How we wrote a Python profiler

The Datadog team has launched a Continuous Profiler product that targets Java and Python languages. The profiler is designed to be always-on and provides insight into application behavior, unlike traditional profiling tools like `cProfile` in Python. Statistical profiling is used instead of deterministic profiling due to the latter's high overhead. The Datadog Python Profiler is built with a focus on low overhead and simplicity, using components such as collectors, exporters, and a scheduler. It supports various data collectors, including a stack collector that measures CPU time and memory allocations, and exports data in the pprof format. The profiler aims to provide a great experience for continuous profiling in Python, making it an exciting development in the field of software performance analysis.