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Guides

  • Installation
  • PCP Quick Reference Guide
  • Introduction
  • Installation
  • System Level Performance Monitoring
  • Process Level Performance Monitoring
  • Performance Metrics Inference
  • Fast, Scalable Time Series Querying
  • PCP Web Services
  • Derived Metrics
  • Customizing and Extending PCP
  • Additional Information
  • Quick Guides
  • User’s and Administrator’s Guide
  • Programmer’s Guide
  • Building PCP with Nix
  • Scaling Guidelines
  • REST API Specification

Quick Guides

  • 1. List the available performance metrics
  • 2. Add new metrics to the available set
  • 3. Record metrics on my local system
  • 4. Record metrics from a remote system
  • 5. Graph a performance metric
  • 6. Automate performance problem detection
  • 7. Setup automated rules to write to the system log
  • 8. Record historical values for use with the pcp-dstat tool
  • 9. Export metric values in a comma-separated format
  • 10. Using Charts
  • 11. Managing Archive
  • 12. Automated Reasoning with pmie
  • 13. Configuring Automated Reasoning
  • 14. Analyzing Linux Containers
  • 15. Establishing Secure Connections
  • 16. Setup Authenticated Connections
  • 17. Importing data and creating PCP archives
  • 18. Using 3D views
  • 19. Compare Archives and Report Significant Differences

User's and Administrator's Guide

  • 1. Introduction to PCP
  • 2. Installing and Configuring Performance Co-Pilot
  • 3. Common Conventions and Arguments
  • 4. Monitoring System Performance
  • 5. Performance Metrics Inference Engine
  • 6. Archive Logging
  • 7. Performance Co-Pilot Deployment Strategies
  • 8. Customizing and Extending PCP Services
  • 9. Fast, Scalable Time Series Querying - pmseries

Programmer's Guide

  • 1. Programming Performance Co-Pilot
  • 2. Writing A PMDA
  • 3. PMAPI–The Performance Metrics API
  • 4. Instrumenting Applications
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