Tag: Script

Two pages from an old notebook with slightly yellowing paper, and black ink cursive writing and occasional doodles filling the pages

This little #bash script will make capturing #output from lots of #scripts a lot easier

JonTheNiceGuy Leave a comment

A while ago, I was asked to capture a LOT of data for a support case, where they wanted lots of commands to be run, like “kubectl get namespace” and then for each namespace, get all the pods with “kubectl get pods -n $namespace” and then describe each pod with “kubectl get pod -n namespace $podname”. Then do the same with all the services, deployments, ingresses and endpoints.

I wrote this function, and a supporting script to execute the actual checks, and just found it while clearing up!

#!/bin/bash

filename="$(echo $* | sed -E -e 's~[ -/\\]~_~g').log"
echo "\$ $@" | tee "${filename}"
$@ 2>&1 | tee -a "${filename}"

This script is quite simple, it does three things

  1. Take the command you’re about to run, strip all the non-acceptable-filename characters out and replace them with underscores, and turn that into the output filename.
  2. Write the command into the output file, replacing any prior versions of that file
  3. Execute the command, and append the log to the output file.

So, how do you use this? Simple

log_result my-command --with --all --the options

This will produce a file called my-command_--with_--all_--the_options.log that contains this content:

$ my-command --with --all --the options
Congratulations, you ran my-command and turned on the options "--with --all --the options". Nice one!

… oh, and the command I ran to capture the data for the support case?

log_result kubectl get namespace
for TYPE in pod ingress service deployment endpoints
do
  for ns in $(kubectl get namespace | grep -v NAME | awk '{print $1}' )
  do
    echo $ns
    for item in $(kubectl get $TYPE -n $ns | grep -v NAME | awk '{print $1}')
    do
      log_result kubectl get $TYPE -n $ns $item -o yaml
      log_result kubectl describe $TYPE -n $ns $item
    done
  done
done

Featured image is “Travel log texture” by “Mary Vican” on Flickr and is released under a CC-BY license.

A photo of a conch shell in front of a blurry photo frame.

Why (and how) I’ve started writing my Shell Scripts in Python

JonTheNiceGuy 2 Comments

I’ve been using Desktop Linux for probably 15 years, and Server Linux for more like 25 in one form or another. One of the things you learn to write pretty early on in Linux System Administration is Bash Scripting. Here’s a great example

#!/bin/bash

i = 0
until [ $i -eq 10 ]
do
  print "Jon is the best!"
  (( i += 1 ))
done

Bash scripts are pretty easy to come up with, you just write the things you’d type into the interactive shell, and it does those same things for you! Yep, it’s pretty hard not to love Bash for a shell script. Oh, and it’s portable too! You can write the same Bash script for one flavour of Linux (like Ubuntu), and it’s probably going to work on another flavour of Linux (like RedHat Enterprise Linux, or Arch, or OpenWRT).

But. There comes a point where a Bash script needs to be more than just a few commands strung together.

At work, I started writing a “simple” installer for a Kubernetes cluster – it provisions the cloud components with Terraform, and then once they’re done, it then starts talking to the Kubernetes API (all using the same CLI tools I use day-to-day) to install other components and services.

When the basic stuff works, it’s great. When it doesn’t work, it’s a bit of a nightmare, so I wrote some functions to put logs in a common directory, and another function to gracefully stop the script running when something fails, and then write those log files out to the screen, so I know what went wrong. And then I gave it to a colleague, and he ran it, and things broke in a way that didn’t make sense for either of us, so I wrote some more functions to trap that type of error, and try to recover from them.

And each time, the way I tested where it was working (or not working) was to just… run the shell script, and see what it told me. There had to be a better way.

Enter Python

Python earns my vote for a couple of reasons (and they might not be right for you!)

  • I’ve been aware of the language for some time, and in fact, had patched a few code libraries in the past to use Ansible features I wanted.
  • My preferred IDE (Integrated Desktop Environment), Visual Studio Code, has a step-by-step debugger I can use to work out what’s going on during my programming
  • It’s still portable! In fact, if anything, it’s probably more portable than Bash, because the version of Bash on the Mac operating system – OS X is really old, so lots of “modern” features I’d expect to be in bash and associate tooling isn’t there! Python is Python everywhere.
  • There’s an argument parsing tool built into the core library, so if I want to handle things like ./myscript.py --some-long-feature "option-A" --some-long-feature "option-B" -a -s -h -o -r -t --argument I can do, without having to remember how to write that in Bash (which is a bit esoteric!)
  • And lastly, for now at least!, is that Python allows you to raise errors that can be surfaced up to other parts of your program

Given all this, my personal preference is to write my shell scripts now in Python.

If you’ve not written python before, variables are written without any prefix (like you might have seen $ in PHP) and any flow control (like if, while, for, until) as well as any functions and classes use white-space indentation to show where that block finishes, like this:

def do_something():
  pass

if some_variable == 1:
  do_something()
  and_something_else()
  while some_variable < 2:
    some_variable = some_variable * 2

Starting with Boilerplate

I start from a “standard” script I use. This has a lot of those functions I wrote previously for bash, but with cleaner code, and in a way that’s a bit more understandable. I’ll break down the pieces I use regularly.

Starting the script up

Here’s the first bit of code I always write, this goes at the top of everything

#!/usr/bin/env python3
import logging
logger = logging

This makes sure this code is portable, but is always using Python3 and not Python2. It also starts to logging engine.

At the bottom I create a block which the “main” code will go into, and then run it.

def main():
  logger.basicConfig(level=logging.DEBUG)
  logger.debug('Started main')

if __name__ == "__main__":
    main()

Adding argument parsing

There’s a standard library which takes command line arguments and uses them in your script, it’s called argparse and it looks like this:

#!/usr/bin/env python3
# It's convention to put all the imports at the top of your files
import argparse
import logging
logger = logging

def process_args():
  parser=argparse.ArgumentParser(
    description="A script to say hello world"
  )

  parser.add_argument(
    '--verbose', # The stored variable can be found by getting args.verbose
    '-v',
    action="store_true",
    help="Be more verbose in logging [default: off]"
  )

  parser.add_argument(
    'who', # This is a non-optional, positional argument called args.who
    help="The target of this script"
  )
  args = parser.parse_args()

  if args.verbose:
      logger.basicConfig(level=logging.DEBUG)
      logger.debug('Setting verbose mode on')
  else:
      logger.basicConfig(level=logging.INFO)

  return args

def main():
  args=process_args()

  print(f'Hello {args.who}')
  # Using f'' means you can include variables in the string
  # You could instead do printf('Hello %s', args.who)
  # but I always struggle to remember in what order I wrote things!

if __name__ == "__main__":
    main()

The order you put things in makes a lot of difference. You need to have the if __name__ == "__main__": line after you’ve defined everything else, but then you can put the def main(): wherever you want in that file (as long as it’s before the if __name__). But by having everything in one file, it feels more like those bash scripts I was talking about before. You can have imports (a bit like calling out to other shell scripts) and use those functions and classes in your code, but for the “simple” shell scripts, this makes most sense.

So what else do we do in Shell scripts?

Running commands

This is class in it’s own right. You can pass a class around in a variable, but it has functions and properties of it’s own. It’s a bit chunky, but it handles one of the biggest issues I have with bash scripts – capturing both the “normal” output (stdout) and the “error” output (stderr) without needing to put that into an external file you can read later to work out what you saw, as well as storing the return, exit or error code.

# Add these extra imports
import os
import subprocess

class RunCommand:
    command = ''
    cwd = ''
    running_env = {}
    stdout = []
    stderr = []
    exit_code = 999

    def __init__(
      self,
      command: list = [], 
      cwd: str = None,
      env: dict = None,
      raise_on_error: bool = True
    ):
        self.command = command
        self.cwd = cwd
        
        self.running_env = os.environ.copy()

        if env is not None and len(env) > 0:
            for env_item in env.keys():
                self.running_env[env_item] = env[env_item]

        logger.debug(f'exec: {" ".join(command)}')

        try:
            result = subprocess.run(
                command,
                cwd=cwd,
                capture_output=True,
                text=True,
                check=True,
                env=self.running_env
            )
            # Store the result because it worked just fine!
            self.exit_code = 0
            self.stdout = result.stdout.splitlines()
            self.stderr = result.stderr.splitlines()
        except subprocess.CalledProcessError as e:
            # Or store the result from the exception(!)
            self.exit_code = e.returncode
            self.stdout = e.stdout.splitlines()
            self.stderr = e.stderr.splitlines()

        # If verbose mode is on, output the results and errors from the command execution
        if len(self.stdout) > 0:
            logger.debug(f'stdout: {self.list_to_newline_string(self.stdout)}')
        if len(self.stderr) > 0:
            logger.debug(f'stderr: {self.list_to_newline_string(self.stderr)}')

        # If it failed and we want to raise an exception on failure, record the command and args
        # then Raise Away!
        if raise_on_error and self.exit_code > 0:
            command_string = None
            args = []
            for element in command:
                if not command_string:
                    command_string = element
                else:
                    args.append(element)

            raise Exception(
                f'Error ({self.exit_code}) running command {command_string} with arguments {args}\nstderr: {self.stderr}\nstdout: {self.stdout}')

    def __repr__(self) -> str: # Return a string representation of this class
        return "\n".join(
            [
               f"Command: {self.command}",
               f"Directory: {self.cwd if not None else '{current directory}'}",
               f"Env: {self.running_env}",
               f"Exit Code: {self.exit_code}",
               f"nstdout: {self.stdout}",
               f"stderr: {self.stderr}" 
            ]
        )

    def list_to_newline_string(self, list_of_messages: list):
        return "\n".join(list_of_messages)

So, how do we use this?

Well… you can do this: prog = RunCommand(['ls', '/tmp', '-l']) with which we’ll get back the prog object. If you literally then do print(prog) it will print the result of the __repr__() function:

Command: ['ls', '/tmp', '-l']
Directory: current directory
Env: <... a collection of things from your environment ...>
Exit Code: 0
stdout: total 1
drwx------ 1 root  root  0 Jan 1 01:01 somedir
stderr:

But you can also do things like:

for line in prog.stdout:
  print(line)

or:

try:
  prog = RunCommand(['false'], raise_on_error=True)
catch Exception as e:
  logger.error(e)
  exit(e.exit_code)

Putting it together

So, I wrote all this up into a git repo, that you’re more than welcome to take your own inspiration from! It’s licenced under an exceptional permissive license, so you can take it and use it without credit, but if you want to credit me in some way, feel free to point to this blog post, or the git repo, which would be lovely of you.

Github: JonTheNiceGuy/python_shell_script_template

Featured image is “The Conch” by “Kurtis Garbutt” on Flickr and is released under a CC-BY license.

A colour photograph of a series of cogs and gears interlinked to create a machine

Making .bashrc more manageable

JonTheNiceGuy Leave a comment

How many times have you seen an instruction in a setup script which says “Now add source <(somescript completion bash) to your ~/.bashrc file” or “Add export SOMEVAR=abc123 to your .bashrc file”?

This is great when it’s one or two lines, but for a big chunk of them? Whew!

Instead, I created this block in mine:

if [ -d ~/.bash_extensions.d ]; then
    for extension in ~/.bash_extensions.d/[a-zA-Z0-9]*
    do
        . "$extension"
    done
fi

This dynamically loads all the files in ~/.bash_extensions.d/ which start with a letter or a digit, so it means I can manage when things get loaded in, or removed from my bash shell.

For example, I recently installed the pre-release of Atuin, so my ~/.bash_extensions.d/atuin file looks like this:

source $HOME/.atuin/bin/env
eval "$(atuin init bash --disable-up-arrow)"

And when I installed direnv, I created ~/.bash_extensions.d/direnv which has this in it:

eval "$(direnv hook bash)"

This is dead simple, and now I know that if I stop using direnv, I just need to remove that file, rather than hunting for a line in .bashrc.

Featured image is “Gears gears cogs bits n pieces” by “Les Chatfield” on Flickr and is released under a CC-BY license.

A note to myself; resetting error status on proxmox HA workloads after a crash

JonTheNiceGuy Leave a comment

I’ve had a couple of issues with brown-outs recently which have interrupted my Proxmox server, and stopped my connected disks from coming back up cleanly (yes, I’m working on that separately!) but it’s left me in a state where several of my containers and virtual machines on the cluster are down.

It’s possible to point-and-click your way around this, but far easier to script it!

A failed state may look like this:

root@proxmox1:~# ha-manager status
quorum OK
master proxmox2 (active, Fri Mar 22 10:40:49 2024)
lrm proxmox1 (active, Fri Mar 22 10:40:52 2024)
lrm proxmox2 (active, Fri Mar 22 10:40:54 2024)
service ct:101 (proxmox1, error)
service ct:102 (proxmox2, error)
service ct:103 (proxmox2, error)
service ct:104 (proxmox1, error)
service ct:105 (proxmox1, error)
service ct:106 (proxmox2, error)
service ct:107 (proxmox2, error)
service ct:108 (proxmox1, error)
service ct:109 (proxmox2, error)
service vm:100 (proxmox2, error)

Once you’ve fixed your issue, you can do this on each node:

for worker in $(ha-manager status | grep "($(hostnamectl hostname), error)" | cut -d\  -f2)
do
  echo "Disabling $worker"
  ha-manager set $worker --state disabled
  until ha-manager status | grep "$worker" | grep -q disabled ; do sleep 1 ; done
  echo "Restarting $worker"
  ha-manager set $worker --state started
  until ha-manager status | grep "$worker" | grep -q started ; do sleep 1 ; done
done

Note that this hasn’t been tested, but a scan over it with those nodes working suggests it should. I guess I’ll be updating this the next time I get a brown-out!

A padlock and chain on a rusted gate

Using #NetworkFirewall and #Route53 #DNS #Firewall to protect a private subnet’s egress traffic in #AWS

JonTheNiceGuy 8 Comments

I wrote this post in January 2023, and it’s been languishing in my Drafts folder since then. I’ve had a look through it, and I can’t see any glaring reasons why I didn’t publish it so… it’s published… Enjoy 😁

If you’ve ever built a private subnet in AWS, you know it can be a bit tricky to get updates from the Internet – you end up having a NAT gateway or a self-managed proxy, and you can never be 100% certain that the egress traffic isn’t going somewhere you don’t want it to.

In this case, I wanted to ensure that outbound HTTPS traffic was being blocked if the SNI didn’t explicitly show the DNS name I wanted to permit through, and also, I only wanted specific DNS names to resolve. To do this, I used AWS Network Firewall and Route 53 DNS Firewall.

I’ve written this blog post, and followed along with this, I’ve created a set of terraform files to represent the steps I’ve taken.

The Setup

Let’s start this story from a simple VPC with three private subnets for my compute resources, and three private subnets for the VPC Endpoints for Systems Manager (SSM).

Here’s our network diagram, with the three subnets containing the VPC Endpoints at the top, and the three instances at the bottom.

I’ve created a tag in my Github repo at this “pre-changes” state, called step 1.

At this point, none of those instances can reach anything outside the network, with the exception of the SSM environment. So, we can’t install any packages, we can’t get data from outside the network or anything similar.

Getting Protected Internet Access

In order to get internet access, we need to add 4 things;

  1. An internet gateway
  2. A NAT gateway in each AZ
  3. Which needs three new subnets
  4. And three Elastic IP addresses
  5. Route tables in all the subnets

To clarify, a NAT gateway acts like a DSL router. It hides the source IP address of outbound traffic behind a single, public IP address (using an Elastic IP from AWS), and routes any return traffic back to wherever that traffic came from. To reduce inter-AZ data transfer rates, I’m putting one in each AZ, but if there’s not a lot of outbound traffic or the outbound traffic isn’t critical enough to require resiliency, this could all be centralised to a single NAT gateway. To put a NAT gateway in each AZ, you need a subnet in each AZ, and to get out to the internet (by whatever means you have), you need an internet gateway and route tables for how to reach the NAT and internet gateways.

We also should probably add, at this point, four additional things.

  1. The Network Firewall
  2. Subnets for the Firewall interfaces
  3. Stateless Policy
  4. Stateful Policy

The Network Firewall acts like a single appliance, and uses a Gateway Load Balancer to present an interface into each of the availability zones. It has a stateless policy (which is very fast, but needs to address both inbound and outbound traffic flows) to do IP and Port based filtering (referred to as “Layer 3” filtering) and then specific traffic can be passed into a stateful policy (which is slower) to do packet and flow inspection.

In this case, I only want outbound HTTPS traffic to be passed, so my stateless rule group is quite simple;

  • VPC range on any port → Internet on TCP/443; pass to Stateful rule groups
  • Internet on TCP/443 → VPC range on any port; pass to Stateful rule groups

I have two stateful rule groups, one is defined to just allow access out to example.com and any relevant subdomains, using the “Domain List” stateful policy item. The other allows access to example.org and any relevant subdomains, using a Suricata stateful policy item, to show the more flexible alternative route. (Suricata has lots more filters than just the SNI value, you can check for specific SSH versions, Kerberos CNAMEs, SNMP versions, etc. You can also add per-rule logging this way, which you can’t with the Domain List route).

These are added to the firewall policy, which also defines that if a rule doesn’t match a stateless rule group, or an established flow doesn’t match a stateful rule group, then it should be dropped.

New network diagram with more subnets and objects, but essentially, as described in the paragraphs above. Traffic flows from the instances either down towards the internet, or up towards the VPCe.

I’ve created a tag in my Github repo at this state, with the firewall, NAT Gateway and Internet Gateway, called step 2.

So far, so good… but why let our users even try to resolve the DNS name of a host they’re not permitted to reach. Let’s turn on DNS Firewalling too.

Turning on Route 53 DNS Firewall

You’ll notice that in the AWS Network Firewall, I didn’t let DNS out of the network. This is because, by default, AWS enables Route 53 as it’s local resolver. This lives on the “.2” address of the VPC, so in my example environment, this would be 198.18.0.2. Because it’s a local resolver, it won’t cross the Firewall exiting to the internet. You can also make Route 53 use your own DNS servers for specific DNS resolution (for example, if you’re running an Active Directory service inside your network).

Any Network Security Response team members you have working with you would appreciate it if you’d turn on DNS Logging at this point, so I’ll do it too!

In March 2021, AWS announced “Route 53 DNS Firewall”, which allow this DNS resolver to rewrite responses, or even to completely deny the existence of a DNS record. With this in mind, I’m going to add some custom DNS rules.

The first thing I want to do is to only permit traffic to my specific list of DNS names – example.org, example.com and their subdomains. DNS quite likes to terminate DNS names with a dot, signifying it shouldn’t try to resolve any higher up the chain, so I’m going to make a “permitted domains” DNS list;

example.com.
example.org.
*.example.com.
*.example.org.

Nice and simple! Except, this also stops me from being able to access the instances over SSM, so I’ll create a separate “VPCe” DNS list:

ssm.ex-ample-1.amazonaws.com.
*.ssm.ex-ample-1.amazonaws.com.
ssmmessages.ex-ample-1.amazonaws.com.
*.ssmmessages.ex-ample-1.amazonaws.com.
ec2messages.ex-ample-1.amazonaws.com.
*.ec2messages.ex-ample-1.amazonaws.com.

