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UID:pretalx-devconf-us-2026-TJVQWD@pretalx.devconf.info
DTSTART;TZID=EST:20260925T145000
DTEND;TZID=EST:20260925T152500
DESCRIPTION:Performance issues in Go applications often hide in plain sight
 . Your service works fine in development but slows down in production. Mem
 ory usage creeps up over time. API response times degrade under load. With
 out proper profiling\,  you're guessing where the problem is.This talk tea
 ches you how to find and fix performance bottlenecks in Go services using 
 Go's built-in profiling tools. Through live demonstrations and real-world 
 examples\, you'll learn to identify CPU hotspots\, memory leaks\, goroutin
 e\nissues\, and inefficient code patterns.                                
                                                 \n                  \n  Wh
 at you'll learn:                                                          
                                           \n  \n  - How to add profiling t
 o your Go services with minimal code changes                              
                     \n  - Understanding different profile types: CPU\, mem
 ory\, goroutine\, and blocking\n  - Reading and interpreting pprof output 
 and flame graphs                                                          
     \n  - Common performance problems in Go and how to detect them (string
  concatenation\, N+1 queries\,     goroutine leaks\, excessive allocations
 )                                                                         
                        \n  - Using benchmarks to validate your optimizatio
 ns                                                                     \n 
  - When to optimize and when to leave code alone                          
                                              \n                           
                                                                           
                    \n  Live demonstrations include:                       
                                                                    \n     
                                                                           
                                          \n  - Profiling a microservice to
  find CPU bottlenecks                                                     
                \n  - Detecting and fixing memory leaks with heap profiles\
 n  - Identifying goroutine leaks in concurrent code                       
                                                \n  - Comparing performance
  before and after optimization with hard numbers                          
                      \n                                                   
                                                                      \nWhe
 ther you're debugging production issues or improving service efficiency\, 
 this talk gives you practical skills to   make your Go applications faster
  and more reliable. All examples use standard library tools - no external 
 dependencies required.
DTSTAMP:20260727T165015Z
LOCATION:106 (Capacity 45)
SUMMARY:Go Performance Optimization: A Practical Guide to Profiling - Ashu 
 sharma
URL:https://pretalx.devconf.info/devconf-us-2026/talk/TJVQWD/
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