PauloMigAlmeida

How to compile the linux kernel, launch it as a process and boot into Alpine linux

#Command + Shift + 5
#Host -> Docker GCC -> UML w/ Alpine 

# create and mount the filesystem
sudo rm -rf ~/workspace/root_fs_um
mkdir -p ~/workspace/root_fs_um
cd ~/workspace/root_fs_um
dd if=/dev/zero of=root_fs bs=1M count=1024

PauloMigAlmeida

# Assuming that you have AWS cli installed and configured.
# To run:
#   terraform init
#   terraform plan -out terraform.tfplan
#   terraform apply terraform.tfplan

provider "aws" {
  region = "ap-southeast-2"
}

PauloMigAlmeida

; Mem definition
PML4.Addr      equ   0x00010000  ; PML4
PDPE.Addr      equ   0x00011000 ; 0x10000 + PML4 (512 entries of 64 bits)
PDE.Addr       equ   0x00012000 ; 0x11000 + PDPE (512 entries of 64 bits)
PTE.Addr       equ   0x00013000 ; 0x12000 + PDE (512 entries of 64 bits)

; Setup pages structure and flag bits
; Present (bit 1) and ReadWrite(bit 2) bits are set
.StdBits   equ 0x03

PauloMigAlmeida

# ap-souteast-2 prices only for now

import math
import sys

upload_requests_price_per_thousand = 0.06
storage_price_per_gb = 0.005
standard_retrieval_price_per_gb = 0.012
standard_retrieval_price_per_1000_requests = 0.06
free_tier_retrieve_per_month = 10

PauloMigAlmeida

for region in $(aws ec2 describe-regions --query "Regions[].RegionName" --output json | jq -r '.[]'); do
  echo "$region = $(aws ec2 describe-images --owners amazon --filters 'Name=name,Values=amzn-ami-hvm-????.??.?.x86_64-gp2' --query 'sort_by(Images, &CreationDate) | [-1].ImageId' --region $region)"
done

PauloMigAlmeida

Keybase proof

I hereby claim:

• I am PauloMigAlmeida on github.
• I am paulomigalmeida (https://keybase.io/paulomigalmeida) on keybase.
• I have a public key whose fingerprint is 72C3 8C20 51A2 0BED 8CFF D7C4 AD41 6024 41C7 75EC

To claim this, I am signing this object:

PauloMigAlmeida

#!/bin/bash

# Author: Paulo Miguel Almeida <[email protected]>
#
# Desc:   Utility script that allows you to find the same ami(name) across multiple regions. 
#         For instance, let's suppose that you want to find the Ubuntu Server 16.04 LTS HVM SSD 
#         to build a nice cloudformation template. Note that you can play around with the filters
#         that AWSCLI provides. Have fun ;)
# Usage: 
#         find_ami_in_multiple_regions.sh ami-e93da085 (Obs.: This ami must be at same region your AWS is set)

PauloMigAlmeida

#!/bin/bash

# Usage ./find_class_directory.sh <folder> <class>
# Example: ./find_class_directory.sh WEB-INF/lib SignatureReader

TARGET_DIR=$1
TARGET_CLASS=$2
LIST_FILES=$(ls -1 $TARGET_DIR | grep -i -e  ".*\.jar")

while read -r line; do

PauloMigAlmeida

#/bin/bash

# Usage ./download.sh <bucket_name> <target_folder>
# Example: ./download.sh test ./files_today
# Note: you must configure your awscli before use this. Execute aws configure 

BUCKET_NAME=$1
TARGET_DIR=$2
FILES_LIST=$TARGET_DIR/files.txt

PauloMigAlmeida

# Makefile
ifeq ($(shell pkg-config --modversion opencv),)
	$(error Package gtkmm-2.4 needed to compile)
endif

CXXFLAGS += `pkg-config --cflags opencv`
LDLIBS += `pkg-config --libs opencv`

BINS = program
program_OBJS = main.o