caratliff / logging-monitoring-instrumentation

A brief repository on logging monitoring and instrumentation in Python

logging-monitoring-instrumentation

A brief repository on logging monitoring and instrumentation in Python

Items for you to solve

• Toggle log levels from debug to info to etc using config file (try also creating and catching exceptions)
• Add a file handler and emit logs to a file
• Use the python-json-logger and convert log message to a JSON format: https://github.com/madzak/python-json-logger

Next Steps

• Convert Daemon to click command-line tool and let --level be set via a flag.
• Run Daemon to background with python daemon.py & # what happens?
• Run Daemon to background with python daemon.py & the type fg # what happens? Can you kill it?
• Run Daemon in screen and detach and reattach.
• Can you use a Daemon library? Is this better?

Dashboard Next Steps

• Send the output of the daemon to AWS: Cloudwatch, SNS, Kinesis, etc
  • logging to AWS Lambda
• Dashboard your daemon output by counting the occurrences
• Log via an AWS Compute Unit: AWS Lambda, ECS or App Runner
  • Try co-pilot
• Use someform of tracing and trace code: X-Ray/strace etc. What does strace do?