Next I create a “default deny” DNS list:

*.

And then build a DNS Firewall Policy which allows access to the “permitted domains”, “VPCe” lists, but blocks resolution of any “default deny” entries.

I’ve created a tag in my Github repo at this state, with the Route 53 DNS Firewall configured, called step 3.

In conclusion…

So there we have it. While the network is not “secure” (there’s still a few gaps here) it’s certainly MUCH more secure than it was, and it certainly would take a lot more work for anyone with malicious intent to get your content out.

Feel free to have a poke around, and leave comments below if this has helped or is of interest!

"Fishing fleet" by "Nomad Tales" on Flickr

Using Terraform to select multiple Instance Types for an Autoscaling Group in AWS

JonTheNiceGuy Leave a comment

Tale as old as time, the compute instance type you want to use in AWS is highly contested (or worse yet, not as available in every availability zone in your region)! You plead with your TAM or AM “Please let us have more of that instance type” only to be told “well, we can put in a request, but… haven’t you thought about using a range of instance types”?

And yes, I’ve been on both sides of that conversation, sadly.

The commented terraform

# This is your legacy instance_type variable. Ideally we'd have
# a warning we could raise at this point, telling you not to use
# this variable, but... it's not ready yet.
variable "instance_type" {
  description = "The legacy single-instance size, e.g. t3.nano. Please migrate to instance_types ASAP. If you specify instance_types, this value will be ignored."
  type        = string
  default     = null
}

# This is your new instance_types value. If you don't already have
# some sort of legacy use of the instance_type variable, then don't
# bother with that variable or the locals block below!
variable "instance_types" {
  description = "A list of instance sizes, e.g. [t2.nano, t3.nano] and so on."
  type        = list(string)
  default     = null
}

# Use only this locals block (and the value further down) if you
# have some legacy autoscaling groups which might use individual
# instance_type sizes.
locals {
  # This means if var.instance_types is not defined, then use it,
  # otherwise create a new list with the single instance_type
  # value in it!
  instance_types = var.instance_types != null ? var.instance_types : [ var.instance_type ]
}

resource "aws_launch_template" "this" {
  # The prefix for the launch template name
  # default "my_autoscaling_group"
  name_prefix = var.name

  # The AMI to use. Calculated outside this process.
  image_id = data.aws_ami.this.id

  # This block ensures that any new instances are created
  # before deleting old ones.
  lifecycle {
    create_before_destroy = true
  }

  # This block defines the disk size of the root disk in GB
  block_device_mappings {
    device_name = data.aws_ami.centos.root_device_name
    ebs {
      volume_size = var.disksize # default "10"
      volume_type = var.disktype # default "gp2"
    }
  }

  # Security Groups to assign to the instance. Alternatively
  # create a network_interfaces{} block with your
  # security_groups = [ var.security_group ] in it.
  vpc_security_group_ids = [ var.security_group ]

  # Any on-boot customizations to make.
  user_data = var.userdata
}

resource "aws_autoscaling_group" "this" {
  # The name of the Autoscaling Group in the Web UI
  # default "my_autoscaling_group"
  name = var.name

  # The list of subnets into which the ASG should be deployed.
  vpc_zone_identifier = var.private_subnets
  # The smallest and largest number of instances the ASG should scale between
  min_size            = var.min_rep
  max_size            = var.max_rep

  mixed_instances_policy {
    launch_template {
      # Use this template to launch all the instances
      launch_template_specification {
        launch_template_id = aws_launch_template.this.id
        version            = "$Latest"
      }

      # This loop can either use the calculated value "local.instance_types"
      # or, if you have no legacy use of this module, remove the locals{}
      # and the variable "instance_type" {} block above, and replace the
      # for_each and instance_type values (defined as "local.instance_types")
      # with "var.instance_types".
      #
      # Loop through the whole list of instance types and create a
      # set of "override" values (the values are defined in the content{}
      # block).
      dynamic "override" {
        for_each = local.instance_types
        content {
          instance_type = local.instance_types[override.key]
        }
      }
    }

    instances_distribution {
      # If we "enable spot", then make it 100% spot.
      on_demand_percentage_above_base_capacity = var.enable_spot ? 0 : 100
      spot_allocation_strategy                 = var.spot_allocation_strategy
      spot_max_price                           = "" # Empty string is "on-demand price"
    }
  }
}

So what is all this then?

This is two Terraform resources; an aws_launch_template and an aws_autoscaling_group. These two resources define what should be launched by the autoscaling group, and then the settings for the autoscaling group.

You will need to work out what instance types you want to use (e.g. “must have 16 cores and 32 GB RAM, have an x86_64 architecture and allow up to 15 Gigabit/second throughput”)

When might you use this pattern?

If you have been seeing messages like “There is no Spot capacity available that matches your request.” or “We currently do not have sufficient <size> capacity in the Availability Zone you requested.” then you need to consider diversifying the fleet that you’re requesting for your autoscaling group. To do that, you need to specify more instance types. To achieve this, I’d use the above code to replace (something like) one of the code samples below.

If you previously have had something like this:

resource "aws_launch_configuration" "this" {
  iam_instance_profile        = var.instance_profile_name
  image_id                    = data.aws_ami.this.id
  instance_type               = var.instance_type
  name_prefix                 = var.name
  security_groups             = [ var.security_group ]
  user_data_base64            = var.userdata
  spot_price                  = var.spot_price

  root_block_device {
    volume_size = var.disksize
  }

  lifecycle {
    create_before_destroy = true
  }
}

resource "aws_autoscaling_group" "this" {
  capacity_rebalance   = false
  launch_configuration = aws_launch_configuration.this.id
  max_size             = var.max_rep
  min_size             = var.min_rep
  name                 = var.name
  vpc_zone_identifier  = var.private_subnets
}

Or this:

resource "aws_launch_template" "this" {
  lifecycle {
    create_before_destroy = true
  }

  block_device_mappings {
    device_name = data.aws_ami.this.root_device_name
    ebs {
      volume_size = var.disksize
    }
  }

  iam_instance_profile {
    name = var.instance_profile_name
  }

  network_interfaces {
    associate_public_ip_address = true
    security_groups             = local.node_security_groups
  }

  image_id      = data.aws_ami.this.id
  name_prefix   = var.name
  instance_type = var.instance_type
  user_data     = var.userdata

  instance_market_options {
    market_type = "spot"
    spot_options {
      spot_instance_type = "one-time"
    }
  }

  metadata_options {
    http_tokens                 = var.imds == 1 ? "optional" : "required"
    http_endpoint               = "enabled"
    http_put_response_hop_limit = 1
  }
}

resource "aws_autoscaling_group" "this" {
  name                = var.name
  vpc_zone_identifier = var.private_subnets
  min_size            = var.min_rep
  max_size            = var.max_rep

  launch_template {
    id      = aws_launch_template.this.id
    version = "$Latest"
  }
}

Then this new method is a much better idea :) Even more so if you had two launch templates to support spot and non-spot instance types!

