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Application Monitoring 101: Queue Time Can Alert Before a Breakdown

Performance

Regular monitoring practices can emphasize application response time, but queue time is also often an early and important warning sign. If it rises, you’ll quickly see downstream effects: tail latency, timeouts, and error spikes. This means that this metric can give you a head start tackling app issues before they become user problems. In this post, we’ll discuss queue time, how things can go off track, and practical steps to turn it around.

Adding FastMCP support to the Scout Python Agent

Engineering Python AI

Scout Senior Developer Quinn walks us through adding FastMCP instrumentation to our Python agent. The Scout MCP server enables Scout users to query their Scout agent about application performance so that the agent can make decisions and fix issues based on that data.

Announcing Scout’s MCP Server for AI-Native Monitoring!

Engineering

We’re excited to introduce the Scout Monitoring MCP Server — a new way to bring AI-native monitoring directly into your coding assistant. Instead of flipping between dashboards and logs, the MCP server surfaces performance data, errors, and slow endpoints right inside your AI tool.

Supporting Justice for Youth: How CASA and Ruby for Good Are Making a Difference

Customer Spotlight

The CASA organizations connect trained volunteer advocates with children in the foster care system. Ruby for Good is a nonprofit, volunteer-driven organization that connects developers with organizations like CASA to create technology to serve the greater good. In this case, the result is a multi-tenant codebase that currently serves multiple active CASA organizations, with the potential to scale across court systems nationwide.