Your dashboards scream 99.9% uptime. Latency stays well under 200ms. Error rates dwell at zero. These operational metrics look perfectly all right. Yet customer complaints continue to hit all-time highs. Your AI assistant prescribes incorrect medical dosages. Your cloud bill tripled overnight.…
Gartner's strategic planning assumption: by 2029, 50% of software application providers will be forced to share their context layer externally for third-party orchestrators to stay relevant. Today, that number is less than 2%. This isn't a gradual evolution. It's a structural shift in where value…
We have crossed a threshold in the AI economy where the competitive advantage is no longer about access to data — it’s about access to context. The "context economy" has arrived, defined by a fundamental shift from selling data products to selling context products as a service. This is the shift…
When teams resort to VPC peering or PrivateLink to expose Kafka, they're not solving the problem — they're managing it, one network topology decision at a time. Every new external consumer adds complexity: a new peering connection, new firewall rules, new IP space to coordinate, new potential for…
Agents are ultimately decision makers. They make those decisions by combining intelligence with context, ultimately meaning they are only ever as useful as the context they can access. An agent that can't check inventory levels, look up customer history, or verify pricing isn't autonomous — it's…
With Kong Ingress Controller, when your Control Plane was hosted in Kong Konnect, and you were using Kubernetes Gateway API, your dataplane, routes, and services were in read-only mode. When using Kong Ingress Controller with Kubernetes Gateway API, Kubernetes serves as the authoritative source of…
Kong is excited to announce Solace as the newest member of our Premium Technology Partner Program, a program designed to deliver high-quality, reliable integrations that provide real business value for customers. Together, Kong and Solace unify API-driven and real-time data movement into a single,…
In today's digital landscape, APIs are the backbone of modern applications, and AI is the engine of innovation. As organizations increasingly rely on microservices and AI-powered features, the API gateway has become the critical control point for managing traffic. But as LLM/GenAI and MCP requests…
The goal of Integration Platform as a Service (iPaaS) is to simplify how companies connect their applications and data. The promise for the first wave of iPaaS platforms like Mulesoft and Boomi was straightforward: a central platform where APIs, systems, and workflows could be managed together…
MCP servers expose all tools by default. There are two problems with this: security (agents get capabilities they shouldn't have) and performance (too many tools degrade LLM tool selection). The solution? Put a gateway between agents and MCP servers that filters tools based on who's asking. Default…
This is the pitch to the board and the C-suite. It must be brutally concise, focused entirely on your business outcomes, not the technology. If the first page doesn't articulate value, the strategy dies. It immediately frames the initiative in terms of shareholder value and competitive advantage.…
This isn’t just about one pricing change. It’s about a pattern. Some tools promise “free forever” to get you invested, watch you build workflows, and then change the rules. They know you’ve onboarded your teams, documented your APIs, and integrated the tool into your daily work. By the time they…
The Kong MCP Registry acts as a central directory for AI agents and clients to access services that provide context or take action. For AI agents, think of it as a combination of a "Service Catalog" and a "Developer Portal." It offers the metadata, API endpoints, and capability definitions that…
AI spending is exploding across the organization—but often not in the ways leadership approved or finance can track. Development teams spin up LLM connections to ship features faster. Data teams provision GPU clusters for experiments that get abandoned. Multiple teams solve the same problem three…
Let's be honest about what's happening inside most enterprises right now. Development teams are under intense pressure to ship AI features. The mandate from leadership is clear: move fast. And so they do. They spin up LLM connections, integrate third-party AI tools, and route data to models without…
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.