Evaggelos Balaskas - System Engineer

I’ve been using btrfs for a decade now (yes, than means 10y) on my setup (btw I use ArchLinux). I am using subvolumes and read-only snapshots with btrfs, but I have never created a script to automate my backups.

I KNOW, WHAT WAS I DOING ALL THESE YEARS!!

A few days ago, a dear friend asked me something about btrfs snapshots, and that question gave me the nudge to think about my btrfs subvolume snapshots and more specific how to automate them. A day later, I wrote a simple (I think so) script to do automate my backups.

The script as a gist

The script is online as a gist here: BTRFS: Automatic Snapshots Script . In this blog post, I’ll try to describe the requirements and what is my thinking. I waited a couple weeks so the cron (or systemd timer) script run itself and verify that everything works fine. Seems that it does (at least for now) and the behaviour is as expected. I will keep a static copy of my script in this blog post but any future changes should be done in the above gist.

Improvements

The script can be improved by many,many ways (check available space before run, measure the time of running, remove sudo, check if root is running the script, verify the partitions are on btrfs, better debugging, better reporting, etc etc). These are some of the ways of improving the script, I am sure you can think a million more - feel free to sent me your proposals. If I see something I like, I will incorporate them and attribute of-course. But be reminded that I am not driven by smart code, I prefer to have clear and simple code, something that everybody can easily read and understand.

Mount Points

To be completely transparent, I encrypt all my disks (usually with a random keyfile). I use btrfs raid1 on the disks and create many subvolumes on them. Everything exists outside of my primary ssd rootfs disk. So I use a small but fast ssd for my operating system and btrfs-raid1 for my “spinning rust” disks.

BTRFS subvolumes can be mounted as normal partitions and that is exactly what I’ve done with my home and opt. I keep everything that I’ve install outside of my distribution under opt.

This setup is very flexible as I can easy replace the disks when the storage is full by removing one by one of the disks from btrfs-raid1, remove-add the new larger disk, repair-restore raid, then remove the other disk, install the second and (re)balance the entire raid1 on them!

Although this is out of scope, I use a stub archlinux UEFI kernel so I do not have grub and my entire rootfs is also encrypted and btrfs!

mount -o subvolid=10701 LABEL="ST1000DX002" /home
mount -o subvolid=10657 LABEL="ST1000DX002" /opt

Declare variables

# paths MUST end with '/'
btrfs_paths=("/" "/home/" "/opt/")
timestamp=$(date +%Y%m%d_%H%M%S)
keep_snapshots=3
yymmdd="$(date +%Y/%m/%d)"
logfile="/var/log/btrfsSnapshot/${yymmdd}/btrfsSnapshot.log"

The first variable in the script is actually a bash array

btrfs_paths=("/" "/home/" "/opt/")

and all three (3) paths (rootfs, home & opt) are different mount points on different encrypted disks.

MUST end with / (forward slash), either-wise something catastrophic will occur to your system. Be very careful. Please, be very careful!

Next variable is the timestamp we will use, that will create something like

partition_YYYYMMDD_HHMMSS

After that is how many snapshots we would like to keep to our system. You can increase it to whatever you like. But be careful of the storage.

keep_snapshots=3

I like using shortcuts in shell scripts to reduce the long one-liners that some people think that it is alright. I dont, so

yymmdd="$(date +%Y/%m/%d)"

is one of these shortcuts !

Last, I like to have a logfile to review at a later time and see what happened.

logfile="/var/log/btrfsSnapshot/${yymmdd}/btrfsSnapshot.log"

Log Directory

for older dudes -like me- you know that you can not have all your logs under one directory but you need to structure them. The above yymmdd shortcut can help here. As I am too lazy to check if the directory already exist, I just (re)create the log directory that the script will use.

sudo mkdir -p "/var/log/btrfsSnapshot/${yymmdd}/"

For - Loop

We enter to the crucial part of the script. We are going to iterate our btrfs commands in a bash for-loop structure so we can run the same commands for all our partitions (variable: btrfs_paths)

for btrfs_path in "${btrfs_paths[@]}"; do
    <some commands>
done

Snapshot Directory

We need to have our snapshots in a specific location. So I chose .Snapshot/ under each partition. And I am silently (re)creating this directory -again I am lazy, someone should check if the directory/path already exist- just to be sure that the directory exist.

sudo mkdir -p "${btrfs_path}".Snapshot/

I am also using very frequently mlocate (updatedb) so to avoid having multiple (duplicates) in your index, do not forget to update updatedb.conf to exclude the snapshot directories.

PRUNENAMES = ".Snapshot"

How many snapshots are there?

Yes, how many ?

In order to learn this, we need to count them. I will try to skip every other subvolume that exist under the path and count only the read-only, snapshots under each partition.

sudo btrfs subvolume list -o -r -s "${btrfs_path}" | grep -c ".Snapshot/"

Delete Previous snapshots

At this point in the script, we are ready to delete all previous snapshots and only keep the latest or to be exact whatever the keep_snapshots variables says we should keep.

To do that, we are going to iterate via a while-loop (this is a nested loop inside the above for-loop)

while [ "${keep_snapshots}" -le "${list_btrfs_snap}" ]
do
  <some commands>
done

considering that the keep_snapshots is an integer, we iterate the delete command less or equal from the list of already btrfs existing snapshots.

Delete Command

To avoid mistakes, we delete by subvolume id and not by the name of the snapshot, under the btrfs path we listed above.

btrfs subvolume delete --subvolid "${prev_btrfs_snap}" "${btrfs_path}"

and we log the output of the command into our log

Delete subvolume (no-commit): '//.Snapshot/20221107_091028'

Create a new subvolume snapshot

And now we are going to create a new read-only snapshot under our btrfs subvolume.

btrfs subvolume snapshot -r "${btrfs_path}" "${btrfs_path}.Snapshot/${timestamp}"

the log entry will have something like:

Create a readonly snapshot of '/' in '/.Snapshot/20221111_000001'

That’s it !

