Talk tech with tips and tutorials from builders at Kong and the Kong Community.
Organizations are going all-in on large language models (LLMs), with research finding 72% anticipate increased LLM spending in the coming year (and about 40% are already investing more than $250,000 USD per year). As enterprises rapidly adopt LLMs to transform customer experiences, automate…
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…
In my previous post, we discussed how we can implement a basic AI Agent with Kong AI Gateway. In part two of this series, we're going to review LangGraph fundamentals, rewrite the AI Agent and explore how Kong AI Gateway can be used to protect an LLM infrastructure as well as external functions.…
This is part one of a series exploring how Kong AI Gateway can be used in an AI Agent development with LangGraph. The series comprises three parts: Basic ReAct AI Agent with Kong AI Gateway Single LLM ReAct AI Agent with Kong AI Gateway and LangGraph Multi-LLM ReAct AI Agent and LangGraph Server…
What Is RAG, and Why Should You Use It? RAG (Retrieval-Augmented Generation) is not a new concept in AI, and unsurprisingly, when talking to companies, everyone seems to have their own interpretation of how to implement it. So, let’s start with a refresher. RAG (short for Retrieval-Augmented Gener…
In February 2024, Kong became the first API platform to launch a dedicated AI gateway, designed to bring production-grade performance, observability, and policy enforcement to GenAI workloads. At its core, Kong’s AI Gateway provides a universal API to enable platform teams to centrally secure and…
This started as an internal experiment to explore how AI could assist with API design, using similar standards to what Kong R&D applies to our own API design. It turned out to be useful enough that we decided to share it more broadly. Now it’s live at create-api.dev. No login. No setup. Just…
As organizations continue to adopt AI-driven applications, managing usage and costs becomes more critical. Large language models (LLMs), such as those provided by OpenAI, Google, Anthropic, and Mistral, can incur significant expenses when overused. This blog will explore how you can streamline your…
Kong has supported Redis since its early versions. In fact, the integration between Kong Gateway and Redis is a powerful combination to enhance API management. We can summarize the integration points and use cases of Kong and Redis into three main groups: For all use cases, Kong supports multiple…
Open source software has become an indispensable component of modern software development. With its easy accessibility, it offers numerous benefits such as cost savings, flexibility, and collaborative innovation. Since the use of open source components has become so mainstream, it poses some unique…
In the SaaS world, providers must offer tenant isolations for their customers and their data. This is a key requirement when offering services at scale. At Kong, we've invested a lot of time to provide a scalable and seamless approach for developers to avoid introducing breaches in our systems. In…
Imagine a world where you could deploy your API gateways across any cloud, enforce enterprise-grade policies, and meet compliance standards all within a single Terraform apply. Most teams think about infrastructure as code only in terms of spinning up VMs, networking components, databases, or maybe…
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…
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,…
Understanding and monitoring the performance and health of applications and systems is critical. This is where observability comes into play. Observability is about gaining a comprehensive understanding of a system's internal state by analyzing the data it generates within the context of real-time…