Merge pull request #347 from grafana/20221021_docs-python

Add Python language examples

Author: simonswine

docs/sources/operators-guide/configure-agent/language-support/_index.md

@@ -10,3 +10,6 @@ weight: 20
 The following languages provide support for profiles in the pprof format:
 
 {{< section menuTitle="true" >}}
+
+If you're interested in integrating other ecosystems, please reach out to us on [github](https://github.com/grafana/phlare/discussions/293).
+

docs/sources/operators-guide/configure-agent/language-support/python.md

@@ -1,10 +1,64 @@
 ---
 title: "Python"
-menuTitle: "Python (Coming Soon)"
-description: ""
+menuTitle: "Python"
+description: "Instrumenting Pyhton applications for continuous profiling"
 weight: 50
 ---
 
-Coming Soon.
+# Python
 
-If you're interested into Python integration, please reach out to us on [github](https://github.com/grafana/phlare/discussions/293).
+The Python module [pypprof] adds HTTP-based endpoints similar like Go's [`net/http/pprof`] for collecting profiles from a Python application.
+
+Under the hood, it uses [zprofile] and [mprofile] to collect CPU and heap profiles with minimal overhead.
+
+[`net/http/pprof`]: https://golang.org/pkg/net/http/pprof/
+[pypprof]: https://github.com/timpalpant/pypprof
+[zprofile]: https://github.com/timpalpant/zprofile
+[mprofile]: https://github.com/timpalpant/mprofile
+
+## How to instrument your application
+
+First of all required Python modules need to be installed:
+
+```shell
+# Add the modules to the requirements.txt file
+cat >> requirements.txt <<EOF
+mprofile==0.0.14
+protobuf==3.20.3
+pypprof==0.0.1
+six==1.16.0
+zprofile==1.0.12
+EOF
+
+# Build the module's wheels locally
+pip3 wheel --wheel-dir=/tmp/wheels -r requirements.txt
+
+# Install the modules
+pip3 install --no-index --find-links=/tmp/wheels -r requirements.txt
+```
+
+Now the initialization code of your application should be invoking the web server exposing the profiling data:
+
+```python
+# import continous profiling modules
+from pypprof.net_http import start_pprof_server
+import mprofile
+
+# start memory profiling
+mprofile.start(sample_rate=128 * 1024)
+
+# enable pprof http server
+start_pprof_server(host='0.0.0.0', port=8081)
+```
+
+To test the handlers you can use the [pprof] tool:
+
+```shell
+# Profile the current heap memory usage
+pprof -http :6060 "http://127.0.0.1:8081/debug/pprof/heap"
+
+# Profile the cpu for 5 seconds
+pprof -http :6060 "http://127.0.0.1:8081/debug/pprof/profile?seconds=5"
+```
+
+[pprof]: https://github.com/google/pprof