Nano vs Spanly

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you...

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.

About Spanly

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run. That's how it can tell you a tool name is why agents pick the wrong tool, or a schema is why they pass bad arguments, not just that p95 moved. Health monitors connect to your MCP servers on a schedule, list their tools, prompts and resources, and alert your channels when a server goes down.