keyring | Proper Payload Protection Prevents Poor Performance | Encryption library

I am not sure what options to use when storing a CloudSQL ssl certificate in the Google Cloud key chain, my import job fails. Which are the correct encryption options for a client SSL certificate?

I use jupyter notebook to do my job a lot of the time, so create several new notebooks a day to solve various different tasks. There are about 12 libaries - that I always import - and I always open another notebook at random, cut and paste the first cell into the new notebook

So there's a lot of duplication, and I'm wondering if I can avoid it in any way? What I really want is to do a line like:

I'm trying to deploy the ELK stack to my developing kubernetes cluster. It seems that I do everything as described in the tutorials, however, the pods keep failing with Java errors (see below). I will describe the whole process from installing the cluster until the error happens.

Step 1: Installing the cluster

sudo pacman -Syu

I try updating all the packages using pacman on my Manjaro Linux and pacman necessarily does everything to download the latest updates of all the available packages and after checking for file conflicts, it throws

I tried to install the https://pypi.org/project/keyrings.google-artifactregistry-auth/ package, but installation failed because it claims that Rust is required to install:

This package requires Rust >=1.41.0.

How can I install this? Do I need to install Rust?

Full output is here:

Trying to use https://github.com/nodesource/distributions/blob/master/README.md to install nodejs in version higher than 10 ( and then npm) on Linux Mint 19.3. It stubbornly installs the 8.10 version.

Tried fixing it with tip from https://unix.stackexchange.com/questions/538536/newest-version-of-nodejs-is-not-intalling-in-linux-mint-tina but 1) "check_alt "Linux Mint" "tricia" "Ubuntu" "bionic" is already in the script 2) the result is the same.

Attempted to use sudo apt-get install as well as wget, which failed just like my last attempt, using the installation script downloaded:

We are using conda to maintain a python environment and I'd like to understand why google-cloud-bigquery==1.22.0 is being installed when the latest available version is https://pypi.org/project/google-cloud-bigquery/2.16.1/ and the latest vaailable version on conda-forge (https://anaconda.org/conda-forge/google-cloud-bigquery) is 2.15.0

Here's a Dockerfile that builds our conda environment:

I'm running python 3.8 under Pop!_OS and noticed a weird reoccurring error when running various pip commands like install or list --outdated. The full error states:

I'm trying to build a cluster to test stuff before i apply them to out production cluster. We're using Ceph Nautilus so i decided to install Nautilus first as well. Used the docs below: https://docs.ceph.com/en/latest/install/manual-deployment/ Everything seemed to go fine. I installed 3 monitors, generated the monmap copied keyrings to other monitors, started services and they are all up. But when i type ceph -s to check the cluster status it just gets stuck forever without any output. Any command that uses the word "ceph" in it just gets stuck. As a result i can't continue to build the cluster since i need to be able to use ceph commands after monitor deployments to install other services. Systemctl outputs are the same for all 3 monitors in the current state: