You Might Be Doing API-First Wrong, New Analyst Research Suggests

Ever feel like you're fighting an uphill battle with your API strategy? You're building APIs faster than ever, but somehow everything feels harder. Wasn’t API-first supposed to make all this easier? Well, you're not alone. And now industry analys
Announcing terraform-provider-konnect v3

It’s been almost a year since we released our Konnect Terraform provider . In that time we’ve seen over 300,000 installs, have 1.7 times as many resources available, and have expanded the provider to include data sources to enable federated managem
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 Agen
72% Say Enterprise GenAI Spending Going Up in 2025, Study Finds

Survey Says: Google LLMs See Usage Surge, Most OK with DeepSeek in the Workplace Enterprise adoption of large language models (LLMs) is surging. According to Gartner , more than 80% of enterprises will have deployed generative AI (GenAI) applicatio
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 tea
Is Ambient Mesh the Future of Service Mesh?

A Practical Look at When (and When Not) to Use Ambient Mesh The word on the street is that ambient mesh is the obvious evolution of service mesh technology — leaner, simpler, and less resource-intensive. But while ambient mesh is an exciting develop
How to Create a Platform Cross-Charging Model (and Why Not To Do It)

I'm commonly asked by customers for advice on how they can build a good platform cross-charging model for their organization. And my gut reaction is nearly always "don't." We'll come back to why I think that later, but first let's look at what cross