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#!/usr/bin/env bash
set -euo pipefail

#############################################
# Proxmox Ubuntu VM (Cloud-Init + Guest Agent)
# - Random VMID
# - SSH password authentication ENABLED
#############################################

log() { echo "[$(date +'%F %T')] $*"; }

ilyesAj

#!/usr/bin/env bash
# k8s-single-node-bootstrap.sh
# Single-node Kubernetes bootstrap on Ubuntu 22.04 (containerd + kubeadm)
# + optional MetalLB (L2) with configurable address pool (CIDR or range)

set -Eeuo pipefail

########################################
# Defaults (override via env or flags)
########################################

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{
	"info": {
		"_postman_id": "a30303a4-d220-44ec-9abb-a2ba83ef54bf",
		"name": "Amazon Bedrock API",
		"description": "Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.\n\nThe Amazon Bedrock

ilyesAj

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: pv-mounter
spec:
  selector:
    matchLabels:
      app: pv-mounter
  template:

ilyesAj

apiVersion: v1
kind: Namespace
metadata:
  name: s3-copy
---
apiVersion: batch/v1
kind: Job
metadata:
  name:  s3-copy-bucket-a
  namespace: s3-copy

ilyesAj

apiVersion: v1
kind: Namespace
metadata:
  name: s3-copy
---
apiVersion: batch/v1
kind: Job
metadata:
  name:  s3-bucket-a-sync
  namespace: s3-copy

ilyesAj

#!/bin/bash
# this script will allow you to append policy within a bucket 
# you need to install jq awscli to use this script
[ $# != 1 ] && { echo "Usage: $0 \"bucket_name\""; exit 1; }

bucket="$1"

json_to_add="{\"Effect\":\"Allow\",\"Principal\":{\"AWS\":\"arn:aws:iam::ACCOUNT-B:user/s3-cross-account\"},\"Action\":[\"s3:ListBucket\",\"s3:GetObject\"],\"Resource\":[\"arn:aws:s3:::${bucket}\",\"arn:aws:s3:::${bucket}/*\"]}"
# get bucket policy
aws s3api get-bucket-policy --bucket ${bucket} --query Policy --output text > policy-${bucket}.json

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{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::Account-B:user/s3-cross-account"
            },
            "Action": [
                "s3:GetObject",

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{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::ACCOUNT_B:user/s3-cross-account"
            },
            "Action": [
                "s3:ListBucket",

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{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "ReadBucketA",
            "Effect": "Allow",
            "Action": [
                "s3:ListBucket",
                "s3:GetObject"
            ],