This is a short step-by-step guide on installing ElasticSearch LogStash and Kibana Stack on a CentOS environment to gather and analyze logs.
rpm -ivh https://dl.dropboxusercontent.com/u/5756075/jdk-7u45-linux-x64.rpm
| require! <[googleapis request moment readline fluent-ffmpeg]> | |
| rl = readline.create-interface do | |
| input: process.stdin | |
| output: process.stdout | |
| video-id ='' | |
| stream-id = '' | |
| stream-url = '' |
| # Connect to AWS SES | |
| openssl s_client -crlf -quiet -connect email-smtp.us-east-1.amazonaws.com:465 | |
| openssl s_client -crlf -quiet -starttls smtp -connect email-smtp.us-east-1.amazonaws.com:25 | |
| # SMTP commands | |
| EHLO 2ndwatch.com | |
| AUTH LOGIN | |
| # Username by 'echo -n [accesskey] | base64' | |
| skdfjlskdflskj |
Syntax: cat <filename> | jq -c '.[] | select( .<key> | contains("<value>"))'
Example: To get json record having _id equal 611
cat my.json | jq -c '.[] | select( ._id | contains(611))'Remember: if JSON value has no double quotes (eg. for numeric) to do not supply in filter i.e. in contains(611)
| # The script illustartes stunning difference on my machine with processing of signal with multiprocessing and joblib. | |
| # The slowness of multiprocessing is likely caused by oversubscription | |
| import time | |
| import numpy as np | |
| import librosa | |
| from joblib import Parallel, delayed | |
| from functools import partial | |
| from multiprocessing import Pool |