Output

Log Directory Structure and output

sudo tree /var/log/btrfsSnapshot/2022/11/

/var/log/btrfsSnapshot/2022/11/
├── 07
│   └── btrfsSnapshot.log
├── 10
│   └── btrfsSnapshot.log
├── 11
│   └── btrfsSnapshot.log
└── 18
    └── btrfsSnapshot.log

4 directories, 4 files

sudo cat /var/log/btrfsSnapshot/2022/11/18/btrfsSnapshot.log

######## Fri, 18 Nov 2022 00:00:01 +0200 ########

Delete subvolume (no-commit): '//.Snapshot/20221107_091040'
Create a readonly snapshot of '/' in '/.Snapshot/20221118_000001'

Delete subvolume (no-commit): '/home//home/.Snapshot/20221107_091040'
Create a readonly snapshot of '/home/' in '/home/.Snapshot/20221118_000001'

Delete subvolume (no-commit): '/opt//opt/.Snapshot/20221107_091040'
Create a readonly snapshot of '/opt/' in '/opt/.Snapshot/20221118_000001'

Mount a read-only subvolume

As something extra for this article, I will mount a read-only subvolume, so you can see how it is done.

$ sudo btrfs subvolume list -o -r -s /

ID 462 gen 5809766 cgen 5809765 top level 5 otime 2022-11-10 18:11:20 path .Snapshot/20221110_181120
ID 463 gen 5810106 cgen 5810105 top level 5 otime 2022-11-11 00:00:01 path .Snapshot/20221111_000001
ID 464 gen 5819886 cgen 5819885 top level 5 otime 2022-11-18 00:00:01 path .Snapshot/20221118_000001

$ sudo mount -o subvolid=462 /media/
mount: /media/: can't find in /etc/fstab.

$ sudo mount -o subvolid=462 LABEL=rootfs /media/

$ df -HP /media/
Filesystem       Size  Used Avail Use% Mounted on
/dev/mapper/ssd  112G  9.1G  102G   9% /media

$ sudo touch /media/etc/ebal
touch: cannot touch '/media/etc/ebal': Read-only file system

$ sudo diff /etc/pacman.d/mirrorlist /media/etc/pacman.d/mirrorlist

294c294
< Server = http://ftp.ntua.gr/pub/linux/archlinux/$repo/os/$arch
---
> #Server = http://ftp.ntua.gr/pub/linux/archlinux/$repo/os/$arch

$ sudo umount /media

The Script

Last, but not least, the full script as was the date of this article.

#!/bin/bash
set -e

# ebal, Mon, 07 Nov 2022 08:49:37 +0200

## 0 0 * * Fri /usr/local/bin/btrfsSnapshot.sh

# paths MUST end with '/'
btrfs_paths=("/" "/home/" "/opt/")
timestamp=$(date +%Y%m%d_%H%M%S)
keep_snapshots=3
yymmdd="$(date +%Y/%m/%d)"
logfile="/var/log/btrfsSnapshot/${yymmdd}/btrfsSnapshot.log"

sudo mkdir -p "/var/log/btrfsSnapshot/${yymmdd}/"

echo "######## $(date -R) ########" | sudo tee -a "${logfile}"
echo "" | sudo tee -a "${logfile}"

for btrfs_path in "${btrfs_paths[@]}"; do

    ## Create Snapshot directory
    sudo mkdir -p "${btrfs_path}".Snapshot/

    ## How many Snapshots are there ?
    list_btrfs_snap=$(sudo btrfs subvolume list -o -r -s "${btrfs_path}" | grep -c ".Snapshot/")

    ## Get oldest rootfs btrfs snapshot
    while [ "${keep_snapshots}" -le "${list_btrfs_snap}" ]
    do
        prev_btrfs_snap=$(sudo btrfs subvolume list -o -r -s  "${btrfs_path}" | grep ".Snapshot/" | sort | head -1 | awk '{print $2}')

        ## Delete a btrfs snapshot by their subvolume id
        sudo btrfs subvolume delete --subvolid "${prev_btrfs_snap}" "${btrfs_path}" | sudo tee -a "${logfile}"

        list_btrfs_snap=$(sudo btrfs subvolume list -o -r -s "${btrfs_path}" | grep -c ".Snapshot/")
    done

    ## Create a new read-only btrfs snapshot
    sudo btrfs subvolume snapshot -r "${btrfs_path}" "${btrfs_path}.Snapshot/${timestamp}" | sudo tee -a "${logfile}"

    echo "" | sudo tee -a "${logfile}"

done

When creating a new Cloud Virtual Machine the cloud provider is copying a virtual disk as the base image (we called it mí̱tra or matrix) and starts your virtual machine from another virtual disk (or volume cloud disk) that in fact is a snapshot of the base image.

Just for the sake of this example, let us say that the base cloud image is the

jammy-server-cloudimg-amd64.img

When creating a new Libvirt (qemu/kvm) virtual machine, you can use this base image to start your VM instead of using an iso to install ubuntu 22.04 LTS. When choosing this image, then all changes will occur to that image and if you want to spawn another virtual machine, you need to (re)download it.

So instead of doing that, the best practice is to copy this image as base and start from a snapshot aka a baking file from that image. It is best because you can always quickly revert all your changes and (re)spawn the VM from the fresh/clean base image. Or you can always create another snapshot and revert if needed.

inspect images

To see how that works here is a local example from my linux machine.

qemu-img info /var/lib/libvirt/images/lEvXLA_tf-base.qcow2

image: /var/lib/libvirt/images/lEvXLA_tf-base.qcow2
file format: qcow2
virtual size: 2.2 GiB (2361393152 bytes)
disk size: 636 MiB
cluster_size: 65536
Format specific information:
    compat: 0.10
    compression type: zlib
    refcount bits: 16

the most important attributes to inspect are

virtual size: 2.2 GiB
disk size: 636 MiB

and the volume disk of my virtual machine

qemu-img info /var/lib/libvirt/images/lEvXLA_tf-vol.qcow2

image: /var/lib/libvirt/images/lEvXLA_tf-vol.qcow2
file format: qcow2
virtual size: 10 GiB (10737418240 bytes)
disk size: 1.6 GiB
cluster_size: 65536
backing file: /var/lib/libvirt/images/lEvXLA_tf-base.qcow2
backing file format: qcow2
Format specific information:
    compat: 0.10
    compression type: zlib
    refcount bits: 16

We see here

virtual size: 10 GiB
disk size: 1.6 GiB

cause I have extended the volume disk size to 10G from 2.2G , doing some updates and install some packages.

Now here is a problem.

I would like to use my own cloud image as base for some projects. It will help me speed things up and also do some common things I am usually doing in every setup.

If I copy the volume disk, then I will copy 1.6G of the snapshot disk. I can not use this as a base image. The volume disk contains only the delta from the base image!

baking file

Let’s first understand a bit better what is happening here

qemu-img info –backing-chain /var/lib/libvirt/images/lEvXLA_tf-vol.qcow2

image: /var/lib/libvirt/images/lEvXLA_tf-vol.qcow2
file format: qcow2
virtual size: 10 GiB (10737418240 bytes)
disk size: 1.6 GiB
cluster_size: 65536
backing file: /var/lib/libvirt/images/lEvXLA_tf-base.qcow2
backing file format: qcow2
Format specific information:
    compat: 0.10
    compression type: zlib
    refcount bits: 16

image: /var/lib/libvirt/images/lEvXLA_tf-base.qcow2
file format: qcow2
virtual size: 2.2 GiB (2361393152 bytes)
disk size: 636 MiB
cluster_size: 65536
Format specific information:
    compat: 0.10
    compression type: zlib
    refcount bits: 16

By inspecting the volume disk, we see that this image is chained to our base image.

disk size: 1.6 GiB
disk size: 636 MiB

Commit Volume

If we want to commit our volume changes to our base images, we need to commit them.

sudo qemu-img commit /var/lib/libvirt/images/lEvXLA_tf-vol.qcow2

Image committed.

Be aware, we commit our changes the volume disk => so our base will get the updates !!

Base Image

We need to see our base image grow we our changes

  disk size: 1.6 GiB
+ disk size: 636 MiB
=
  disk size: 2.11 GiB

and we can verify that by getting the image info (details)

qemu-img info /var/lib/libvirt/images/lEvXLA_tf-base.qcow2

image: /var/lib/libvirt/images/lEvXLA_tf-base.qcow2
file format: qcow2
virtual size: 10 GiB (10737418240 bytes)
disk size: 2.11 GiB
cluster_size: 65536
Format specific information:
    compat: 0.10
    compression type: zlib
    refcount bits: 16

That’s it !

Using Terraform for personal projects, is a good way to create your lab in a reproducible manner. Wherever your lab is, either in the “cloud” aka other’s people computers or in a self-hosted environment, you can run your Infrastructure as code (IaC) instead of performing manual tasks each time.

My preferable way is to use QEMU/KVM (Kernel Virtual Machine) on my libvirt (self-hosted) lab. You can quickly build a k8s cluster or test a few virtual machines with different software, without paying extra money to cloud providers.

Terraform uses a state file to store your entire infra in json format. This file will be the source of truth for your infrastructure. Any changes you make in the code, terraform will figure out what needs to add/destroy and run only what have changed.

Working in a single repository, terraform will create a local state file on your working directory. This is fast and reliable when working alone. When working with a team (either in an opensource project/service or it is something work related) you need to share the state with others. Eitherwise the result will be catastrophic as each person will have no idea of the infrastructure state of the service.

In this blog post, I will try to explain how to use GitLab to store the terraform state into a remote repository by using the tf backend: http which is REST.

Greate a new private GitLab Project

We need the Project ID which is under the project name in the top.

Create a new api token

Verify that your Project has the ability to store terraform state files

You are ready to clone the git repository to your system.

Backend

Reading the documentation in the below links

• GitLab-managed Terraform state
• Backend Type: http

seems that the only thing we need to do, is to expand our terraform project with this:

terraform {
  backend "http" {
  }
}

Doing that, we inform our IaC that our terraform backend should be a remote address.

Took me a while to figure this out, but after re-reading all the necessary documentation materials the idea is to declare your backend on gitlab and to do this, we need to initialize the http backend.

The only Required configuration setting is the remote address and should be something like this:

terraform {
  backend "http" {
    address = "https://gitlab.com/api/v4/projects/<PROJECT_ID>/terraform/state/<STATE_NAME>"
  }
}

Where PROJECT_ID and STATE_NAME are relative to your project.

In this article, we go with

GITLAB_PROJECT_ID="40961586"
GITLAB_TF_STATE_NAME="tf_state"

Terraform does not allow to use variables in the backend http, so the preferable way is to export them to our session.

and we -of course- need the address:

TF_HTTP_ADDRESS="https://gitlab.com/api/v4/projects/${GITLAB_PROJECT_ID}/terraform/state/${GITLAB_TF_STATE_NAME}"

For convience reasons, I will create a file named: terraform.config outside of this git repo

cat > ../terraform.config <<EOF
export -p GITLAB_PROJECT_ID="40961586"
export -p GITLAB_TF_STATE_NAME="tf_state"
export -p GITLAB_URL="https://gitlab.com/api/v4/projects"

# Address
export -p TF_HTTP_ADDRESS="${GITLAB_URL}/${GITLAB_PROJECT_ID}/terraform/state/${GITLAB_TF_STATE_NAME}"

EOF

source ../terraform.config

this should do the trick.

Authentication

In order to authenticate via tf against GitLab to store the tf remote state, we need to also set two additional variables:

# Authentication
TF_HTTP_USERNAME="api"
TF_HTTP_PASSWORD="<TOKEN>"

put them in the above terraform.config file.

Pretty much we are done!

Initialize Terraform

source ../terraform.config 

terraform init

Initializing the backend...

Successfully configured the backend "http"! Terraform will automatically
use this backend unless the backend configuration changes.

Initializing provider plugins...
- Finding latest version of hashicorp/http...
- Finding latest version of hashicorp/random...
- Finding latest version of hashicorp/template...
- Finding dmacvicar/libvirt versions matching ">= 0.7.0"...
- Installing hashicorp/random v3.4.3...
- Installed hashicorp/random v3.4.3 (signed by HashiCorp)
- Installing hashicorp/template v2.2.0...
- Installed hashicorp/template v2.2.0 (signed by HashiCorp)
- Installing dmacvicar/libvirt v0.7.0...
- Installed dmacvicar/libvirt v0.7.0 (unauthenticated)
- Installing hashicorp/http v3.2.1...
- Installed hashicorp/http v3.2.1 (signed by HashiCorp)

Terraform has created a lock file .terraform.lock.hcl to record the provider
selections it made above. Include this file in your version control repository
so that Terraform can guarantee to make the same selections by default when
you run "terraform init" in the future.

...

Terraform has been successfully initialized!

You may now begin working with Terraform. Try running "terraform plan" to see
any changes that are required for your infrastructure. All Terraform commands
should now work.

If you ever set or change modules or backend configuration for Terraform,
rerun this command to reinitialize your working directory. If you forget, other
commands will detect it and remind you to do so if necessary.

Remote state

by running

terraform plan

we can now see the remote terraform state in the gitlab

Opening Actions –> Copy terraform init command we can see the below configuration:

export GITLAB_ACCESS_TOKEN=<YOUR-ACCESS-TOKEN>

terraform init
    -backend-config="address=https://gitlab.com/api/v4/projects/40961586/terraform/state/tf_state"
    -backend-config="lock_address=https://gitlab.com/api/v4/projects/40961586/terraform/state/tf_state/lock"
    -backend-config="unlock_address=https://gitlab.com/api/v4/projects/40961586/terraform/state/tf_state/lock"
    -backend-config="username=api"
    -backend-config="password=$GITLAB_ACCESS_TOKEN"
    -backend-config="lock_method=POST"
    -backend-config="unlock_method=DELETE"
    -backend-config="retry_wait_min=5"

Update terraform backend configuration

I dislike running a “long” terraform init command, so we will put these settings to our tf code.

Separating the static changes from the dynamic, our Backend http config can become something like this:

terraform {
  backend "http" {
    lock_method    = "POST"
    unlock_method  = "DELETE"
    retry_wait_min = 5
  }
}

but we need to update our terraform.config once more, to include all the variables of the http backend configuration for locking and unlocking the state.

# Lock
export -p TF_HTTP_LOCK_ADDRESS="${TF_HTTP_ADDRESS}/lock"

# Unlock
export -p TF_HTTP_UNLOCK_ADDRESS="${TF_HTTP_ADDRESS}/lock"

Terraform Config

So here is our entire terraform config file

# GitLab

export -p GITLAB_URL="https://gitlab.com/api/v4/projects"
export -p GITLAB_PROJECT_ID="<>"
export -p GITLAB_TF_STATE_NAME="tf_state"

# Terraform

# Address
export -p TF_HTTP_ADDRESS="${GITLAB_URL}/${GITLAB_PROJECT_ID}/terraform/state/${GITLAB_TF_STATE_NAME}"

# Lock
export -p TF_HTTP_LOCK_ADDRESS="${TF_HTTP_ADDRESS}/lock"

# Unlock
export -p TF_HTTP_UNLOCK_ADDRESS="${TF_HTTP_ADDRESS}/lock"

# Authentication
export -p TF_HTTP_USERNAME="api"
export -p TF_HTTP_PASSWORD="<>"

And pretty much that’s it!

Other Colleagues

So in order our team mates/colleagues want to make changes to this specific gitlab repo (or even extended to include a pipeline) they need

1. Git clone the repo
2. Edit the terraform.config
3. Initialize terraform (terraform init)

And terraform will use the remote state file.

In the last few months of this year, a business question exists in all our minds:

-Can we reduce Cost ?
-Are there any legacy cloud resources that we can remove ?

The answer is YES, it is always Yes. It is part of your Technical Debt (remember that?).

In our case we had to check a few cloud resources, but the most impressive were our Object Storage Service that in the past we were using Buckets and Objects as backup volumes … for databases … database clusters!!

So let’s find out what is our Techinical Debt in our OBS … ~ 1.8PB . One petabyte holds 1000 terabytes (TB), One terabyte holds 1000 gigabytes (GB).

We have confirmed with our colleagues and scheduled the decomissions of these legacy buckets/objects. We’ve noticed that a few of them are in TB sizes with million of objects and in some cases with not a hierarchy structure (paths) so there is an issue with command line tools or web UI tools.

The problem is called LISTING and/or PAGING.

That means we can not list in a POSIX way (nerdsssss) all our objects so we can try delete them. We need to PAGE them in 50 or 100 objects and that means we need to batch our scripts. This could be a very long/time based job.

Then after a couple days of reading manuals (remember these ?), I found that we can create a Lifecycle Policy to our Buckets !!!

But before going on to setup the Lifecycle policy, just a quick reminder how the Object Lifecycle works

The objects can be in Warm/Cold or in Expired State as buckets support versioning. This has to do with the retention policy of logs/data.

So in order to automatically delete ALL objects from a bucket, we need to setup up the Expire Time to 1 day.

Then you have to wait for 24h and next day

yehhhhhhhhhhhh !

PS. Caveat Remember BEFORE all that, do disable Logging as the default setting is to log every action to a local log path, inside the Bucket.

In this blog post, I’ll try to share my personal notes on how to setup a kubernetes cluster with kubeadm on ubuntu 22.04 LTS Virtual Machines.

I am going to use three (3) Virtual Machines in my local lab. My home lab is based on libvirt Qemu/KVM (Kernel-based Virtual Machine) and I run Terraform as the infrastructure provision tool.

There is a copy of this blog post to github.

https://github.com/ebal/k8s_cluster

If you notice something wrong you can either contact me via the contact page, or open a PR in the github project.

you can also follow me at twitter: https://twitter.com/ebalaskas

Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications.

• Prerequisites
• Git Terraform Code for the kubernetes cluster
  • Ubuntu 22.04 Image
• Control-Plane Node
  • Ports on the control-plane node
  • Firewall on the control-plane node
  • Hosts file in the control-plane node
  • No Swap on the control-plane node
  • Kernel modules on the control-plane node
  • NeedRestart on the control-plane node
  • Installing a Container Runtime on the control-plane node
  • Installing kubeadm, kubelet and kubectl on the control-plane node
  • Initializing the control-plane node
  • Create user access config to the k8s control-plane node
  • Verify the control-plane node
  • Install an overlay network provider on the control-plane node
  • Verify CoreDNS is running on the control-plane node
• Worker Nodes
  • Ports on the worker nodes
  • Firewall on the worker nodes
  • Hosts file in the worker node
  • No Swap on the worker node
  • Kernel modules on the worker node
  • NeedRestart on the worker node
  • Installing a Container Runtime on the worker node
  • Installing kubeadm, kubelet and kubectl on the worker node
  • Get Token from the control-plane node
  • Get Certificate Hash from the control-plane node
  • Join Workers to the kubernetes cluster
• Is the kubernetes cluster running ?
• Kubernetes Dashboard
  • Install kubernetes dashboard
  • Add a Node Port to kubernetes dashboard
  • Patch kubernetes-dashboard
  • Edit kubernetes-dashboard Service
  • Accessing Kubernetes Dashboard
  • Create An Authentication Token (RBAC)
  • Creating a Service Account
  • Creating a ClusterRoleBinding
  • Getting a Bearer Token
  • Browsing Kubernetes Dashboard
• Nginx App
  • Install nginx-app
  • Get Deployment
  • Expose Nginx-App
  • Verify Service nginx-app
  • Describe Service nginx-app
  • Curl Nginx-App
  • Nginx-App from Browser
• That’s it !

git clone https://github.com/ebal/k8s_cluster.git
cd tf_libvirt

terraform init

./start.sh

...
Apply complete! Resources: 16 added, 0 changed, 0 destroyed.

Outputs:

VMs = [
  "192.168.122.169  k8scpnode",
  "192.168.122.40   k8wrknode1",
  "192.168.122.8    k8wrknode2",
]

ssh  -l ubuntu 192.168.122.169

../jammy-server-cloudimg-amd64.img

cd ../
curl -sLO https://cloud-images.ubuntu.com/jammy/current/focal-server-cloudimg-amd64.img
cd -

sudo ufw allow 6443/tcp
sudo ufw allow 2379:2380/tcp
sudo ufw allow 10250/tcp
sudo ufw allow 10259/tcp
sudo ufw allow 10257/tcp

#sudo ufw disable
sudo ufw status

To                         Action      From
--                         ------      ----
22/tcp                     ALLOW       Anywhere
6443/tcp                   ALLOW       Anywhere
2379:2380/tcp              ALLOW       Anywhere
10250/tcp                  ALLOW       Anywhere
10259/tcp                  ALLOW       Anywhere
10257/tcp                  ALLOW       Anywhere
22/tcp (v6)                ALLOW       Anywhere (v6)
6443/tcp (v6)              ALLOW       Anywhere (v6)
2379:2380/tcp (v6)         ALLOW       Anywhere (v6)
10250/tcp (v6)             ALLOW       Anywhere (v6)
10259/tcp (v6)             ALLOW       Anywhere (v6)
10257/tcp (v6)             ALLOW       Anywhere (v6)

echo $(hostname -I) $(hostname) | sudo tee -a /etc/hosts

192.168.122.169  k8scpnode
192.168.122.40   k8wrknode1
192.168.122.8    k8wrknode2

sudo swapoff -a

sudo grep -i swap /etc/fstab

sudo tee /etc/modules-load.d/kubernetes.conf <<EOF
overlay
br_netfilter
EOF

sudo modprobe overlay
sudo modprobe br_netfilter

sudo lsmod | grep netfilter

sudo tee /etc/sysctl.d/kubernetes.conf <<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
EOF

sudo sysctl --system

echo "\$nrconf{restart} = 'a';" | sudo tee -a /etc/needrestart/needrestart.conf

curl -sL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/trusted.gpg.d/docker-keyring.gpg

sudo apt-add-repository -y "deb https://download.docker.com/linux/ubuntu jammy stable"

sleep 5

sudo apt -y install containerd.io

containerd config default                              \
 | sed 's/SystemdCgroup = false/SystemdCgroup = true/' \
 | sudo tee /etc/containerd/config.toml

sudo systemctl restart containerd.service

systemd cgroup driver

sudo curl -sLo /etc/apt/trusted.gpg.d/kubernetes-keyring.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg

sudo apt-add-repository -y "deb http://apt.kubernetes.io/ kubernetes-xenial main"

sleep 5

sudo apt install -y kubelet kubeadm kubectl

sudo kubeadm config images pull

sudo kubeadm init --pod-network-cidr=10.244.0.0/16

rm -rf $HOME/.kube

mkdir -p $HOME/.kube

sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config

sudo chown $(id -u):$(id -g) $HOME/.kube/config

ls -la $HOME/.kube/config

alias k="kubectl"

kubectl cluster-info
#kubectl cluster-info dump

k get nodes -o wide; k get pods  -A -o wide

k apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

$ k get nodes -o wide

NAME        STATUS   ROLES           AGE   VERSION   INTERNAL-IP       EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
k8scpnode   Ready    control-plane   54s   v1.25.0   192.168.122.169   <none>        Ubuntu 22.04.1 LTS   5.15.0-46-generic   containerd://1.6.8

$ k get pods -A -o wide

NAMESPACE    NAME                              READY STATUS  RESTARTS AGE IP              NODE      NOMINATED NODE READINESS GATES
kube-flannel kube-flannel-ds-zqv2b             1/1   Running 0        36s 192.168.122.169 k8scpnode <none>         <none>
kube-system  coredns-565d847f94-lg54q          1/1   Running 0        38s 10.244.0.2      k8scpnode <none>         <none>
kube-system  coredns-565d847f94-ms8zk          1/1   Running 0        38s 10.244.0.3      k8scpnode <none>         <none>
kube-system  etcd-k8scpnode                    1/1   Running 0        50s 192.168.122.169 k8scpnode <none>         <none>
kube-system  kube-apiserver-k8scpnode          1/1   Running 0        50s 192.168.122.169 k8scpnode <none>         <none>
kube-system  kube-controller-manager-k8scpnode 1/1   Running 0        50s 192.168.122.169 k8scpnode <none>         <none>
kube-system  kube-proxy-pv7tj                  1/1   Running 0        39s 192.168.122.169 k8scpnode <none>         <none>
kube-system  kube-scheduler-k8scpnode          1/1   Running 0        50s 192.168.122.169 k8scpnode <none>         <none>

sudo ufw allow 10250/tcp
sudo ufw allow 30000:32767/tcp

sudo ufw status

To                         Action      From
--                         ------      ----
22/tcp                     ALLOW       Anywhere
10250/tcp                  ALLOW       Anywhere
30000:32767/tcp            ALLOW       Anywhere
22/tcp (v6)                ALLOW       Anywhere (v6)
10250/tcp (v6)             ALLOW       Anywhere (v6)
30000:32767/tcp (v6)       ALLOW       Anywhere (v6)

192.168.122.169  k8scpnode
192.168.122.40   k8wrknode1
192.168.122.8    k8wrknode2

sudo swapoff -a

sudo tee /etc/modules-load.d/kubernetes.conf <<EOF
overlay
br_netfilter
EOF

sudo modprobe overlay
sudo modprobe br_netfilter

sudo lsmod | grep netfilter

sudo tee /etc/sysctl.d/kubernetes.conf <<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
EOF

sudo sysctl --system

echo "\$nrconf{restart} = 'a';" | sudo tee -a /etc/needrestart/needrestart.conf

curl -sL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/trusted.gpg.d/docker-keyring.gpg

sudo apt-add-repository -y "deb https://download.docker.com/linux/ubuntu jammy stable"

sleep 5

sudo apt -y install containerd.io

containerd config default                              \
 | sed 's/SystemdCgroup = false/SystemdCgroup = true/' \
 | sudo tee /etc/containerd/config.toml

sudo systemctl restart containerd.service

sudo curl -sLo /etc/apt/trusted.gpg.d/kubernetes-keyring.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg

sudo apt-add-repository -y "deb http://apt.kubernetes.io/ kubernetes-xenial main"

sleep 5

sudo apt install -y kubelet kubeadm kubectl

sudo kubeadm config images pull

sudo kubeadm  token list

TOKEN                     TTL         EXPIRES                USAGES                   DESCRIPTION                                                EXTRA GROUPS
zt36bp.uht4cziweef1jo1h   23h         2022-08-31T18:38:16Z   authentication,signing   The default bootstrap token generated by 'kubeadm init'.   system:bootstrappers:kubeadm:default-node-token

zt36bp.uht4cziweef1jo1h

openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | openssl dgst -sha256 -hex | sed 's/^.* //'

a4833f8c82953370610efaa5ed93b791337232c3a948b710b2435d747889c085

sudo kubeadm join 192.168.122.169:6443 \
       --token zt36bp.uht4cziweef1jo1h \
       --discovery-token-ca-cert-hash sha256:a4833f8c82953370610efaa5ed93b791337232c3a948b710b2435d747889c085

kubectl get nodes   -o wide
kubectl get pods -A -o wide

NAME         STATUS   ROLES           AGE     VERSION   INTERNAL-IP       EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
k8scpnode    Ready    control-plane   64m     v1.25.0   192.168.122.169   <none>        Ubuntu 22.04.1 LTS   5.15.0-46-generic   containerd://1.6.8
k8wrknode1   Ready    <none>          2m32s   v1.25.0   192.168.122.40    <none>        Ubuntu 22.04.1 LTS   5.15.0-46-generic   containerd://1.6.8
k8wrknode2   Ready    <none>          2m28s   v1.25.0   192.168.122.8     <none>        Ubuntu 22.04.1 LTS   5.15.0-46-generic   containerd://1.6.8

NAMESPACE      NAME                                READY   STATUS    RESTARTS      AGE     IP                NODE         NOMINATED NODE   READINESS GATES
kube-flannel   kube-flannel-ds-52g92               1/1     Running   0             2m32s   192.168.122.40    k8wrknode1   <none>           <none>
kube-flannel   kube-flannel-ds-7qlm7               1/1     Running   0             2m28s   192.168.122.8     k8wrknode2   <none>           <none>
kube-flannel   kube-flannel-ds-zqv2b               1/1     Running   0             64m     192.168.122.169   k8scpnode    <none>           <none>
kube-system    coredns-565d847f94-lg54q            1/1     Running   0             64m     10.244.0.2        k8scpnode    <none>           <none>
kube-system    coredns-565d847f94-ms8zk            1/1     Running   0             64m     10.244.0.3        k8scpnode    <none>           <none>
kube-system    etcd-k8scpnode                      1/1     Running   0             64m     192.168.122.169   k8scpnode    <none>           <none>
kube-system    kube-apiserver-k8scpnode            1/1     Running   0             64m     192.168.122.169   k8scpnode    <none>           <none>
kube-system    kube-controller-manager-k8scpnode   1/1     Running   1 (12m ago)   64m     192.168.122.169   k8scpnode    <none>           <none>
kube-system    kube-proxy-4khw6                    1/1     Running   0             2m32s   192.168.122.40    k8wrknode1   <none>           <none>
kube-system    kube-proxy-gm27l                    1/1     Running   0             2m28s   192.168.122.8     k8wrknode2   <none>           <none>
kube-system    kube-proxy-pv7tj                    1/1     Running   0             64m     192.168.122.169   k8scpnode    <none>           <none>
kube-system    kube-scheduler-k8scpnode            1/1     Running   1 (12m ago)   64m     192.168.122.169   k8scpnode    <none>           <none>

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.6.1/aio/deploy/recommended.yaml

namespace/kubernetes-dashboard created
serviceaccount/kubernetes-dashboard created
service/kubernetes-dashboard created
secret/kubernetes-dashboard-certs created
secret/kubernetes-dashboard-csrf created
secret/kubernetes-dashboard-key-holder created
configmap/kubernetes-dashboard-settings created
role.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrole.rbac.authorization.k8s.io/kubernetes-dashboard created
rolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
deployment.apps/kubernetes-dashboard created
service/dashboard-metrics-scraper created
deployment.apps/dashboard-metrics-scraper created

kubectl get all -n kubernetes-dashboard

NAME                                             READY   STATUS    RESTARTS   AGE
pod/dashboard-metrics-scraper-64bcc67c9c-kvll7   1/1     Running   0          2m16s
pod/kubernetes-dashboard-66c887f759-rr4gn        1/1     Running   0          2m16s

NAME                                TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)    AGE
service/dashboard-metrics-scraper   ClusterIP   10.110.25.61    <none>        8000/TCP   2m16s
service/kubernetes-dashboard        ClusterIP   10.100.65.122   <none>        443/TCP    2m16s

