GCP Thrifty Mod for Flowpipe
Pipelines to detect and correct misconfigurations leading to GCP savings opportunities.
Documentation
Getting Started
Requirements
Docker daemon must be installed and running. Please see Install Docker Engine for more information.
Installation
Download and install Flowpipe (https://flowpipe.io/downloads) and Steampipe (https://steampipe.io/downloads). Or use Brew:
brew install turbot/tap/flowpipebrew install turbot/tap/steampipe
Install the GCP plugin with Steampipe:
steampipe plugin install gcp
Steampipe will automatically use your default GCP credentials. Optionally, you can setup multiple accounts or customize GCP credentials.
Create a connection_import
resource to import your Steampipe GCP connections:
vi ~/.flowpipe/config/gcp.fpc
connection_import "gcp" { source = "~/.steampipe/config/gcp.spc" connections = ["*"]}
For more information on importing connections, please see Connection Import.
For more information on connections in Flowpipe, please see Managing Connections.
Clone the mod:
mkdir gcp-thriftycd gcp-thriftygit clone git@github.com:turbot/flowpipe-mod-gcp-thrifty.git
Install the dependencies:
flowpipe mod install
Configure Variables
Several pipelines have input variables that can be configured to better match your environment and requirements.
Each variable has a default defined in its source file, e.g, logging/logging_buckets_with_higher_retention_period.fp
(or variables.fp
for more generic variables), but these can be overwritten in several ways:
The easiest approach is to setup your vars file, starting with the sample:
cp flowpipe.fpvars.example flowpipe.fpvarsvi flowpipe.fpvars
flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size --var-file=flowpipe.fpvars
Alternatively, you can pass variables on the command line:
flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size --var=compute_disks_exceeding_max_size=100
Or through environment variables:
export FP_VAR_compute_disks_exceeding_max_size=100flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size
For more information, please see Passing Input Variables
Running Detect and Correct Pipelines
To run your first detection, you'll need to ensure your Steampipe server is up and running:
steampipe service start
To find your desired detection, you can filter the pipeline list
output:
flowpipe pipeline list | grep "detect_and_correct"
Then run your chosen pipeline:
flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size
This will then run the pipeline and depending on your configured running mode; perform the relevant action(s), there are 3 running modes:
- Wizard
- Notify
- Automatic
Wizard
This is the default
running mode, allowing for a hands-on approach to approving changes to resources by prompting for input for each detected resource.
Whilst the out of the box default is to run the workflow directly in the terminal. You can use Flowpipe server and external integrations to prompt in http
, slack
, teams
, etc.
Notify
This mode as the name implies is used purely to report detections via notifications either directly to your terminal when running in client mode or via another configured notifier when running in server mode for each detected resource.
To run in notify
mode, you will need to set the approvers
variable to an empty list []
and ensure the resource-specific default_action
variable is set to notify
, either in your fpvars file
# example.fpvarsapprovers = []compute_disks_exceeding_max_size_default_action = "notify"
or pass the approvers
and default_action
arguments on the command-line.
flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size --arg='default_action=notify' --arg='approvers=[]'
Automatic
This behavior allows for a hands-off approach to remediating resources.
To run in automatic
mode, you will need to set the approvers
variable to an empty list []
and the the resource-specific default_action
variable to one of the available options.
# example.fpvarsapprovers = []compute_disks_exceeding_max_size_default_action = "snapshot_and_delete_disk"
or pass the approvers
and default_action
argument on the command-line.
flowpipe pipeline run detect_and_correct_compute_disks_exceeding_max_size --arg='approvers=[] --arg='default_action=snapshot_and_delete_disk'
To further enhance this approach, you can enable the pipelines corresponding query trigger to run completely hands-off.
Running Query Triggers
Note: Query triggers require Flowpipe running in server mode.
Each detect_and_correct
pipeline comes with a corresponding Query Trigger, these are disabled by default allowing for you to enable and schedule them as desired.
Let's begin by looking at how to set-up a Query Trigger to automatically resolve our Compute disks that have exceeded the maximum allowed size.
Firsty, we need to update our example.fpvars
file to add or update the following variables - if we want to run our remediation hourly
and automatically apply
the corrections:
# example.fpvarscompute_disks_exceeding_max_size_trigger_enabled = truecompute_disks_exceeding_max_size_trigger_schedule = "1h"compute_disks_exceeding_max_size_default_action = "snapshot_and_delete_disk"
Now we'll need to start up our Flowpipe server:
flowpipe server --var-file=example.fpvars
This will activate every hour and detect Compute Snapshots exceeding maximum age and apply the corrections without further interaction!
Open Source & Contributing
This repository is published under the Apache 2.0 license. Please see our code of conduct. We look forward to collaborating with you!
Flowpipe and Steampipe are products produced from this open source software, exclusively by Turbot HQ, Inc. They are distributed under our commercial terms. Others are allowed to make their own distribution of the software, but cannot use any of the Turbot trademarks, cloud services, etc. You can learn more in our Open Source FAQ.
Get Involved
Want to help but don't know where to start? Pick up one of the help wanted
issues: