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

# 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

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

# 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

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
# 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

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

def square_numbers(nums):
  for i in nums: 
    yield(i*i)
    
my_nums = square_numbers([1, 2, 3, 4, 5])

print my_nums

thecraftman

def square_numbers(nums):
  for i in nums: 
    yield(i*i)
    
my_nums = square_numbers([1, 2, 3, 4, 5])

print next(my_nums)

thecraftman

def square_numbers(nums):
  for i in nums: 
    yield(i*i)
    
my_nums = square_numbers([1, 2, 3, 4, 5])

print next(my_nums)
print next(my_nums)
print next(my_nums)
print next(my_nums)