- Introduction
    - [[Welcome]]
    - [[What you should know]]
  - Approaching Efficiency
    - [[Clearing up the misconceptions]]
    - [[Rule 1 - Code efficiency]]
    - [[The first rule applied to new code]]
    - [[Rule 2 - You don't know the problem]]
    - [[Areas of efficiency]]
    - [[Rule 3 - Understand what's under your control]]
    - [[Rule 4 - Always look for the easy win]]
    - [[Embrace your constraints]]
    - [[Areas not covered]]
  - Measurement
    - [[Code analysis tools]]
    - [[General monitoring tools]]
    - [[Detailed monitoring tools - Mac]]
    - [[Detailed monitoring tools - PC]]
    - [[Overview of developer-focused tools]]
    - [[Web application tools]]
  - Memory
    - [[Core concepts of memory usage]]
    - [[The memory footprint of an application]]
    - [[Strategies for memory efficiency]]
    - [[Languages and environment issues]]
  - Algorithmic Efficiency
    - [[Introduction to algorithmic efficiency]]
    - [[Basic measurement]]
    - [[Low-tech tracing and profiling]]
    - [[Example - Tracing and profiling in JavaScript]]
    - [[Example - Tracing and performance counters in .NET]]
    - [[Introduction to Big O complexity]]
    - [[What to look for in code]]
  - Disk-Based and Network Resources
    - [[Disk-based resources]]
    - [[Speed expectations]]
    - [[Strategies for disk I/O]]
    - [[Network efficiency]]
    - [[Strategies for network efficiency]]
    - [[What about database efficiency?]]
  - Conclusion
    - [[Next steps]]