rammanokar

#!/bin/bash

# ----------------------------------------------------------------------------
# Script: finalize_and_delete_namespace.sh
# Description: This script resolves a stuck Kubernetes namespace that is in
#              "Terminating" state by removing the finalizers from the namespace,
#              and then optionally deletes the namespace upon user confirmation.
# 
# Created based on the steps provided in:
# https://repost.aws/knowledge-center/eks-terminated-namespaces

rammanokar

#!/bin/bash

# Define variables
ORG="myOrg"
TEAM="myTeam"
PERMISSION="push" 

# Check if the team exists
team_exists=$(gh api \
  -H "Accept: application/vnd.github+json" \

rammanokar

version: '2'

services:
  kafka:
    image: 'bitnami/kafka:latest'
    ports:
      - "9092:9092"
      - "9094:9094"
    volumes:
      - "kafka_data:/bitnami"

rammanokar

#!/bin/bash

# Function to get all namespaces
get_namespaces() {
    kubectl get namespaces --no-headers -o custom-columns=NAME:.metadata.name | grep -Ev "^(kube-system|kube-public|kube-node-lease|istio.*|gke.*)$"
}

# Function to get pods based on condition
get_pods() {
    local namespace=$1

rammanokar

"grinning","smiley","smile","grin","laughing","sweat_smile","joy","slightly_smiling_face","upside_down_face","wink","blush","innocent","heart_eyes","kissing_heart","kissing","relaxed","kissing_closed_eyes","kissing_smiling_eyes","yum","stuck_out_tongue","stuck_out_tongue_winking_eye","stuck_out_tongue_closed_eyes","money_mouth_face","hugging_face","thinking_face","zipper_mouth_face","neutral_face","expressionless","no_mouth","smirk","unamused","face_with_rolling_eyes","grimacing","relieved","pensive","sleepy","sleeping","mask","face_with_thermometer","face_with_head_bandage","dizzy_face","sunglasses","nerd_face","confused","worried","slightly_frowning_face","white_frowning_face","open_mouth","hushed","astonished","flushed","frowning","anguished","fearful","cold_sweat","disappointed_relieved","cry","sob","scream","confounded","persevere","disappointed","sweat","weary","tired_face","triumph","rage","angry","smiling_imp","imp","skull","skull_and_crossbones","hankey","japanese_ogre","japanese_goblin","ghost","ali

rammanokar

[Unit]
Description=SSH idle shutdown
After=ssh.service


[Service]
ExecStart=/usr/bin/sshIdleShutdown.sh
Restart=on-failure
RestartSec=5s

rammanokar

import pandas as pd
from sklearn.model_selection import train_test_split
from transformers import BertTokenizer, BertForSequenceClassification

# load the labeled helpdesk ticket dataset
df = pd.read_csv("helpdesk_tickets.csv")

# preprocess the text data
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
df["text"] = df["text"].apply(lambda x: tokenizer.tokenize(x))

rammanokar

VPA Recommendation to CSV

kubectl -n draco get vpa -o json | yq '.items[].status.recommendation.containerRecommendations[] | (.containerName +","+.target.cpu + "," + .upperBound.cpu +","+ .target.memory + "," + .upperBound.memory) '

rammanokar

git clone --depth=1 https://github.com/Bash-it/bash-it.git ~/.bash_it
~/.bash_it/install.sh

# install fzf
git clone --depth 1 https://github.com/junegunn/fzf.git ~/.fzf
~/.fzf/install --all

#install zoxide
curl -sS https://raw.githubusercontent.com/ajeetdsouza/zoxide/main/install.sh | bash

rammanokar

set -g mouse on
bind C-c new-session
bind r source ~/.tmux.conf

set -sg escape-time 50

set -g @plugin 'tmux-plugins/tmux-sensible'
set -g @plugin 'arcticicestudio/nord-tmux'
set -g @plugin 'tmux-plugins/tpm'
set -g @plugin 'tmux-plugins/tmux-sensible'