Hat-tip to former colleague Paul Moran who opened my eyes to defining your fleet of variable instance types, as well as to my former customer (deliberately unnamed) and my current employer who both stumbled into the same documentation issue. Without Paul’s advice with my prior customer’s issue I’d never have known what I was looking for this time around!

Featured image is “Fishing fleet” by “Nomad Tales” on Flickr and is released under a CC-BY-SA license.

A text dialogue from a web page showing "Uh oh. Something really just went wrong. Good thing we know about it and have our crack team of squirrels getting their nuts out of the system!"

How to capture stdout and stderr from a command in a shellscript without preventing piped processes from seeing them

JonTheNiceGuy Leave a comment

I love the tee command – it captures stdout [1] and puts it in a file, while then returning that output to stdout for the next process in a pipe to consume, for example:

$ ls -l | tee /tmp/output
total 1
xrwxrwxrw 1 jonspriggs jonspriggs 0 Jul 27 11:16 build.sh
$ cat /tmp/output
total 1
xrwxrwxrw 1 jonspriggs jonspriggs 0 Jul 27 11:16 build.sh

But wait, why is that useful? Well, in a script, you don’t always want to see the content scrolling past, but in the case of a problem, you might need to catch up with the logs afterwards. Alternatively, you might do something like this:

if some_process | tee /tmp/output | grep -q "some text"
then
  echo "Found 'some text' - full output:"
  cat /tmp/output
fi

This works great for stdout but what about stderr [2]? In this case you could just do:

some_process 2>&1 | tee /tmp/output

But that mashes all of stdout and stderr into the same blob.

In my case, I want to capture all the output (stdout and stderr) of a given process into a file. Only stdout is forwarded to the next process, but I still wanted to have the option to see stderr as well during processing. Enter process substitution.

TEMP_DATA_PATH="$(mktemp -d)"
capture_out() {
  base="${TEMP_DATA_PATH}/${1}"
  mkdir "${base}"
  shift
  "$@" 2> >(tee "${base}/stderr" >&2) 1> >(tee "${base}/stdout")
}

With this, I run capture_out step-1 do_a_thing and then in /tmp/tmp.sometext/step-1/stdout and /tmp/tmp.sometext/step-1/stderr are the full outputs I need… but wait, I can also do:

$ capture_out step-1 do_a_thing | \
  capture_out step-2 process --the --thing && \
  capture_out step-3 echo "..." | capture_out step-4 profit
$ find /tmp/tmp.sometext -type f
/tmp/tmp.sometext/step-1/stdout
/tmp/tmp.sometext/step-1/stderr
/tmp/tmp.sometext/step-2/stdout
/tmp/tmp.sometext/step-2/stderr
/tmp/tmp.sometext/step-4/stdout
/tmp/tmp.sometext/step-4/stderr
/tmp/tmp.sometext/step-3/stderr
/tmp/tmp.sometext/step-3/stdout

Or

if capture_out has_an_error something-wrong | capture_out handler check_output
then
  echo "It all went great"
else
  echo "Process failure"
  echo "--Initial process"
  # Use wc -c to check the number of characters in the file
  if [ -e "${TEMP_DATA_PATH}/has_an_error/stdout"] && [ 0 -ne "$(wc -c "${TEMP_DATA_PATH}/has_an_error/stdout")" ]
  then
    echo "----stdout:"
    cat "${TEMP_DATA_PATH}/has_an_error/stdout"
  fi
  if [ -e "${TEMP_DATA_PATH}/has_an_error/stderr"] && [ 0 -ne "$(wc -c "${TEMP_DATA_PATH}/has_an_error/stderr")" ]
  then
    echo "----stderr:"
    cat "${TEMP_DATA_PATH}/has_an_error/stderr"
  fi
  echo "--Second stage"
  if [ -e "${TEMP_DATA_PATH}/handler/stdout"] && [ 0 -ne "$(wc -c "${TEMP_DATA_PATH}/handler/stdout")" ]
  then
    echo "----stdout:"
    cat "${TEMP_DATA_PATH}/handler/stdout"
  fi
  if [ -e "${TEMP_DATA_PATH}/handler/stderr"] && [ 0 -ne "$(wc -c "${TEMP_DATA_PATH}/handler/stderr")" ]
  then
    echo "----stderr:"
    cat "${TEMP_DATA_PATH}/handler/stderr"
  fi
fi

This has become part of my normal toolkit now for logging processes. Thanks bash!

Also, thanks to ChatGPT for helping me find this structure that I’d seen before, but couldn’t remember how to do it! (it almost got it right too! Remember kids, don’t *trust* what ChatGPT gives you, use it as a research starting point, test *that* against your own knowledge, test *that* against your environment and test *that* against expected error cases too! Copy & Paste is not the best idea with AI generated code!)

Footnotes

[1] stdout is the name of the normal output text we see in a shell, it’s also sometimes referred to as “file descriptor 1” or “fd1”. You can also output to &1 with >&1 which means “send to fd1”

[2] stderr is the name of the output in a shell when an error occurs. It isn’t caught by things like some_process > /dev/null which makes it useful when you don’t want to see output, just errors. Like stdout, it’s also referred to as “file descriptor 2” or “fd2” and you can output to &2 with >&2 if you want to send stdout to stderr.

Featured image is “WordPress Error” by “tara hunt” on Flickr and is released under a CC-BY-SA license.

A series of gold blocks, each crossed, and one of the lower blocks has engraved "Eduardo Nery 1995-1998 Aleluia - Secla"

Deploying the latest build of a template (machine) image with #Xen #Orchestrator

JonTheNiceGuy 1 Comment

In my current role we are using Packer to build images on a Xen Orchestrator environment, use a CI/CD system to install that image into both a Xen Template and an AWS AMI, and then we use Terraform to use that image across our estate. The images we build with Packer have this stanza in it:

locals {
  timestamp = regex_replace(timestamp(), "[- TZ:]", "")
}
variable "artifact_name" {
  default = "SomeLinux-version.iso"
}
source "xenserver-iso" "this" {
  vm_name = "${var.artifact_name}-${local.timestamp}"
  # more config below
}

As a result, the built images include a timestamp.

