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Foundations of Go performance (Go Time #304)

Feb 20, 2024
01:00:06
Snipd AI
Join Miriah Peterson and Bryan Boreham in a discussion on optimizing Go programs for performance. They cover profiling, design philosophy, resource requirements, mechanical sympathy, memory optimization, and the nuances of writing efficient Go code. Also, explore the drawbacks of using 'I rate' function in Prometheus query language and Apple's Pickle language release.
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Podcast summary created with Snipd AI

Quick takeaways

  • Importance of profiling and optimizing code for Go programs.
  • Consideration of language choice for data engineering tasks based on performance and efficiency.

Deep dives

Optimizing Go performance: Tips from the experts

In this podcast episode, the hosts discuss the foundations of Go performance and provide guidance for optimizing Go programs. Key points include the importance of profiling, understanding Go's design principles, and focusing on efficient code. They also touch upon the impact of memory allocation, using pointers judiciously, and preallocating slices and maps. The hosts emphasize the need for benchmarking and continually iterating to improve performance. They advise on doing less work by optimizing regular expression and template usage, as well as avoiding unnecessary memory allocation. Finally, they advocate for writing elegant code while considering the results of profiling and benchmarking.

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