thecraftman

def square_numbers(nums):
  result = []
  for i in nums:
    result.append(i*i)
   return result

my_nums = square_numbers([1,2,3,4,5])
# my_nums = [x * x for x in [1,2,3,4,5]]

thecraftman

# Disable index lifecycle management (ILM)
setup.ilm.enabled: false
# network device to capture traffic from
packetbeat.interfaces.device: en0
# Configure the maximum size of the packets to capture
packetbeat.interfaces.snaplen: 44937833987
# Configure Sniffing & traffic capturing options
packetbeat.interfaces.type: pcap
# Configure the maximum size of the shared memory buffer to use
packetbeat.interfaces.buffer_size_mb: 400

thecraftman

SQL	NoSQL
When your access patterns aren't defined	When your access pattern is defined.
When you want to perform flexible queries. If your access patterns arent define you won't know what queries to perform.	When your primary key is known.
When you want to perform relational queries.	When your data model fits (graphs)
When you want to enforce field constraints, this allows you to keep your data consistent.	High efficiency Scaling
When you want to use a documented access language (SQL) is generally universal across all the Relational Database Engines.	When you need high performance and low latency.
Data use Schemes	Schema-less
Relations!	No (very few) Relations
Data is distributed across multiple tables	Data is typically merged and nested in a few collections

thecraftman

# Disable index lifecycle management (ILM)
setup.ilm.enabled: false
heartbeat.monitors:
- type: icmp
  schedule: '*/5 * * * * * *' 
  hosts: ["myhost"]
  id: my-icmp-service
  name: My ICMP Service

- type: tcp

thecraftman

env:
	
	- name: AXIOM_HOST
	  value: http://cloud.axiom.co // replace with your self-host url if needed
	- name: AXIOM_DATASET_NAME
	  value: aks-logs
	- name: AXIOM_INGEST_TOKEN
	  value: xait-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

thecraftman

# Before running this code, make sure you have Python 3 and above Installed on your machine. 
# Run the file using python3 pythongenerator.py

# Creating a password generator in Python

# string library to generate the password 
import string 
# generate secure and random passwords
import random

thecraftman

input{
  exec{
    command => "date"
    interval => "1"
  }
}
output{
  elasticsearch{
    hosts => ["$YOUR_AXIOM_URL:443/api/v1/datasets/<dataset>/elastic"]
    # api_key can be your ingest or personal token

thecraftman

In order to clarify the intellectual property license granted with Contributions from any person or entity, the open source project Tola ("Tola") must have a Contributor License Agreement (CLA) on file that has been signed by each Contributor, indicating agreement to the license terms below. This license is for your protection as a Contributor as well as the protection of Tola and its users; it does not change your rights to use your own Contributions for any other purpose. This Agreement allows an individual or an entity to submit Contributions to Tola, to authorize Contributions submitted by its designated employees to Tola, and to grant copyright and patent licenses. thereto. You accept and agree to the following terms and conditions for Your present and future Contributions submitted to Tola. Except for the license granted herein to Tola and recipients of software distributed by Tola, You reserve all right, title, and interest in and to Your Contributions. Definitions. "You" (or "Your") shall mean the cop

thecraftman

Virtual Environment

1. Create the venv and fix permissions:

   sudo virtualenv --python=python3 ~/weblate-env
   sudo chown -R {YOUR USERNAME}:{YOUR USERNAME} /home/{YOUR USERNAME}/weblate-env-2
   

thecraftman

Windows Subsystem for Linux 2

Getting Started

Using WSL2 with Visual Studio Code

• Steps

1. Install the Remote development Extension pack on VS Code