Cfgtool configuration management
Project description
A configuration management tool that provides for self-documenting hosts and coherently versioned configurations.
What does cfgtool do?
cfgtool allows applications to separate their configuration files from the host specific values that go into those files. These values, called beliefs, can be deployed either by hand or by common infrastructure orchistration tools SaltStack or Ansible.
Disclaimer
While cfgtool shouldn’t have any issue running on most Linux distributions, it has only been tested on Debian based Linux systems.
How do I get it?
cfgtool can be installed via pip. It should be included as a dependency for each application you install that is expected to have its configuration managed by it.
pip install cfgtool
How does it work?
Upon installation (assuming with root permissions), cfgtool creates the following configuration file and directories.
/etc/cfgtool/cfgtool.conf /etc/cfgtool/module.d/ /etc/cfgtool/belief.d/
module.d contains a file for each installed application using cfgtool. This file contains a list of configuration files we expect cfgtool to generate for that application. Each of these configuration files is expected to have a corresponding .templ file at the same directory as it is going to be installed.
Example:
/etc/my_application/application.conf /etc/my_application/application.conf.templ
The .templ file is the template configuration file it will seed with beliefs to generate the actual configuration file.
belief.d contains JSON files, which hold our beliefs used in generating application configurations.
We can change the locations of our module.d and belief.d directory in our cfgtool.conf file if we wish.
belief_dir = "/my/new/belief/dir/..." module_dir = "/my/new/module/dir/..."
An example
Let’s say we have a Python application called reporter. reporter is a program that generates a report every hour about the statistics for the machine it runs on and sends them to a reporting server. Reporter has two configuration files:
/etc/reporter/reporter.conf defines what we want the report of our machine to include.
temperature=<boolean> system_load=<boolean> disk_space=<boolean> ...
/etc/reporter/report_send_init.sh defines where we want the report to go.
export REPORTER_USER=<string>
export REPORTER_PASS=<string>
export FTP_SERVER=<string>
export REPORT_PREFIX=<string>
This is used in a /etc/cron.hourly/reporter cron script that runs every hour to generate a report and upload it to an FTP server.
#! /bin/bash
. /etc/reporter/report_send_init.sh
filename="${REPORT_PREFIX}_$(date +%Y-%m-%d-%H-%M)"
reporter -c /etc/reporter/reporter.conf > /tmp/${filename}.txt
ftp -n <<EOF
open ${FTP_SERVER}
user ${REPORTER_USER} ${REPORTER_PASS}
put /tmp/${filename}.txt
EOF
rm -f /tmp/${filename}.txt
Now let’s say we are given the following scenario; we have to deploy our reporter tool over two server clusters at a company creatively named company.
After careful analysis, company has determined that the temperature of each machine in their letters cluster needs to be carefully monitored. They have another cluster called numbers that has a state of the art cooling system with its own reporting, but has frequent disk space and system load issues that need to be monitored.
The machines of each cluster periodically send their reports to their master.
How are we going to configure all of these machines?
Fortunately for us, company was diligent enough to implement some orchistration software last month to deploy config files on each of their machines. Their head of operations would like to have as few configuration files as possible deployed across all installed applications. Let’s try and minimize the number of managed configurations using cfgtool!
Modifying the configurations of reporter
Seeing as reporter is an in-house tool, we can modify it to use cfgtool as a dependency.
The head of operations has agreed to start using cfgtool to simplify configuration across all servers. A unique ‘environment’ beliefs file will be created and deployed for each of the machines in each cluster under /etc/cfgtool/belief.d/env.json. This will contain beliefs that may be useful to many applications using cfgtool.
Here is what that file would look like for server A in our diagram:
{
"master": {
"domain": "letters.company.com",
"username": "machine_a",
"password": "very_secret_password"
},
"host": {
"name": "letters-a",
"address": "lettersa.company.com"
}
}
Our head of operations has also deployed reporter specific configurations to each cluster onto each machine under the file name /etc/reporter/belief.d/reporter.json. Here is what that would look like for machines in the numbers.company.com cluster.
{
"reporter": {
"temperature": false,
"system_load": true,
"disk": true
}
}
Let’s create templ files for each of our configuration files. In each of our templ files, we can reference these beliefs under belief.d/ using ${...} syntax. cfgtool merges all of our belief files together (traversing them alphabetically) into one big dictionary.
Warning: If a belief is specified twice, the later one (the one in a file whose name is alphabetically greater) will be what cfgtool uses.
Let’s change our configuration files into templ files.
/etc/reporter/reporter.conf.templ
temperature=${reporter.temperature}
system_load=${reporter.system_load}
disk_space=${reporter.disk}
...
/etc/reporter/report_send_init.sh.templ
export REPORTER_USER=${master.username}
export REPORTER_PASS=${master.password}
export FTP_SERVER=${master.domain}
export REPORT_PREFIX=${host.name}
Now let’s assume our directory structure for reporter looks like this:
├── LICENSE ├── README.md ├── setup.py ├── requirements.txt ├── reporter │ ├── __init__.py │ ├── reporter.py │ ├── ... ├── config │ ├── reporter │ ├── reporter.conf.templ │ ├── report_send_init.sh.templ │ ├── reporter.sh ├── install.sh
Our new install.sh script will look like this:
#! /bin/sh
install -D -g root -o root -m 0644 -p config/reporter /etc/cfgtool/module.d/reporter
install -D -g root -o root -m 0644 -p config/reporter.conf.templ /etc/reporter/reporter.conf.templ
install -D -g root -o root -m 0644 -p config/report_send_init.sh.templ /etc/reporter/report_send_init.sh.templ
install -D -g root -o root -m 0644 -p config/reporter.sh /etc/cron.hourly/reporter
The reporter file contains the names of the configuration files that reporter should generate:
/etc/reporter/reporter.conf
/etc/reporter/report_send_init.sh
Creating the real config files
At this point we have fully integrated cfgtool into reporter, deployed our beliefs and have our software installed, but not yet usable because our config files do not exist yet. We still have to tell cfgtool to generate our configurations.