When we use the AMI in Terraform, we can locate it with this code:

variable "ami_name" {
  default = "SomeLinux-version.iso-"
}

data "aws_ami" "this" {
  most_recent = true

  filter {
    name   = "name"
    values = [var.ami_name]
  }

  filter {
    name   = "virtualization-type"
    values = ["hvm"]
  }

  owners = [var.owner]
}

But, because Xen doesn’t track when a template is created, instead I needed to do something different. Enter get_xoa_template.sh.

#!/bin/bash
trap cleanup SIGINT SIGTERM EXIT
exit_message=""
set_exit=0
fail() {
[ -n "$1" ] && echo "$1" >&2
[ "$2" -gt 0 ] && exit $2
}
cleanup() {
trap – SIGINT SIGTERM EXIT
[ "$UNREGISTER" -eq 1 ] && [ "$STATE" == "signed_in" ] && xo-cli –unregister 2>&1
[ -n "$exit_message" ] && fail "$exit_message" $set_exit
}
log_debug() {
[ -n "$DEBUG" ] && echo "$1" >> "$DEBUG"
}
parse_params() {
UNREGISTER=1
DEBUG=""
while :; do
case "${1-}" in
-h | –help)
echo "usage: get_xoa_template.sh –template SomeTemplatePrefix" >&2
echo "" >&2
echo "Options:" >&2
echo " -t | –template MyTemplatePrefix = The template to look for (required)" >&2
echo " -s | –server ws://192.0.2.1 = Sign into Xen Orchestrator on 192.0.2.1" >&2
echo " [Default to using XOA_URL environment variable]" >&2
echo " -u | –user username@example.org = Sign into Xen Orchestrator using this username" >&2
echo " [Default to using XOA_USER environment variable]" >&2
echo " -p | –password hunter2 = Sign into Xen Orchestrator using this password" >&2
echo " [Default to using XOA_PASSWORD environment variable]" >&2
echo " -l | –pool MyXenPool1 = Use this pool when looking for the template." >&2
echo " [Omit to ignore]" >&2
echo " -x | –no-unregister = Don't log out from the XOA server once connected." >&2
echo " -d | –debug = Log output to /tmp/xocli_output" >&2
echo " -d | –debug /path/to/debug = Log output to the specified path" >&2
echo " –debug=/path/to/debug = Log output to the specified path" >&2
exit 255
;;
-s | –server)
XOA_URL="${2-}"
shift
;;
-u | –user)
XOA_USER="${2-}"
shift
;;
-p | –password)
XOA_PASSWORD="${2-}"
shift
;;
-l | –pool)
XOA_POOL="${2-}"
shift
;;
-t | –template)
TEMPLATE="${2-}"
shift
;;
-x | –no-unregister)
UNREGISTER=0
;;
-d | –debug)
DEBUG=/tmp/xocli_output
[ -n "${2-}" ] && [ "$(echo "${2-}" | cut -c1)" != "-" ] && DEBUG="${2-}" && shift
;;
–debug=*)
DEBUG="$(echo $1 | sed -E -e 's/^[^=]+=//')"
;;
*)
break
;;
esac
shift
done
}
sign_in() {
[ -z "$XOA_URL" ] || [ -z "$XOA_USER" ] || [ -z "$XOA_PASSWORD" ] && fail "Missing sign-in details" 1
log_debug "Logging in"
if [ -n "$DEBUG" ]
then
xo-cli –register –au "$XOA_URL" "$XOA_USER" "$XOA_PASSWORD" 2>&1 | tee -a "$DEBUG" | grep -q 'Successfully' || fail "Login failed" 2
else
xo-cli –register –au "$XOA_URL" "$XOA_USER" "$XOA_PASSWORD" 2>&1 | grep -q 'Successfully' || fail "Login failed" 2
fi
STATE="signed_in"
}
get_pool() {
[ -z "$XOA_POOL" ] && log_debug "No Pool" && return 0
log_debug "Getting Pool ID"
if [ -n "$DEBUG" ]
then
POOL_ID="\$pool=$(xo-cli –list-objects type=pool | jq -c -r ".[] | select(.name_label | match(\"${XOA_POOL}\")) | .uuid" | sort | tail -n 1 | tee -a "$DEBUG")"
else
POOL_ID="\$pool=$(xo-cli –list-objects type=pool | jq -c -r ".[] | select(.name_label | match(\"${XOA_POOL}\")) | .uuid" | sort | tail -n 1)"
fi
[ "$POOL_ID" == "\$pool=" ] && fail "Pool provided but no ID received" 3
}
get_template() {
log_debug "Getting template"
if [ -n "$DEBUG" ]
then
TEMPLATE_IS="$(xo-cli –list-objects type=VM-template "${POOL_ID-}" | jq -c ".[] | select(.name_label | match(\"${TEMPLATE}\")) | .name_label" | sort | tail -n 1 | tee -a "$DEBUG")"
else
TEMPLATE_IS="$(xo-cli –list-objects type=VM-template "${POOL_ID-}" | jq -c ".[] | select(.name_label | match(\"${TEMPLATE}\")) | .name_label" | sort | tail -n 1)"
fi
[ -z "$TEMPLATE_IS" ] && fail "Could not match this template" 4
if [ -n "$DEBUG" ]
then
echo "{\"is\": ${TEMPLATE_IS}}" | tee -a "$DEBUG"
else
echo "{\"is\": ${TEMPLATE_IS}}"
fi
}
[ -n "$(command -v xo-cli)" ] || fail "xo-cli is missing, and is a required dependency for this script. Please install it; \`sudo npm -g install xo-cli\`" 5
parse_params "$@"
if [ -n "$DEBUG" ]
then
rm -f "$DEBUG"
log_debug "Invoked: $(date)"
log_debug "Template: $TEMPLATE"
log_debug "Pool: $XOA_POOL"
fi
sign_in
get_pool
get_template
view raw get_xoa_template.sh hosted with ❤ by GitHub

This script is invoked from your terraform like this:

variable "template_name" {
  default     = "SomeLinux-version.iso-"
  description = "A regex, partial or full string to match in the template name"
}

variable "poolname" {
  default = "MyPool"
}

data "external" "get_xoa_template" {
  program = [
    "/bin/bash", "${path.module}/get_xoa_template.sh",
    "--template", var.template_name,
    "--pool", var.poolname
  ]
}

data "xenorchestra_pool" "pool" {
  name_label = var.poolname
}

data "xenorchestra_template" "template" {
  name_label = data.external.get_xoa_template.result.is
  pool_id    = data.xenorchestra_pool.pool.id
}

And that’s how you do it. Oh, and if you need to pin to a specific version? Change the template_name value from the partial or regex version to the full version, like this:

variable "template_name" {
  # This assumes your image was minted at midnight on 1970-01-01
  default     = "SomeLinux-version.iso-19700101000000"
}

Featured image is “Barcelos and Braga-18” by “Graeme Churchard” on Flickr and is released under a CC-BY license.

