Ruby's TracePoint API is very powerful for building custom profilers. As the final post of the DIY CPU profiler series, this post will introduce how to get method runtime statistics and generate relevant graphs.
Ruby's TracePoint API is very powerful for building custom profilers. In this post I will talk about hooking into Ruby code execution life cycle using this API
Ruby's TracePoint API is very powerful for building custom profilers. In this post I will talk about Wall time and CPU time, and how to measure them for Ruby programs.
Ruby's TracePoint API is very powerful and allows us to write custom profiling code without slowing down the execution of programs. In this post, I will introduce CPU profiling and 2 strategies to write one.
JSON schema can help bring order to handling complex JSON interactions in APIs. For instance, you can avoid checking the types of incoming JSON and rely on JSON schema to do the validation. This post talks about similar usecases.
Ruby 2.0 and above has in-built support for DTrace hooks. This lets us profile Ruby programs. In this post, I'll go into the details of the features of DTrace.
Ruby 2.0 and above has in-built support for DTrace hooks. This lets us profile Ruby programs. In this post, I'll introduce DTrace and how to add DTrace probes to a Ruby program.
