Nachiket nachiket-lab

Clone the base env

$ conda create --name --clone base

Create a kernel

$ ipython kernel install --name --user

Install packages

export http_proxy="xyz" export https_proxy="xyz"

Within infinite myths lies the eternal truth
Who sees it all?
Varuna has but a thousand eyes,
Indra has a hundred,
You and I, only two.

Devdutt Pattanaik

Normal Text

Some Links:
Link 3

	apiVersion: kibana.k8s.elastic.co/v1
	kind: Kibana
	metadata:
	namespace: dev
	name: nachiket
	spec:
	version: 7.17.1
	count: 1
	elasticsearchRef:
	name: nachiket

	apiVersion: elasticsearch.k8s.elastic.co/v1
	kind: Elasticsearch
	metadata:
	name: nachiket
	namespace: dev
	spec:
	version: 7.17.1
	nodeSets:
	- name: controlplane
	count: 3

	# Bucket Selector Query

	Suppose we need to find a scenario where multiple users are logging in from a single source IP. We would write a query to do the following:
	1. Query and filter the event id you need
	2. Aggregate the results by ip addresses
	3. Aggregate the output of ip addresses by the users
	4. Select only the buckets that cross our threshold (In our case 10)

	We could easily write a query to do this in dev_tools as follows:
	```

	import collections.abc
	import yaml

	# Flatten the yaml dictionary into a set of strings
	# https://stackoverflow.com/a/6027615/10922298
	def flatten(d, parent_key='', sep='.'):
	items = []
	for k, v in d.items():
	new_key = parent_key + sep + k if parent_key else k
	if isinstance(v, collections.MutableMapping):

	import logging.config
	import os
	from django.utils.log import DEFAULT_LOGGING

	# Disable Django's logging setup
	LOGGING_CONFIG = None

	LOGLEVEL = os.environ.get('LOGLEVEL', 'info').upper()

	logging.config.dictConfig({