Is your company's AI budget normal?
Wondering if your company's AI budget is normal? New research shows you're not overspending—everyone is doubling down on AI. Key stats.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Understanding AI Observability: Improve Efficiency, Security & Costs
In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.
5 Steps to Immediately Reduce Kafka Cost and Complexity
Kafka delivers massive value for real-time businesses — but that value comes at a cost. As usage grows, so does complexity: more clusters, more topics, more partitions, more ACLs, more custom tooling. But it doesn’t have to be that way. If your team is managing Kafka at scale, here are five concrete steps you can take to immediately reduce cost and operational complexity — without sacrificing performance.
No more cloud vendor lock-in
Stop getting locked into a single cloud provider like AWS, Azure, or Google Cloud. Kong's dedicated cloud gateways offer multi-cloud flexibility, allowing you to.
How to Troubleshoot API Latency in Kong Gateway with Active Tracing
Stop spending hours debugging API performance issues. This video introduces Active Tracing in Kong Gateway, a feature designed to help you instantly identify bottlenecks and troubleshoot delays in your traffic. You'll learn how to: Initiate an Active Tracing session to capture detailed request and response traces.
Kong Mesh 2.11: Reduced Privileges, Improved Support for AWS ECS
We’re at it again, bringing more incremental improvements to Kong Mesh!
Kong's Dedicated Cloud Gateways: A Deep Dive
In case you missed it, we recently made a big announcement around beta GCP support for Kong’s Dedicated Cloud Gateways (DCGWs). There’s a lot of good stuff in there, but TL;DR DCGWs now support all three of the major cloud service providers (CSPs): AWS, Azure, and GCP at a 99.95% SLA with support for over 25 regions around the globe. Being the first API management vendor to support managed gateway deployments with all three CSPs has a lot of folks excited, for obvious reasons.
72% Say Enterprise GenAI Spending Going Up in 2025, Study Finds
Enterprise adoption of large language models (LLMs) is surging. According to Gartner, more than 80% of enterprises will have deployed generative AI (GenAI) applications or used GenAI APIs by 2026, up from just 5% in 2023. That stark increase paints a telling picture: LLMs have evolved from a fringe technology to a cornerstone of business development and productivity. But as with any new technology, competition is fierce.
How to ensure your AI projects are production ready
Join Kong HQ for an insightful LinkedIn Live session titled "How to Ensure Your AI Projects Are Production Ready." As AI continues to transform industries, moving from experimentation to deployment is one of the biggest challenges organizations face. In this session, our experts will dive into what it truly means for an AI project to be "production ready," discussing essential practices around scalability, reliability, governance, and observability.
API Developer Day with Kong Insomnia and Kong Konnect
Build, run, discover, and govern your APIs as part of an automated pipeline Insomnia isn't just a powerful API client — it's a part of the larger Kong Konnect platform for managing the overall lifecycle of your APIs: build, run, discover, and govern. During this event, we’ll utilize a design first approach to building a REST API. We’ll leverage Kong Insomnia to design and test this API and then use Kong Konnect to secure and expose this API for consumption. Finally, we’ll follow APIops best practices and implement end-to-end automation over the entire API lifecycle.