Chapter 18 Exercises

These exercises help you apply operations and monitoring patterns for production MCP servers.

AI-Guided Exercises

The following exercises are designed for AI-guided learning. Use an AI assistant with the course MCP server to get personalized guidance, hints, and feedback.

  1. Performance Load Testing ⭐⭐⭐ Advanced (60 min)

    • Run cargo pmcp loadtest against a local MCP server
    • Configure concurrency levels and duration parameters
    • Interpret the latency histogram and throughput results
    • Identify bottlenecks and apply optimization techniques from Ch 18-03

  2. Dashboard and Alerting Setup ⭐⭐ Intermediate (45 min)

    • Configure pmcp.run dashboard for a deployed server
    • Set up alerting rules for error rate and latency thresholds
    • Create a runbook for common alert scenarios
    • Practice incident response using the observability tools from Ch 18-01 and Ch 18-02

Prerequisites

Before starting these exercises, ensure you have:

  • Completed the observability chapters (Ch 17-18)
  • A running MCP server (local or deployed) to test against
  • Familiarity with cargo pmcp CLI commands

Next Steps

After completing these exercises, continue to Chapter 19: Server Composition.