Vercel has rolled out the AI Gateway for production workloads. The service provides a single API endpoint for accessing a wide range of large language and generative models, aiming to simplify integration and management for developers. The AI Gateway allows applications to send inference requests to multiple model providers through one endpoint. It supports bring-your-own-key authentication, which means developers can use their own API keys from providers such as OpenAI, Anthropic, or Google without paying an additional token markup.
MCP provides a structured interface for tools and AI agents to query observability data, enabling developers to surface traces, metrics, and logs in their IDE without switching context. This high-level capability is designed to streamline debugging and reduce time spent navigating between systems, while also laying the groundwork for consistent access across AI assistants and integrations. Originally launched as an open source project, MCP is now offered by Honeycomb as a managed service.
In modern, distributed systems, that work is harder than ever. Services depend on other services, deployments happen constantly, and small failures ripple into larger ones. While teams scramble to piece things together, customers are already feeling the impact, and the business is losing money by the minute. For years, the industry used $5,600 per minute as the average cost of an outage as was suggested by Gartner in 2014.
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