Profiling

Symbolization is a technique that allows you to translate machine memory addresses to human-readable symbol information (symbols). Why do we need to read what programs do anyways? We usually do not need to translate everything to a human-readable format when things run smoothly. But when things go south, we need to understand what is going on under the hood. Symbolization is needed by introspection tools like debuggers, profilers and core dumps or any other program that needs to trace the execution of another program. While a target program is executing on a machine, these types of programs capture the stack traces of the program that is being executed. ...

For years Google has consistently been able to cut down multiple percentage points in their fleet-wide resource usage every quarter, using techniques described in their “Google-Wide Profiling” paper. Ad-hoc profiling has long been part of the developer’s toolbox to analyze CPU and memory usage of a running process, however, through continuous profiling, the systematic collection of profiles, entirely new workflows suddenly become possible. Matthias and Kemal will start this talk with an introduction to profiling with Go and demonstrate via Conprof - an open-source continuous profiling project - how continuous profiling allows for an unprecedented fleet-wide understanding of code at runtime. Attendees will learn how to continuously profile Go code to help guide building robust, reliable, and performant software and reduce cloud spend systematically. ...

For years Google has consistently been able to cut down multiple percentage points in their fleet-wide resource usage every quarter, using techniques described in their “Google-Wide Profiling” paper. Ad-hoc profiling has long been part of the developer’s toolbox to analyze the CPU and memory usage of a running process. However, through continuous profiling, and the systematic collection of profiles, entirely new workflows suddenly become possible. The presenter will start this talk with an introduction to profiling applications, and demonstrate how one can practice it using open-source continuous profiling tools, and how continuous profiling allows for an unprecedented fleet-wide understanding of code at production runtime. ...