MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

MrDrMcCoy

The Problem

Proxmox has a neat UI for adding extra storage to containers. However, if that storage already exists somewhere or needs to exist for more than one container, you're SOL. Bind mounting is an easy way to take a mount and make it exist in more than one place. However, bind mounting has to be done in a particular order with Proxmox due to how it creates device nodes and pre-populates directories. This is very frustrating, but not unsolvable.

The solution

ZFS needs to come up first

If you are using ZFS for your storage (which you should), you need to ensure that all of ZFS's mounts are fully online before proxmox does anything. You will need to add After=zfs.target to the [Unit] section of the Proxmox Systemd service files. The change needs to be applied to the following files:

jjvillavicencio

cd /home/<user>/
sudo apt-get install unzip
wget https://dl.google.com/android/repository/sdk-tools-linux-4333796.zip
unzip sdk-tools-linux-4333796.zip -d Android
rm sdk-tools-linux-4333796.zip
sudo apt-get install -y lib32z1 openjdk-8-jdk
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export PATH=$PATH:$JAVA_HOME/bin
printf "\n\nexport JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64\nexport PATH=\$PATH:\$JAVA_HOME/bin" >> ~/.bashrc
cd Android/tools/bin

basoro

I ran into the battle of running all of my VMs and the host node under a single public IP address. Luckily, the host is just pure Debian, and ships with iptables.

What needs to be done is essentially to run all the VMs on a private internal network. Outbound internet access is done via NAT. Inbound access is via port forwarding.

Network configuration

Here’s how it’s done:

Create a virtual interface that serves as the gateway for your VMs:

bikcrum

anna-geller

import boto3
import pandas as pd

s3_bucket = "awebsite"
html_file = "sales_report.html"

df = pd.DataFrame([{'year': 2021, 'month': 8, 'order_status': 'unavailable', 'order_count': 48},
                  {'year': 2021, 'month': 8, 'order_status': 'delivered', 'order_count': 7069},
                  {'year': 2021, 'month': 8, 'order_status': 'invoiced', 'order_count': 15},
                  {'year': 2021, 'month': 8, 'order_status': 'shipped', 'order_count': 74},

anna-geller

import boto3
import pandas as pd

s3_bucket = "annageller"
html_file = "sales_report.html"

df = pd.DataFrame([{'year': 2021, 'month': 8, 'order_status': 'unavailable', 'order_count': 48},
                  {'year': 2021, 'month': 8, 'order_status': 'delivered', 'order_count': 7069},
                  {'year': 2021, 'month': 8, 'order_status': 'invoiced', 'order_count': 15},
                  {'year': 2021, 'month': 8, 'order_status': 'shipped', 'order_count': 74},

anna-geller

import boto3
import pandas as pd

s3 = boto3.client("s3")
bucket_name = "annageller"
s3_object = "sales/customers.csv"

obj = s3.get_object(Bucket=bucket_name, Key=s3_object)
df = pd.read_csv(obj["Body"])

anna-geller

import boto3

bucket_name = "annageller"
s3_object = "ted_lasso.txt"
s3_object_body = "Be curious, not judgemental"
s3_resource = boto3.resource("s3")

upload_result = s3_resource.Object(bucket_name, s3_object).put(Body=s3_object_body)
assert upload_result["ResponseMetadata"]["HTTPStatusCode"] == 200

anna-geller

import os
import boto3
import tempfile

S3_BUCKET = "annageller"
S3_PREFIX = "sales/"

with tempfile.TemporaryDirectory() as tempdir:
    s3 = boto3.client("s3")
    response = s3.list_objects_v2(Bucket=S3_BUCKET, Prefix=S3_PREFIX)