- Input injection
- Parsing XML
- Assert statements
- Timing attacks
- A polluted site-packages or import path
- Temporary files
- Using yaml.load
- Using the system Python runtime and not patching it
- Not patching your dependencies
Speed, reproducibility, easy rollbacks, and predictability is what we strive for when deploying our diverse Python applications. And that’s what we achieved by leveraging virtual environments and Linux system packages.
"Ansible is simple, which is a major strength", it "works by connecting to a server using SSH, copies the Python code over, executes it and then removes itself".
"Ansible Tower is the Enterprise version, it turns the command line Ansible into a service, with a web interface, scheduler and notification system."
"you can’t have long-running tasks."
"StackStorm is designed as a highly-configurable if-this-then-that service. it can react to events and then run a simple command or a complex workflow."
"MongoDB can be scaled using well-documented patterns." "StackStorm extensibility system is a key strength." "If StackStorm were a programming language, it would be strongly typed."
"Salt was born as a distributed remote execution system used to execute commands and query data on remote nodes."
"Ultra high-performance for large deployments." (LinkedIn use it)