nannyml: post-deployment data science in python
-
Updated
Sep 30, 2024 - Python
nannyml: post-deployment data science in python
A suite of utilities simplilfying linux networking stack performance troubleshooting and tuning.
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
A Django app that tracks your queries to help optimize them. Demo: https://dj-tracker-bakerydemo.fly.dev/dj-tracker/
Generate performance reports from your django database performance tests.
Performance and cost benchmark tool for AWS Lambda on memory sizes 📈⏱
A python library to send data to Arize AI!
Monitor Linux system
Python utilities for AWS related tasks.
Python Implementation of Google PageSpeed Insights
A library for sending software performance metrics from Python libraries and apps to statsd.
This tool allows the IBM Storage Scale users to perform performance monitoring for IBM Storage Scale devices using third-party applications such as Grafana or Prometheus software.
Utilities and wrappers for using AWS X-Ray with Python
A platform mainly used for performance test.
Did My Code Execute - C/C++ source code level tracer
Python library to collect performance events
Train an artificial intelligent model to recognize abnormal traffic graphs or KPI graphs. Great for performance or IT engineers to figure out abnormal graphs from thousands of traffic graphs like cacti or KPI graphs from telecom OSS.
Websites monitoring via GitHub Actions (expiration, security, performances, privacy, SEO)
MARPLE is an open-source system profiling tool for Linux-based systems
Add a description, image, and links to the performance-monitoring topic page so that developers can more easily learn about it.
To associate your repository with the performance-monitoring topic, visit your repo's landing page and select "manage topics."