NAME                                        READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/dashboard-metrics-scraper   1/1     1            1           2m16s
deployment.apps/kubernetes-dashboard        1/1     1            1           2m16s

NAME                                                   DESIRED   CURRENT   READY   AGE
replicaset.apps/dashboard-metrics-scraper-64bcc67c9c   1         1         1       2m16s
replicaset.apps/kubernetes-dashboard-66c887f759        1         1         1       2m16s

kubectl --namespace kubernetes-dashboard patch svc kubernetes-dashboard -p '{"spec": {"type": "NodePort"}}'

service/kubernetes-dashboard patched

kubectl get svc -n kubernetes-dashboard

NAME                        TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)         AGE
dashboard-metrics-scraper   ClusterIP   10.110.25.61    <none>        8000/TCP        11m
kubernetes-dashboard        NodePort    10.100.65.122   <none>        443:32709/TCP   11m

kubectl edit svc -n kubernetes-dashboard kubernetes-dashboard

type: ClusterIP

type: NodePort

kubectl get pods -n kubernetes-dashboard -o wide

NAME                                         READY   STATUS    RESTARTS   AGE     IP           NODE         NOMINATED NODE   READINESS GATES
dashboard-metrics-scraper-64bcc67c9c-fs7pt   1/1     Running   0          2m43s   10.244.1.9   k8wrknode1   <none>           <none>
kubernetes-dashboard-66c887f759-pzt4z        1/1     Running   0          2m44s   10.244.2.9   k8wrknode2   <none>           <none>

k get svc -n kubernetes-dashboard -o wide

https://192.168.122.8:32709

cat > kubernetes-dashboard.ServiceAccount.yaml <<EOF
apiVersion: v1
kind: ServiceAccount
metadata:
  name: admin-user
  namespace: kubernetes-dashboard

EOF

kubectl apply -f kubernetes-dashboard.ServiceAccount.yaml

serviceaccount/admin-user created

cat > kubernetes-dashboard.ClusterRoleBinding.yaml <<EOF
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: admin-user
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount
  name: admin-user
  namespace: kubernetes-dashboard

EOF

kubectl apply -f kubernetes-dashboard.ClusterRoleBinding.yaml

clusterrolebinding.rbac.authorization.k8s.io/admin-user created

kubectl -n kubernetes-dashboard create token admin-user

eyJhbGciOiJSUzI1NiIsImtpZCI6Im04M2JOY2k1Yk1hbFBhLVN2cjA4X1pkdktXNldqWkR4bjB6MGpTdFgtVHcifQ.eyJhdWQiOlsiaHR0cHM6Ly9rdWJlcm5ldGVzLmRlZmF1bHQuc3ZjLmNsdXN0ZXIubG9jYWwiXSwiZXhwIjoxNjYxOTU2NDQ1LCJpYXQiOjE2NjE5NTI4NDUsImlzcyI6Imh0dHBzOi8va3ViZXJuZXRlcy5kZWZhdWx0LnN2Yy5jbHVzdGVyLmxvY2FsIiwia3ViZXJuZXRlcy5pbyI6eyJuYW1lc3BhY2UiOiJrdWJlcm5ldGVzLWRhc2hib2FyZCIsInNlcnZpY2VhY2NvdW50Ijp7Im5hbWUiOiJhZG1pbi11c2VyIiwidWlkIjoiN2M4OWIyZDktMGIwYS00ZDg4LTk2Y2EtZDU3NjhjOWU2ZGYxIn19LCJuYmYiOjE2NjE5NTI4NDUsInN1YiI6InN5c3RlbTpzZXJ2aWNlYWNjb3VudDprdWJlcm5ldGVzLWRhc2hib2FyZDphZG1pbi11c2VyIn0.RMRQkZZhcoC5vCvck6hKfqXJ4dfN4JoQyAaClHZvOMI6JgQZEfB2-_Qsh5MfFApJUEit-0TX9r3CzW3JqvB7dmpTPxUQvHK68r82WGveBVp1wF37UyXu_IzxiCQzpCWYr3GcVGAGZVBbhhqNYm765FV02ZA_khHrW3WpB80ikhm_TNLkOS6Llq2UiLFZyHHmjl5pwvGzT7YXZe8s-llZSgc0UenEwPG-82eE279oOy6r4_NltoV1HB3uu0YjUJPlkqAPnHuSfAA7-8A3XAAVHhRQvFPea1qZLc4-oD24AcU0FjWqDMILEyE8zaD2ci8zEQBMoxcf2qmj0wn9cfbZwQ

kubectl create deployment nginx-app --image=nginx --replicas=2

deployment.apps/nginx-app created

kubectl get deployment nginx-app -o wide

NAME        READY   UP-TO-DATE   AVAILABLE   AGE   CONTAINERS   IMAGES   SELECTOR
nginx-app   2/2     2            2           64s   nginx        nginx    app=nginx-app

kubectl expose deployment nginx-app --type=NodePort --port=80

service/nginx-app exposed

kubectl get svc nginx-app -o wide

NAME        TYPE       CLUSTER-IP      EXTERNAL-IP   PORT(S)        AGE   SELECTOR
nginx-app   NodePort   10.98.170.185   <none>        80:31761/TCP   27s   app=nginx-app

kubectl describe svc nginx-app

Name:                     nginx-app
Namespace:                default
Labels:                   app=nginx-app
Annotations:              <none>
Selector:                 app=nginx-app
Type:                     NodePort
IP Family Policy:         SingleStack
IP Families:              IPv4
IP:                       10.98.170.185
IPs:                      10.98.170.185
Port:                     <unset>  80/TCP
TargetPort:               80/TCP
NodePort:                 <unset>  31761/TCP
Endpoints:                10.244.1.10:80,10.244.2.10:80
Session Affinity:         None
External Traffic Policy:  Cluster
Events:                   <none>

curl http://192.168.122.8:31761

<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
html { color-scheme: light dark; }
body { width: 35em; margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif; }
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>
</body>
</html>

./destroy.sh

...

