README.adoc

PyCon PL 2024 Presentation References

Container Orchestration & Scaling

• Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

• Official Documentation: https://kubernetes.io/docs/

• Karpenter: An open-source node provisioning project built for Kubernetes.

• Official Documentation: https://karpenter.sh/docs/

• KEDA (Kubernetes Event-driven Autoscaling): A Kubernetes-based event-driven autoscaler.

• Official Documentation: https://keda.sh/docs/

Load Testing & Performance Testing

• JMeter: An open-source software designed to load test functional behavior and measure performance.

• Official Documentation: https://jmeter.apache.org/usermanual/

• Gatling: An open-source load and performance testing tool for web applications.

• Official Documentation: https://gatling.io/docs/

• Grafana K6: A modern open-source load testing tool.

• Official Documentation: https://grafana.com/docs/k6/latest/

• Locust: An easy-to-use, distributed, user load testing tool.

• Official Documentation: https://locust.io/

Monitoring & Observability

• Grafana: A multi-platform open-source analytics and monitoring solution.

• Official Documentation: https://grafana.com/docs/

• OpenTelemetry: Provides a set of APIs, libraries, agents, and instrumentation to provide observability across your services.

• Official Documentation: https://opentelemetry.io/docs/

• Mimir Rules Controller: Kubernetes controller for managing Mimir alert rules as Kubernetes resources.

• Reference: https://github.com/healthjoy/mimir-rules-controller

Resilience & Fault Tolerance

• Tenacity: A retrying library for Python.

• Official Documentation: https://tenacity.readthedocs.io/

• CircuitBreaker: A circuit breaker pattern implementation in Python.

• Official Documentation: https://pypi.org/project/circuitbreaker/

Profiling & Performance

• cProfile: A built-in Python module for profiling Python programs.

• Official Documentation: https://docs.python.org/3/library/profile.html

• py-spy: A sampling profiler for Python programs.

• Official Documentation: https://github.com/benfred/py-spy

• pyinstrument: A Python profiler that aims to provide a better overview of code performance.

• Official Documentation: https://pyinstrument.readthedocs.io/

• memory-profiler: A module for monitoring memory usage of a Python program.

• Official Documentation: https://github.com/pythonprofilers/memory-profiler

• Objgraph: A module that lets you visually explore Python object graphs.

• Official Documentation: http://mg.pov.lt/objgraph/

• Flask-Debug-Toolbar: A toolbar for debugging Flask applications.

• Official Documentation: https://flask-debugtoolbar.readthedocs.io/

• Django-Debug-Toolbar: A configurable set of panels that display various debug information about the current request/response.

• Official Documentation: https://django-debug-toolbar.readthedocs.io/

• FastAPI-Debug-Toolbar: A debug toolbar for FastAPI applications.

• Official Documentation: https://pypi.org/project/fastapi-debug-toolbar/

Demo Flow

python -m timeit -r2 'import demo.example_job; demo.example_job.report_eligible_ids()'
poetry run pyinstrument run_demo_job.py
sudo py-spy record -o tmp/profile_demo_job.svg --pid $(ps ax | grep run_demo_job.py | grep python | awk '{print $1}')
python -m cProfile run_demo_job.py