Amon - web application debugging and monitoring toolkit

Transcript

1. Amon Web application debugging and monitoring toolkit by Martin Rusev @martin_rusev
2. What’s in the box System monitoring Process monitoring Logging Exception logging
3. How does it work Collector daemon Web application JSON API Periodically checks the system metrics and saves the information to a Mongo Database Displays Logs, Exceptions and charts with system and process information Accepts POST requests with log and exception data from the web application
4. System monitoring CPU, RAM, Disk usage, Loadavg, Network statistics Custom date ranges with 24 hours default A very thin layer over standard UNIX tools
5. /etc/amon.conf “process_checks”: [ ”mongo”, ”nginx” ] Process monitoring CPU and RAM Adding a new process is 1 line of code Master/worker aware Perfect for monitoring web servers
6. pip install amonpy ......................... import amonpy amonpy.log({”first_name”: “John”, “last_name”: “Dev”}, level=’info’) amonpy.log([’list’, ‘of’,’things’, level=’debug’) amonpy.log(’just a string’, level=’debug’) Python Logging Not limited to strings No configuration Easily searchable through the web interface Language agnostic Supports strings, dictionaries, lists and tuples Works in every language that supports HTTP and JSON
7. Exception logging Support for the most popular web frameworks Intelligently groups similar exceptions Full backtrace Django, Ruby and Rails and Node.js MIDDLEWARE_CLASSES = (‘amonpy.DjangoExceptionMiddleware) Django integration - settings.py gem ‘ramon’ Rails3 integration - Gemfile
8. Why use it Easy to install Lighweight and scalable Full control over your data Optimized to run both on a server and a local machine curl install.amon.cx | sh Uses the Tornado web framework. On top of MongoDB
9. Thank you You can find Amon at If you have any questions, you can find me at amon.cx github.com/martinrusev/amon github.com/martinrusev @martin_rusev