

Foundations of Go performance
5 snips Feb 20, 2024
Miriah Peterson and Bryan Boreham share insights on optimizing Go program performance by discussing profiling, resource constraints, CPU and I/O efficiency, code optimization, memory allocation, and the impact of garbage collection. They also touch on transitioning from Ruby to Go, performance bottlenecks, and controversial views on Python in data engineering.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 2min
Optimizing Performance in Go Programming
02:24 • 20min
Optimizing Go Performance
22:01 • 24min
Optimizing Memory Usage in Go Programming
45:38 • 7min
Code Optimization and Controversial Views on Chocolate and Python for Data Engineering
52:14 • 3min
Analyzing the Use of I Rate in Prometheus Query Language
54:54 • 2min
Discussion on Data Visualization Tool Ira and Apple's Pickle Programming Language
56:30 • 3min