tldr - powered by Generative AI

• Parka is a tool for profiling and analyzing performance in software applications
• The storage architecture of Parka is designed to handle stack traces as a first-class citizen
• Write requests are ingested and validated using protobuf and metadata label sets
• The metadata store is implemented in SQLite and can be used with any SQL database
• The end result of a write request is a set of location IDs and corresponding sample values

tldr - powered by Generative AI

• Profiling is the act of analyzing the performance of applications in order to improve poorly performing sections of code
• Flame graphs are a popular way to visualize a profile
• The challenges of profiling include overhead and modifying code
• Cuba City Flame is a tool that aims to make profiling effortless by removing the need to do code modifications and by doing profiling without having to do a deployment
• The future of profiling includes ephemera containers, ebpf, and continuous profiling tools