggling half a dozen tools just to make a simple change. It’s clunky and error-prone. And honestly, it’s not what you signed up for.

Intro to Advanced Analytics | Kong Konnect

In this video, Christian Heidenreich, Product Manager for Konnect Analytics, provides a look into Advanced Analytics in Kong Konnect. Advanced Analytics delivers unparalleled insights into your entire API ecosystem with real-time, context-rich data, empowering both technical and non-technical teams to make informed decisions quickly and efficiently.

Custom Dashboards in Kong Konnect | Part 1

From the high-stakes "war room" where you're troubleshooting an outage to the "boardroom" where you're presenting platform growth, API dashboards give you the critical visibility you need. In this demo, we introduce custom dashboards in Kong Konnect. We'll show you how to build a powerful, tailored dashboard from scratch in just a few clicks—without writing a single line of query language. See how our intuitive, user-friendly interface allows anyone on your team, from developers to non-technical leaders, to get the exact data they need.

The Roadmap for Reducing Technical Debt in 2025

Technical debt is a sneaky hang-up that organizations and teams often ignore until it becomes unmanageable. It creeps in slowly, undermines your team’s productivity, and builds up until your product is hard to maintain and scale. Software systems and development cycles are increasingly being driven and supported by AI, continuous delivery, and cloud-native environments, making it critical to adopt a clear strategy for identifying and reducing technical debt.

What is AIOps? Transforming IT Operations with AI

Picture this: It's 3 AM, and your phone erupts with alerts. Within minutes, you're drowning in a tsunami of notifications—hundreds of them—while your company's critical services hang by a thread. Your monitoring dashboard looks like a Christmas tree gone wrong, every light blinking red, and you have no idea where to start. Sound familiar?

How to Build a Multi-LLM AI Agent with Kong AI Gateway and LangGraph

In the last two parts of this series, we discussed How to Strengthen a ReAct AI Agent with Kong AI Gateway and How to Build a Single-LLM AI Agent with Kong AI Gateway and LangGraph. In this third and final part, we're going to evolve the AI Agent with multiple LLMs and Semantic Routing policies across them. In this blog post, we'll also explore new capabilities introduced in Kong AI Gateway 3.11 that support other GenAI infrastructures.

What is an AI Gateway?

Ever wondered what an AI Gateway is? Think of it as an airport for your AI traffic! We break down how an AI Gateway can: Act as a central access point for different AI models. Provide security for your LLM prompts. Route traffic to the best model for the job. Save on AI costs with features like response caching. Learn the basics of this essential tool that helps manage AI and LLM costs, security, and efficiency.

Kong AI Gateway: Prompt Compression

High token consumption from long prompts can degrade model performance and lead to expensive, inefficient LLM operations. This video demonstrates how to solve that problem using Kong's AI Gateway. AI Prompt Compressor Plugin: See how this plugin intelligently compresses incoming prompts before they hit the model. It summarizes context, removes redundant information, and trims excess tokens—all while preserving the original meaning.This could lead to significant cost savings and improved performance.