pekermert

# === Optimized my.cnf configuration for MySQL/MariaDB (on Ubuntu, CentOS, Almalinux etc. servers) ===
#
# by Fotis Evangelou, developer of Engintron (engintron.com)
#
# ~ Updated December 2021 ~
#
#
# The settings provided below are a starting point for a 8-16 GB RAM server with 4-8 CPU cores.
# If you have different resources available you should adjust accordingly to save CPU, RAM & disk I/O usage.
#

pekermert

# Complete the countingValleys function below.
def countingValleys(n, s):
    path = [i for i in s]
    dd=0
    uu=0
    vc=0
    for i in range(len(path)-1):
        if path[i] == 'D' and path[i+1] == 'D':
            dd=1
        if path[i] == 'U' and path[i+1] == 'U' and dd > 0: 

pekermert

# Complete the sockMerchant function below.
def sockMerchant(n, ar):
    colors = []
    i = 0
    while i<len(ar):
        if ar[i] not in colors:
            colors.append(ar[i])
        i += 1
    t = 0
    tp = 0

pekermert

#!/bin/bash

DOMAINLIST='./domains.list'


MAIL='/usr/bin/mail'
EMAILS='testuser@gmail.com'


OLDLOG='./monitordns.OLD'

pekermert

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:

pekermert

  location ~* ^/s3/(.*) {
    set $bucket           '<REPLACE WITH YOUR S3 BUCKET NAME>';
    set $aws_access       '<REPLACE WITH YOUR AWS ACCESS KEY>';
    set $aws_secret       '<REPLACE WITH YOUR AWS SECRET KEY>';
    set $url_full         "$1";
    set_by_lua $now       "return ngx.cookie_time(ngx.time())";
    set $string_to_sign   "$request_method\n\n\n\nx-amz-date:${now}\n/$bucket/$url_full";
    set_hmac_sha1          $aws_signature $aws_secret $string_to_sign;
    set_encode_base64      $aws_signature $aws_signature;

pekermert

Here I will go over how to setup Logstash, Kibana, Redis, and Elasticsearch in an EC2 environment behind a public Load Balancer. The setup I'll be doing will have:

1) One server for Redis to act as the broker/buffer to receive logs.
2) One server using Logstash receive logs from Redis and parse/index them over to Elasticsearch.
3) One server for Elasticsearch to receive logs and Kibana to view them in a browser.
4) One server to send the logs using logstash.
5) One public Load Balancer.

This may seem like a lot but follow these steps and you'll get the hang of it :)
What you will need: