The DevOps movement gave us many ways to put Python applications into production. But how can you practically structure and configure your applications to make them indifferent to the environment they run in? How do secrets fit into the picture? And where do you put that log file?
No matter whether you run a web app, search for gravitational waves, or maintain a backup script: reliability of your systems make the difference between sweet dreams and production nightmares at 4am.
To get real time insight into running applications you need to instrument them and collect metrics: count events, measure times, expose numbers. That used to be a clusterfuck of technologies and approaches. Prometheus changes that.
Your Python applications are running but you’re wondering what they are doing? The only clue about their current state is the server load after
ssh-ing into the servers? Let’s change that!
TLS is the best technology we have for securing our communications. It comes with many sharp edges though. This talk tries to jumpstart a rough understanding and these links should help you to complete the picture.
Without orientation, deployments of Python applications can be tiresome and even painful. This talk attempts to replace anxiety and pain through informed annoyance.