Every enterprise moving AI into production is about to face a familiar problem in an unfamiliar form: the cost explosion, but for LLMs. This is very similar to what happened with cloud. In the early days of cloud, teams spun up infrastructure with no visibility into who was consuming what. Finance…
The microservices revolution promised agility and scalability. Teams could deploy faster, scale independently, and innovate without monolithic constraints. You gain speed and flexibility, but you also multiply trust boundaries, identities, network paths, and policy decisions. Then came AI, and…
Behind every smooth user experience is a maze of APIs quietly handling requests, responses, and data flows. This makes APIs critical connectors that enable applications to communicate and share data seamlessly. When these vital conduits fail, the consequences can be severe—system outages, data…
Modern enterprise architecture faces a three-body problem. Three distinct traffic patterns pull your teams in different directions. External APIs serve mobile apps and partner integrations. Internal microservices communicate within Kubernetes clusters. AI and LLM calls flow to OpenAI, AWS Bedrock,…
AI APIs don't get enough credit for how much weight they're actually carrying. These AI APIs aren't merely technical connectors. They're, in fact, cost drivers and potential revenue engines. And when something goes sideways, they're ground zero. In production, they behave nothing like the…
For enterprise teams evaluating API testing tools like Insomnia and Postman, understanding the real cost is critical. Postman’s recent changes and Insomnia’s alternative approach tell different stories. Let’s dive in. TL;DR: Free collaboration with Postman — a myth On March 1st, 2026, Postman…
Event-driven architectures (EDAs) have pretty quickly transformed from a niche engineering pattern to the all-pervasive central nervous system of the modern enterprise. With Apache Kafka at the helm, enterprises are rapidly shifting gears from synchronous REST APIs to asynchronous event streams to…
AI connectivity is enterprise infrastructure that governs, secures, routes, observes, and optimizes all AI interactions —providing the control layer organizations need to transform experimental AI into production-ready systems. Executive Summary AI adoption has moved past the "honeymoon phase" and…
Last week, Gartner published a report titled MCP Servers Will Fuel the Next AI Revenue Surge — Context as a Service (1) that should be required reading for every enterprise technology leader. Then, Kong CEO Augusto Marietti (Aghi for short) wrote out his thoughts on the subject and why context is…
Today, we’re announcing that Kong has acquired OpenMeter , the open source and SaaS leader for real-time usage metering and billing. OpenMeter’s capabilities will be integrated into Kong Konnect, enabling usage-based pricing, entitlements, and invoicing for APIs, events, and AI workloads. This is a…
Picture this: you’ve spent months building a slick API that developers love, and it’s already humming behind the scenes in production. But every time someone calls your endpoint, what happens? You get an invisible hit across multiple cost centers, including expensive LLMs, without a clear line of…
Happy holidays from the Kong team! Consider this our gift to everyone who's been asked "what's the ROI on AI?" one too many times. The AI boom has a dirty secret: for most enterprises, it's bleeding money. Every LLM call, every agent invocation, every API request that powers your AI products — they…
If your 2026 resolution is to finally get AI costs under control , we've got you covered. Every January, the same resolutions show up: eat better, exercise more, finally learn that language, finally figure out that production use case for AI agents (OK, this one isn’t so typical unless you operate…
See how easily Konnect Metering & Billing transforms API and AI traffic management into new revenue streams. We've talked about why 2026 is the year of AI unit economics . There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science…
TL:DR Imagine 47 million requests hitting your platform last month. Can you prove who made each one—and invoice with confidence? If that question tightens your stomach, you're not alone. Metered billing for APIs promises fair, transparent pricing that scales with customer success. But it only works…