InfoWorld’s annual awards recognize the most innovative software development, DevOps, cloud, data management, and AI/ML products on the information technology landscape. We are extremely proud to see Kong Konnect recognized for its role in unifying API and AI connectivity for stronger governance,…
APIs have quietly powered the global shift to an interconnected economy. They’ve served as the data exchange highways behind the seamless experiences we now take for granted — booking a ride, paying a vendor, sending a message, syncing financial records, or stitching together SaaS tools into a…
The challenges of an acquisition frequently appear in a number of critical areas, especially when dealing with a platform as important as Kafka: Many organizations consider maintaining direct integration with their Kafka provider. However, compared to a direct coupling approach, an abstraction…
Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents. LLMs are being deployed, agentic workflows are getting created left and right, and the promises of what this technology…
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In the latest Kong Gateway 3.12 release , announced October 2025, specific MCP capabilities have been released: The Kong AI Gateway sits in between the AI applications we build and the MCP Servers and GenAI models we consume. In fact, the Kong MCP Gateway sits side-by-side with the Kong LLM…
Kong Gateway is an API gateway and a core component of the Kong Konnect platform . Built on a plugin-based extensibility model, it centralizes essential functions such as proxying, routing, load balancing, and health checking, efficiently managing both microservices and traditional API traffic. An…
"To prioritize the safety and security of the ecosystem, Kubernetes SIG Network and the Security Response Committee are announcing the upcoming retirement of Ingress NGINX . Best-effort maintenance will continue until March 2026. Afterward, there will be no further releases, no bugfixes, and no…
Apache Kafka is a distributed, fault-tolerant, high-throughput event-streaming platform. LinkedIn originally developed it to handle massive data pipelines. The Apache Software Foundation now maintains this open-source project. Kafka implements a distributed commit log at its core. Think of an…
The Requirement : Article 10 of the EU AI Act mandates strict data governance for high-risk AI systems. This includes error detection, bias monitoring, and arguably most critically for enterprise use — ensuring that sensitive personal data (PII) is not improperly processed or leaked into public…
A close examination of what really powers the AI prompt unveils two technologies: the large language models (LLMs) that empower agents with intelligence and the ecosystem of MCP tools to deliver capabilities to the agents. While LLMs make your agents smart, it would be hard to provide agents with…
The Gateway Evolution An unoptimized AI inference endpoint can burn through thousands of dollars in minutes. This isn't hyperbole. It's the new reality of artificial intelligence operations. When GPT-4 processes thousands of tokens per request, traditional infrastructure crumbles. The demands are…
By: Abhishek Chauhan and Preesha Gehlot The Session History Plugin extends the Kong AI Gateway with persistent session objects that preserve conversation history across requests using the x-ai-session-id header. By integrating MongoDB for storage and implementing context summarization for efficient…
Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were…
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Data might be the fuel for AI. But APIs are the proper way to package that “fuel” as AI-ready “food” is through the API. AI coding tools can do a lot without APIs, but at some point they’ll need to be able to: . . . and all ideally without the engineer having to…
The solution landscape is complicated by the fact that MCP is still finding its footing, and there are many various OSS projects and vendors that are rapidly shipping “MCP support” in an attempt to take advantage of the hype and attention around MCP. Unfortunately, many early attempts at solutions…
While building a GenAI-powered agent for one of our company websites, I integrated components like LLM APIs, embedding models, and a RAG (Retrieval-Augmented Generation) pipeline. The application was deployed using a Flask API backend and secured with API keys. However, post-deployment, several…
Organizations are gradually realizing that API and AI observability aren't two separate problems; they're intertwined and require unified solutions. Without waiting on engineering, it's hard to answer simple questions like "Who's using my APIs?" or "Which APIs are causing the most issues?" Now…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.