A photo of a door with the focus on the handle which has a lock in the centre of the knob. The lock has a key in it, with a bunch of keys dangling from the central ring.

Using direnv with terraform, terragrunt, saml2aws, SOPS and AWS KMS

JonTheNiceGuy Leave a comment

In my current project I am often working with Infrastructure as Code (IoC) in the form of Terraform and Terragrunt files. Before I joined the team a decision was made to use SOPS from Mozilla, and this is encrypted with an AWS KMS key. You can only access specific roles using the SAML2AWS credentials, and I won’t be explaining how to set that part up, as that is highly dependant on your SAML provider.

While much of our environment uses AWS, we do have a small presence hosted on-prem, using a hypervisor service. I’ll demonstrate this with Proxmox, as this is something that I also use personally :)

Firstly, make sure you have all of the above tools installed! For one stage, you’ll also require yq to be installed. Ensure you’ve got your shell hook setup for direnv as we’ll need this later too.

Late edit 2023-07-03: There was a bug in v0.22.0 of the terraform which didn’t recognise the environment variables prefixed PROXMOX_VE_ – a workaround by using TF_VAR_PROXMOX_VE and a variable "PROXMOX_VE_" {} block in the Terraform code was put in place for the inital publication of this post. The bug was fixed in 0.23.0 which this post now uses instead, and so as a result the use of TF_VAR_ prefixed variables was removed too.

Set up AWS Vault

AWS KMS

AWS Key Management Service (KMS) is a service which generates and makes available encryption keys, backed by the AWS service. There are *lots* of ways to cut that particular cake, but let’s do this a quick and easy way… terraform

variable "name" {
  default = "SOPS"
  type    = string
}
resource "aws_kms_key" "this" {
  tags                     = {
    Name : var.name,
    Owner : "Admins"
  }
  key_usage                = "ENCRYPT_DECRYPT"
  customer_master_key_spec = "SYMMETRIC_DEFAULT"
  deletion_window_in_days  = 30
  is_enabled               = true
  enable_key_rotation      = false
  policy                   = <<EOF
{
  "Version": "2012-10-17",
  "Id": "key-default-1",
  "Statement": [
    {
      "Sid": "Root Access",
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::${get_aws_account_id()}:root"
      },
      "Action": "kms:*",
      "Resource": "*"
    },
    {
      "Sid": "Estate Admin Access",
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::${get_aws_account_id()}:role/estateadmins"
      },
      "Action": [
        "kms:Describe*",
        "kms:List*",
        "kms:Get*",
        "kms:Encrypt*"
      ],
      "Resource": "*"
    }
  ]
}
EOF
}

resource "aws_kms_alias" "this" {
  target_key_id = aws_kms_key.this.key_id
  name          = "alias/${var.name}"
}

output "key" {
  value = aws_kms_alias.this.arn
}

After running this, let’s assume that we get an output for the “key” value of:

arn:aws:kms:us-east-1:123456789012:alias/main

Setup Sops

In your terragrunt tree, create a file called .sops.yaml, which contains:

---
creation_rules:
  - kms: arn:aws:kms:us-east-1:123456789012:alias/main

And a file called secrets.enc.yaml which contains:

---
PROXMOX_VE_USERNAME: root@pam
PROXMOX_VE_PASSWORD: deadb33f@2023

Test that your KMS works by assuming your IAM role via SAML2AWS like this:

$ saml2aws login --skip-prompt --quiet
$ saml2aws exec -- sops --verbose --encrypt --in-place secrets.enc.yaml
[AWSKMS]	 INFO[0000] Encryption succeeded                          arn="arn:aws:kms:us-east-1:123456789012:alias/main"
[CMD]		 INFO[0000] File written successfully

Setup direnv

Outside your tree, in ~/.config/direnv/lib create a file called use_sops.sh (does not need to be chmod +x or chmod 755!) containing this:

# Based on https://github.com/direnv/direnv/wiki/Sops
use_sops() {
    local path=${1:-$PWD/secrets.enc.yaml}
    if [ -e "$path" ]
    then
        if grep -q -E '^sops:' "$path"
        then
            eval "$(sops --decrypt --output-type dotenv "$path" 2>/dev/null | direnv dotenv bash /dev/stdin || false)"
        else
            if [ -n "$(command -v yq)" ]
            then
                eval "$(yq eval --output-format props "$path" | direnv dotenv bash /dev/stdin)"
                export SOPS_WARNING="unencrypted $path"
            fi
        fi
    fi
    watch_file "$path"
}

There are two key lines here, the first of which is:

eval "$(sops -d --output-type dotenv "$path" 2>/dev/null | direnv dotenv bash /dev/stdin || false)"

This line asks sops to decrypt the secrets file, using the “dotenv” output type, however, the dotenv format looks like this:

some_key = "some value"

So, as a result, we then pass that value to direnv and ask it to rewrite it in the format it expects, which looks like this:

export some_key="some value"

The second key line is this:

eval "$(yq eval --output-format props "$path" | direnv dotenv bash /dev/stdin)"

This asks yq to parse the secrets file, using the “props” formatter, which results in lines just like the dotenv output we saw above.

However, because we used yq to parse the file, it means that we know this file isn’t encrypted, so we also add an extra export value:

export SOPS_WARNING="unencrypted $path"

This can be picked up as part of your shell prompt to put a warning in! Anyway… let’s move on.

Now that you have your reusable library file, we now configure the direnv file, .envrc for the root of your proxmox cluster:

use sops

Oh, ok, that was simple. You can add several files here if you wish, like this:

use sops file1.enc.yaml
use sops file2.enc.yml
use sops ~/.core_sops

But, we don’t need that right now!

Open your shell in that window, and you’ll get this warning:

direnv: error /path/to/demo/.envrc is blocked. Run `direnv allow` to approve its content

So, let’s do that!

