Back tostdlib
Activity

System performance analytics

Implement comprehensive monitoring and analysis of system performance

Develop a holistic approach to understanding and optimizing system performance through data collection, analysis, and visualization.

105 minutes
analysis

Overview

Develop a holistic approach to understanding and optimizing system performance through data collection, analysis, and visualization.

Learning objectives

  • Identify critical performance metrics
  • Set up monitoring infrastructure
  • Create performance baselines
  • Develop optimization strategies

Instructions

Build a comprehensive system for tracking and improving application performance.

Steps

1

Map architecture

25 minutes

Map system architecture and bottlenecks

2

Define SLOs

20 minutes

Define performance SLIs and SLOs

3

Implement monitoring

30 minutes

Implement monitoring and alerting

4

Create dashboards

20 minutes

Create performance dashboards

5

Document playbooks

10 minutes

Document optimization playbooks

Pro tips

  • Monitor end-to-end user experiences
  • Track both technical and business metrics
  • Use percentiles not just averages
  • Correlate performance with business outcomes

Example outcome

A comprehensive performance monitoring system with real-time dashboards, automated alerting, and clear optimization paths.

Explore more resources

Check out the full stdlib collection for more frameworks, templates, and guides to accelerate your technical leadership journey.

System performance analytics | stdlib | Andrew Murphy