Systems | Development | Analytics | API | Testing

WSO2 Kubernetes Gateway provides a robust, Kubernetes-native platform for managing APIs. It’s purpose-built for cloud-native teams requiring fine-grained control over APIs in modern, distributed environments. With support for microservices architecture, secure ingress, and service discovery, Kubernetes Gateway solves the infrastructure side of the API equation.

We’re at it again, bringing more incremental improvements to Kong Mesh!

When you use loops in Python, there are a lot of times when you don’t just want the item from a list, you also want to know where that item is in the list. For example, going through a list of names and needing to show their position, like “1. Alice”, “2. Bob”, and so on, or you could be building a menu where each option needs a number next to it. In these situations, Python’s enumerate() function is very helpful.

APIs need strong security. They often handle sensitive data like financial records or health information. To protect this data while meeting privacy rules (like GDPR and HIPAA), fine-grained access control (FGAC) is key. FGAC uses OAuth scopes and claims to manage API access.

The era of generative AI is upon us, and large language models (LLMs) like Claude are demonstrating incredible potential to revolutionize how businesses operate and interact with customers. However, to truly unlock this potential, AI needs secure and standardized access to the wealth of information and services locked within enterprise systems. This is where standards such as Model Context Protocol (MCP) come in, offering a powerful way to make enterprise resources AI-consumable.

NGINX One provides a modern solution for enterprises to manage infrastructure at scale across globally distributed systems. The platform has built-in tools for essential performance and uptime metrics, giving DevOps teams visibility into the health of their NGINX instances. But for effective API observability and analytics, you have to go beyond infrastructure metrics.

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.

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.