aws s3 ls s3://bucket/path/ --recursive --summarize | grep "Total Objects:"

python3 log to file AND stdout
import logging
logging.basicConfig(handlers=[logging.FileHandler('/var/log/runner/process1.log'),logging.StreamHandler()],format='%(asctime)s %(levelname)s %(message)s',level=logging.INFO)

logging.info('foo')

Encore mieux pour supporter le logrotate sans copytruncate :
import logging.handlers
logging.basicConfig(handlers=[logging.handlers.WatchedFileHandler('/var/log/worker/worker1.log'),logging.StreamHandler()],format='%(asctime)s %(levelname)s %(message)s',level=logging.INFO)

/var/log/worker/*.log {
monthly
rotate 12
compress
delaycompress
missingok
notifempty
create 644 root root
}

Python 2:

import logging as loggingg

logging = loggingg.getLogger('simple_example')
logging.setLevel(loggingg.INFO)

formatter = loggingg.Formatter('%(asctime)s %(levelname)s %(message)s')

console_handler = loggingg.StreamHandler()
console_handler.setLevel(loggingg.INFO)
console_handler.setFormatter(formatter)

file_handler = loggingg.FileHandler('/var/log/worker/worker3.log')
file_handler.setLevel(loggingg.INFO)
file_handler.setFormatter(formatter)

logging.addHandler(console_handler)
logging.addHandler(file_handler)

wtf?

cd dir
time perl -e 'for(<*>){((stat)[9]<(unlink))}'

find -L . -type f | parallel -j 30 rsync -a {} /DESTINATION_EFS_FILESYSTEM

for branch in git branch -r | grep -v HEAD;do echo -e git show --format="%ci %cr" $branch | head -n 1 \t$branch; done | sort -r

So you can put your data into glacier with 2 differents ways:
1) directly to glacier via API
2) Store them to s3 then with a management policy, it'll go to Glacier

Warning : Huge cost when you download from glacier and when you delete before 3 months

tmux <3

while true; do python monitor_beanstalk.py; bg_color=$([ $? == 0 ] && echo "green" || echo "red"); tmux set-window-option -t${TMUX_PANE} window-status-bg $bg_color; sleep 30; clear; done