Performance Optimization

Coming Soon

This lesson will teach you how to profile and optimize your chat server for maximum performance. You’ll learn how to:

• Profile Erlang applications to identify bottlenecks
• Optimize memory usage and garbage collection
• Improve message passing and process efficiency
• Implement caching strategies for better performance
• Load test and benchmark your optimizations

What You’ll Build

By the end of this lesson, you’ll have implemented:

• Performance profiling and benchmarking tools
• Memory optimization and garbage collection tuning
• Message passing optimization strategies
• Caching layers for frequently accessed data
• Load testing framework with performance metrics

Key Concepts Preview

% Profiling with fprof
fprof:start(),
fprof:apply(chat_server, handle_message, [Message]),
fprof:profile(),
fprof:analyse().

% Memory optimization
erlang:system_flag(min_heap_size, 1024),
erlang:system_flag(min_bin_vheap_size, 1024).

% ETS caching
ets:new(message_cache, [named_table, public, {read_concurrency, true}]).

This lesson builds on the monitoring from Lesson 22 and prepares you for the database integration we’ll explore in Lesson 24.

This lesson is currently under development. Check back soon for the complete content!