libvirt_domain.domain-ubuntu["k8wrknode1"]: Destroying... [id=446cae2a-ce14-488f-b8e9-f44839091bce]
libvirt_domain.domain-ubuntu["k8scpnode"]: Destroying... [id=51e12abb-b14b-4ab8-b098-c1ce0b4073e3]
time_sleep.wait_for_cloud_init: Destroying... [id=2022-08-30T18:02:06Z]
libvirt_domain.domain-ubuntu["k8wrknode2"]: Destroying... [id=0767fb62-4600-4bc8-a94a-8e10c222b92e]
time_sleep.wait_for_cloud_init: Destruction complete after 0s
libvirt_domain.domain-ubuntu["k8wrknode1"]: Destruction complete after 1s
libvirt_domain.domain-ubuntu["k8scpnode"]: Destruction complete after 1s
libvirt_domain.domain-ubuntu["k8wrknode2"]: Destruction complete after 1s
libvirt_cloudinit_disk.cloud-init["k8wrknode1"]: Destroying... [id=/var/lib/libvirt/images/Jpw2Sg_cloud-init.iso;b8ddfa73-a770-46de-ad16-b0a5a08c8550]
libvirt_cloudinit_disk.cloud-init["k8wrknode2"]: Destroying... [id=/var/lib/libvirt/images/VdUklQ_cloud-init.iso;5511ed7f-a864-4d3f-985a-c4ac07eac233]
libvirt_volume.ubuntu-base["k8scpnode"]: Destroying... [id=/var/lib/libvirt/images/l5Rr1w_ubuntu-base]
libvirt_volume.ubuntu-base["k8wrknode2"]: Destroying... [id=/var/lib/libvirt/images/VdUklQ_ubuntu-base]
libvirt_cloudinit_disk.cloud-init["k8scpnode"]: Destroying... [id=/var/lib/libvirt/images/l5Rr1w_cloud-init.iso;11ef6bb7-a688-4c15-ae33-10690500705f]
libvirt_volume.ubuntu-base["k8wrknode1"]: Destroying... [id=/var/lib/libvirt/images/Jpw2Sg_ubuntu-base]
libvirt_cloudinit_disk.cloud-init["k8wrknode1"]: Destruction complete after 1s
libvirt_volume.ubuntu-base["k8wrknode2"]: Destruction complete after 1s
libvirt_cloudinit_disk.cloud-init["k8scpnode"]: Destruction complete after 1s
libvirt_cloudinit_disk.cloud-init["k8wrknode2"]: Destruction complete after 1s
libvirt_volume.ubuntu-base["k8wrknode1"]: Destruction complete after 1s
libvirt_volume.ubuntu-base["k8scpnode"]: Destruction complete after 2s
libvirt_volume.ubuntu-vol["k8wrknode1"]: Destroying... [id=/var/lib/libvirt/images/Jpw2Sg_ubuntu-vol]
libvirt_volume.ubuntu-vol["k8scpnode"]: Destroying... [id=/var/lib/libvirt/images/l5Rr1w_ubuntu-vol]
libvirt_volume.ubuntu-vol["k8wrknode2"]: Destroying... [id=/var/lib/libvirt/images/VdUklQ_ubuntu-vol]
libvirt_volume.ubuntu-vol["k8scpnode"]: Destruction complete after 0s
libvirt_volume.ubuntu-vol["k8wrknode2"]: Destruction complete after 0s
libvirt_volume.ubuntu-vol["k8wrknode1"]: Destruction complete after 0s
random_id.id["k8scpnode"]: Destroying... [id=l5Rr1w]
random_id.id["k8wrknode2"]: Destroying... [id=VdUklQ]
random_id.id["k8wrknode1"]: Destroying... [id=Jpw2Sg]
random_id.id["k8wrknode2"]: Destruction complete after 0s
random_id.id["k8scpnode"]: Destruction complete after 0s
random_id.id["k8wrknode1"]: Destruction complete after 0s

Destroy complete! Resources: 16 destroyed.

export GITLAB_API="glpat-HldkXzyurwBmroAdQCMo"

curl -sL --header "PRIVATE-TOKEN: ${GITLAB_API}" "https://gitlab.com/api/v4/projects?owned=true" | jq .[].path_with_namespace

export PROJECT="terraform-provider/terraform-provider-hcloud-ci"

curl -sL --header "PRIVATE-TOKEN: ${GITLAB_API}" "https://gitlab.com/api/v4/projects?owned=true&search=${PROJECT}&search_namespaces=true" | jq -r .[].id

export ID=$(curl -sL --header "PRIVATE-TOKEN: ${GITLAB_API}" "https://gitlab.com/api/v4/projects?owned=true&search=${PROJECT}&search_namespaces=true" | jq -r .[].id)

curl -sL \
  --header "PRIVATE-TOKEN: ${GITLAB_API}" \
  https://gitlab.com/api/v4/projects/${ID}/pipelines | jq .

curl -sL --header "PRIVATE-TOKEN: ${GITLAB_API}"   "https://gitlab.com/api/v4/projects/${ID}/pipelines?per_page=150"  \
 | jq  -r .[].id    \
 | awk '{print "curl -sL --header \"PRIVATE-TOKEN: ${GITLAB_API}\" --request DELETE https://gitlab.com/api/v4/projects/${ID}/pipelines/"$1}'   \
 | sh -x

[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:727)

proxy_url = "http://{proxy}/".format(**cfg)
proxy_handler = urllib2.ProxyHandler({ 'http' : proxy_url })

opener = urllib2.build_opener(proxy_handler)
response = opener.open(cfg["url"])
return response

import ssl

ssl.create_default_context(purpose=Purpose.SERVER_AUTH, cafile=None, capath=None, cadata=None)¶

ctx = ssl.create_default_context(cafile="/etc/certs/ca.pem")

handler = urllib2.HTTPSHandler(context=ctx)

## Create SSLContext with CA file to pass to handler
ctx = ssl.create_default_context(cafile="/etc/csi.certs/vm2csi/ca.pem")

## Create an HTTPS Handler with our custom SSL Context
handler = urllib2.HTTPSHandler(context=ctx)

## Create a Proxy Handler
proxy_handler = urllib2.ProxyHandler({ 'http' : proxy_url })

## Stitch together the proxy and https handlers to build an opener
opener = urllib2.build_opener(proxy_handler,handler)

## Get the response
response = opener.open(cfg["url"])
return response