https://github.com/turbot/flowpipe-mod-azure-thrifty
Run pipelines to detect and correct Azure resources that are unused and underutilized to optimize costs.
https://github.com/turbot/flowpipe-mod-azure-thrifty
azure cost cost-optimization flowpipe flowpipe-mod hacktoberfest hcl low-code
Last synced: 5 months ago
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Run pipelines to detect and correct Azure resources that are unused and underutilized to optimize costs.
- Host: GitHub
- URL: https://github.com/turbot/flowpipe-mod-azure-thrifty
- Owner: turbot
- License: apache-2.0
- Created: 2024-05-14T09:43:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-28T07:31:37.000Z (6 months ago)
- Last Synced: 2024-11-28T08:26:45.189Z (6 months ago)
- Topics: azure, cost, cost-optimization, flowpipe, flowpipe-mod, hacktoberfest, hcl, low-code
- Language: HCL
- Homepage: https://hub.flowpipe.io/mods/turbot/azure_thrifty
- Size: 211 KB
- Stars: 2
- Watchers: 8
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# Azure Thrifty Mod for Flowpipe
Pipelines to detect and correct misconfigurations leading to Azure savings opportunities.
## Documentation
- **[Pipelines →](https://hub.flowpipe.io/mods/turbot/azure_thrifty/pipelines)**
## Getting Started
### Requirements
Docker daemon must be installed and running. Please see [Install Docker Engine](https://docs.docker.com/engine/install/) for more information.
### Installation
Download and install Flowpipe (https://flowpipe.io/downloads) and Steampipe (https://steampipe.io/downloads). Or use Brew:
```sh
brew install turbot/tap/flowpipe
brew install turbot/tap/steampipe
```
Install the Azure plugin with [Steampipe](https://steampipe.io):
```sh
steampipe plugin install azure
```
Steampipe will automatically use your default Azure credentials. Optionally, you can [setup multiple subscriptions](https://hub.steampipe.io/plugins/turbot/azure#multi-subscription-connections) or [customize Azure credentials](https://hub.steampipe.io/plugins/turbot/azure#configuring-azure-credentials).
Create a `connection_import` resource to import your Steampipe azure connections:
```sh
vi ~/.flowpipe/config/azure.fpc
```
```hcl
connection_import "azure" {
source = "~/.steampipe/config/azure.spc"
connections = ["*"]
}
```
For more information on importing connections, please see [Connection Import](https://flowpipe.io/docs/reference/config-files/connection_import).
For more information on connections in Flowpipe, please see [Managing Connections](https://flowpipe.io/docs/run/connections).
Install the mod:
```sh
mkdir azure-thrifty
cd azure-thrifty
flowpipe mod install github.com/turbot/flowpipe-mod-azure-thrifty
```
### Configure Variables
Several pipelines have [input variables](https://flowpipe.io/docs/build/mod-variables#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, `monitor/monitor_log_profile_without_retention_policy.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:
```sh
cp flowpipe.fpvars.example flowpipe.fpvars
vi flowpipe.fpvars
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age --var-file=flowpipe.fpvars
```
Alternatively, you can pass variables on the command line:
```sh
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age --var=compute_snapshots_exceeding_max_age_days=10
```
Or through environment variables:
```sh
export FP_VAR_compute_snapshots_exceeding_max_age_days=10
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age
```
For more information, please see [Passing Input Variables](https://flowpipe.io/docs/build/mod-variables#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:
```sh
steampipe service start
```
To find your desired detection, you can filter the `pipeline list` output:
```sh
flowpipe pipeline list | grep "detect_and_correct"
```
Then run your chosen pipeline:
```sh
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age
```
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](https://flowpipe.io/docs/build/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](https://flowpipe.io/docs/run/server) and [external integrations](https://flowpipe.io/docs/build/input#create-an-integration) 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](https://flowpipe.io/docs/reference/config-files/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
```hcl
# example.fpvars
approvers = []
compute_snapshots_exceeding_max_age_default_action = "notify"
```
or pass the `approvers` and `default_action` arguments on the command-line.
```sh
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age --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.
```hcl
# example.fpvars
approvers = []
compute_snapshots_exceeding_max_age_default_action = "delete_snapshot"
```
or pass the `approvers` and `default_action` argument on the command-line.
```sh
flowpipe pipeline run azure_thrifty.pipeline.detect_and_correct_compute_snapshots_exceeding_max_age --arg='approvers=[] --arg='default_action=delete_snapshot'
```
To further enhance this approach, you can enable the pipelines corresponding [query trigger](#running-query-triggers) to run completely hands-off.
### Running Query Triggers
> Note: Query triggers require Flowpipe running in [server](https://flowpipe.io/docs/run/server) mode.
Each `detect_and_correct` pipeline comes with a corresponding [Query Trigger](https://flowpipe.io/docs/flowpipe-hcl/trigger/query), 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 snapshots that have exceeded their useful lifespan.
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:
```hcl
# example.fpvars
compute_snapshots_exceeding_max_age_trigger_enabled = true
compute_snapshots_exceeding_max_age_trigger_schedule = "1h"
compute_snapshots_exceeding_max_age_default_action = "delete_snapshot"
```
Now we'll need to start up our Flowpipe server:
```sh
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](https://www.apache.org/licenses/LICENSE-2.0). Please see our [code of conduct](https://github.com/turbot/.github/blob/main/CODE_OF_CONDUCT.md). We look forward to collaborating with you!
[Flowpipe](https://flowpipe.io) and [Steampipe](https://steampipe.io) are products produced from this open source software, exclusively by [Turbot HQ, Inc](https://turbot.com). 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](https://turbot.com/open-source).
## Get Involved
**[Join #flowpipe on Slack →](https://turbot.com/community/join)**
Want to help but don't know where to start? Pick up one of the `help wanted` issues:
- [Flowpipe](https://github.com/turbot/flowpipe/labels/help%20wanted)
- [Azure Thrifty Mod](https://github.com/turbot/flowpipe-mod-azure-thrifty/labels/help%20wanted)