$ direnv allow
direnv: loading /path/to/demo/.envrc
direnv: using sops
direnv: export +PROXMOX_VE_USERNAME +PROXMOX_VE_PASSWORD
$

So far, so good… but wait, you’ve authenticated to your SAML access to AWS. Let’s close that shell, and go back in again

$ cd /path/to/demo
direnv: loading /path/to/demo/.envrc
direnv: using sops
$

Ah, now we don’t have our values exported. That’s what we wanted!

What now?!

Configuring the details of the proxmox cluster

We have our .envrc file which provides our credentials (let’s pretend we’re using a shared set of credentials across all the boxes), but now we need to setup access to each of the boxes.

Let’s make our two cluster directories;

mkdir cluster_01
mkdir cluster_02

And in each of these clusters, we need to put an .envrc file with the right IP address in. This needs to check up the tree for any credentials we may have already loaded:

source_env "$(find_up ../.envrc)"
export PROXMOX_VE_ENDPOINT="https://192.0.2.1:8006" # Documentation IP address for the first cluster - change for the second cluster.

The first line works up the tree, looking for a parent .envrc file to inject, and then, with the second line, adds the Proxmox API endpoint to the end of that chain. When we run direnv allow (having logged back into our saml2aws session), we get this:

$ direnv allow
direnv: loading /path/to/demo/cluster_01/.envrc
direnv: loading /path/to/demo/.envrc
direnv: using sops
direnv: export +PROXMOX_VE_ENDPOINT +PROXMOX_VE_USERNAME +PROXMOX_VE_PASSWORD
$

Great, now we can setup the connection to the cluster in the terragrunt file!

Set up Terragrunt

In /path/to/demo/terragrunt.hcl put this:

remote_state {
  backend = "s3"
  config  = {
    encrypt                = true
    bucket                 = "example-inc-terraform-state"
    key                    = "${path_relative_to_include()}/terraform.tfstate"
    region                 = "us-east-1"
    dynamodb_table         = "example-inc-terraform-state-lock"
    skip_bucket_versioning = false
  }
}
generate "providers" {
  path      = "providers.tf"
  if_exists = "overwrite"
  contents  = <<EOF
terraform {
  required_providers {
    proxmox = {
      source = "bpg/proxmox"
      version = "0.23.0"
    }
  }
}

provider "proxmox" {
  insecure = true
}
EOF
}

Then in the cluster_01 directory, create a directory for the code you want to run (e.g. create a VLAN might be called “VLANs/30/“) and put in it this terragrunt.hcl

terraform {
  source = "${get_terragrunt_dir()}/../../../terraform-module-network//vlan"
  # source = "git@github.com:YourProject/terraform-module-network//vlan?ref=production"
}

include {
  path = find_in_parent_folders()
}

inputs = {
  vlan_tag    = 30
  description = "VLAN30"
}

This assumes you have a terraform directory called terraform-module-network/vlan in a particular place in your tree or even better, a module in your git repo, which uses the input values you’ve provided.

That double slash in the source line isn’t a typo either – this is the point in that tree that Terragrunt will copy into the directory to run terraform from too.

A quick note about includes and provider blocks

The other key thing is that the “include” block loads the values from the first matching terragrunt.hcl file in the parent directories, which in this case is the one which defined the providers block. You can’t include multiple different parent files, and you can’t have multiple generate blocks either.

Running it all together!

Now we have all our depending files, let’s run it!

user@host:~$ cd test
direnv: loading ~/test/.envrc
direnv: using sops
user@host:~/test$ saml2aws login --skip-prompt --quiet ; saml2aws exec -- bash
direnv: loading ~/test/.envrc
direnv: using sops
direnv: export +PROXMOX_VE_USERNAME +PROXMOX_VE_PASSWORD
user@host:~/test$ cd cluster_01/VLANs/30
direnv: loading ~/test/cluster_01/.envrc
direnv: loading ~/test/.envrc
direnv: using sops
direnv: export +PROXMOX_VE_ENDPOINT +PROXMOX_VE_USERNAME +PROXMOX_VE_PASSWORD
user@host:~/test/cluster_01/VLANs/30$ terragrunt apply
data.proxmox_virtual_environment_nodes.available_nodes: Reading...
data.proxmox_virtual_environment_nodes.available_nodes: Read complete after 0s [id=nodes]

Terraform used the selected providers to generate the following execution
plan. Resource actions are indicated with the following symbols:
  + create

Terraform will perform the following actions:

  # proxmox_virtual_environment_network_linux_bridge.this[0] will be created
  + resource "proxmox_virtual_environment_network_linux_bridge" "this" {
      + autostart  = true
      + comment    = "VLAN30"
      + id         = (known after apply)
      + mtu        = (known after apply)
      + name       = "vmbr30"
      + node_name  = "proxmox01"
      + ports      = [
          + "enp3s0.30",
        ]
      + vlan_aware = (known after apply)
    }

Plan: 1 to add, 0 to change, 0 to destroy.

Do you want to perform these actions?
  Terraform will perform the actions described above.
  Only 'yes' will be accepted to approve.

  Enter a value: yes
proxmox_virtual_environment_network_linux_bridge.this[0]: Creating...
proxmox_virtual_environment_network_linux_bridge.this[0]: Creation complete after 2s [id=proxmox01:vmbr30]
user@host:~/test/cluster_01/VLANs/30$

Winning!!

Featured image is “2018/365/1 Home is Where The Key Fits” by “Alan Levine” on Flickr and is released under a CC-0 license.

Quick tip: How to stop package installations from auto-starting server services with Debian based distributions (like Ubuntu)

JonTheNiceGuy Leave a comment

I’m working on another toy project to understand a piece of software a little better, and to make it work, I needed to install dnsmasq inside an Ubuntu-based virtual machine. The problem with this is that Ubuntu already runs systemd-resolved to perform DNS lookups, and Debian likes to start server services as soon as it’s installed them. So how do we work around this? Well, actually, it’s pretty simple.

Thanks to this blog post from 2013, I found out that if you create an executable script called /usr/sbin/policy-rc.d with the content:

exit 101

This will stop all services in the dpkg/apt process from running on install, so I was able to do this:

echo 'exit 101' >> /usr/sbin/policy-rc.d
chmod +x /usr/sbin/policy-rc.d
apt update
apt install dnsmasq -y
systemctl disable --now systemd-resolved
# Futz with dnsmasq config
systemctl enable --now dnsmasq
dig example.com

Brilliant