To generate the configurations, we run the following in the terminal:
$ cfgtool write <module> [--force]
We replace <module> with the application we would like to create configuration files for. --force means we would actually like to write (to keep it differentiated from non-destructive commands).
Let’s create the configuration files for reporter. This command needs to be run on each machine reporter is installed on and should be part of your deployment process.
$ cfgtool write reporter --force
Module: reporter
Generate...
File: /etc/reporter/reporter.conf
File: /reporter/report_send_init.sh
Let’s look at what was produced on machine A:
/etc/reporter/reporter.conf
temperature=true
system_load=false
disk_space=false
...
/etc/reporter/report_send_init.sh
export REPORTER_USER="machine_a"
export REPORTER_PASS="very_secret_password"
export FTP_SERVER="letters.company.com"
export REPORT_PREFIX="letters-a"
Wow, each machine is configured and ready to report just like that!
What if our configuration changes?
Now it is a safe assumption that our setup will not necessarily stay the same forever. Let’s say two years after starting to use cfgtool, a new cooling system is introduced into our letters cluster and more machines are added. We no longer have temperature issues we need to monitor, but system load is now something we need to watch for some reason.
A new reporter beliefs file has been deployed onto this cluster.
/etc/reporter/belief.d/reporter.json
{
"reporter": {
"temperature": false,
"system_load": true,
"disk": false
}
}
To update our configurations, we simply run our cfgtool write command on the cluster, as we did with the initial installation.
$ cfgtool write reporter --force
And once again, our configurations are up to date!
Wait, what if I made a mistake and want my old configuration back?
cfgtool is careful in that it always leaves a time stamped copy of whatever it overwrites behind. Here’s what our directory on machine A looks like after running cfgtool write again.
├── etc │ ├── reporter │ │ ├── reporter.conf.templ │ │ ├── report_send_init.sh.templ │ │ ├── reporter.conf │ │ ├── reporter.conf-backup.2016-01-20_0019.23 │ │ ├── report_send_init.sh │ │ ├── report_send_init.sh-backup.2016-01-20_0019.23 │ │ ├── ...
Eventually this may really start to pile up after many consecutive redeployments:
reporter.conf reporter.conf-backup.2016-01-10_0019.23 reporter.conf-backup.2016-01-11_0112.01 reporter.conf-backup.2016-01-12_1202.26 reporter.conf-backup.2016-01-13_0311.04 reporter.conf-backup.2016-01-14_1049.45 reporter.conf-backup.2016-01-15_0059.15 reporter.conf-backup.2016-01-16_5001.02 reporter.conf-backup.2016-01-17_0019.21 ...
We can have cfgtool toss all of our backups with the clean command.
$ cfgtool clean reporter
And now all the backups are gone.
reporter.conf ...
Hmm, I can’t recall if I (re)generated my configurations already
We can check if our existing configurations files match our beliefs (or even exist) by running the check command.
$ cfgtool check reporter
Module: reporter
Generate...
File: /etc/reporter/reporter.conf-check
File: /reporter/report_send_init.sh-check
Check...
File: /etc/reporter/reporter.conf-check
File: /reporter/report_send_init.sh-check
If anything is inconsistent, the checks will not pass. Leave out the module name to do a check for all installed applications.
What if I want to generate configurations to see what they look like but not immediately use them?
Run cfgtool with the sample command to generate config files with a .sample extension.
$ cfgtool sample reporter
Module: reporter
Generate...
File: /etc/reporter/reporter.conf.sample
File: /reporter/report_send_init.sh.sample
If everything looks good, just run cfgtool with write.
Wait a minute, going back to this thing about all the beliefs being combined by cfgtool, doesn’t that expose secrets?
Now say for example we install another application called uploader which takes files that our vast client base uploads and puts them in Amazon S3. Among its beliefs is an AWS key:
/etc/cfgtool/belief.d/uploader.json
{
"uploader": {
"aws_secret_key": "..."
}
}
We don’t want tools like reporter getting access to that information by simply putting ${uploader.aws_secret_key} somewhere in their configuration templ files. What do we do?
Fortunately, cfgtool is smart enough to realize who should know what. As long as there is a top level belief called uploader, cfgtool will realize it should only be seen by the uploader application and hide it.
We can confirm this by checking the beliefs that are exposed to reporter after installing uploader with the belief cfgtool command in machine A.
$ cfgtool belief db_reports
Module: db_reports
{
"master": {
"domain": "letters.company.com",
"username": "machine_a",
"password": "very_secret_password"
},
"host": {
"name": "letters-a",
"address": "lettersa.company.com"
},
"reporter": {
"temperature": false,
"system_load": true,
"disk": true
}
}
The beliefs of uploader have not been exposed. You can be assured your cfgtool utilizing apps only know what they are supposed to know!
What’s next?
This page summarizes the major functionality of cfgtool. To learn more about other features of cfgtool, check out the help section via your terminal.
$ cfgtool -help
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