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# Cross-Account Deployments | ||
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Features have been added to the RDK to facilitate the cross-account | ||
deployment pattern that enterprise customers have standardized for | ||
custom Config Rules. A cross-account architecture is one in which the | ||
Lambda functions are deployed to a single central "Compliance" account | ||
(which may be the same as a central "Security" account), and the | ||
Config Rules are deployed to any number of "Satellite" accounts that | ||
are used by other teams or departments. This gives the compliance team | ||
confidence that their rule logic cannot be tampered with and makes it | ||
much easier for them to modify rule logic without having to go through a | ||
complex deployment process to potentially hundreds of AWS accounts. The | ||
cross-account pattern uses two advanced RDK features: | ||
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- `--functions-only` (`-f`) deployment | ||
- `create-rule-template` command | ||
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## Functions-Only Deployment | ||
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By using the `-f` or `--functions-only` flag on the `deploy` command the | ||
RDK will deploy only the necessary Lambda Functions, Lambda Execution | ||
Role, and Lambda Permissions to the account specified by the execution | ||
credentials. It accomplishes this by batching up all of the Lambda | ||
function CloudFormation snippets for the selected Rule(s) into a single | ||
dynamically generated template and deploy that CloudFormation template. | ||
One consequence of this is that subsequent deployments that specify a | ||
different set of rules for the same stack name will update that | ||
CloudFormation stack, and any Rules that were included in the first | ||
deployment but not in the second will be removed. You can use the | ||
`--stack-name` parameter to override the default CloudFormation stack | ||
name if you need to manage different subsets of your Lambda Functions | ||
independently. The intended usage is to deploy the functions for all of | ||
the Config rules in the Security/Compliance account, which can be done | ||
simply by using `rdk deploy -f --all` from your working directory. | ||
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## create-rule-template command | ||
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This command generates a CloudFormation template that defines the AWS | ||
Config rules themselves, along with the Config Role, Config data bucket, | ||
Configuration Recorder, and Delivery channel necessary for the Config | ||
rules to work in a satellite account. You must specify the file name for | ||
the generated template using the `--output-file` or | ||
`-o` command line flags. The generated template takes a | ||
single parameter of the AccountID of the central compliance account that | ||
contains the Lambda functions that will back your custom Config Rules. | ||
The generated template can be deployed in the desired satellite accounts | ||
through any of the means that you can deploy any other CloudFormation | ||
template, including the console, the CLI, as a CodePipeline task, or | ||
using StackSets. The `create-rule-template` command takes all of the | ||
standard arguments for selecting Rules to include in the generated | ||
template, including lists of individual Rule names, an `--all` flag, or | ||
using the RuleSets feature described below. | ||
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```bash | ||
rdk create-rule-template -o remote-rule-template.json --all | ||
Generating CloudFormation template! | ||
CloudFormation template written to remote-rule-template.json | ||
``` |
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# Custom Lambda Function Name | ||
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As of version 0.7.14, instead of defaulting the lambda function names to | ||
`RDK-Rule-Function-<RULE_NAME>` it is possible to customize the name for | ||
the Lambda function to any 64 characters string as per Lambda's naming | ||
standards using the optional `--custom-lambda-name` flag while | ||
performing `rdk create`. This opens up new features like : | ||
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1. Longer config rule name. | ||
2. Custom lambda function naming as per personal or enterprise standards. | ||
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```bash | ||
rdk create MyLongerRuleName --runtime python3.11 --resource-types AWS::EC2::Instance --custom-lambda-name custom-prefix-for-MyLongerRuleName | ||
Running create! | ||
Local Rule files created. | ||
``` | ||
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The above example would create files with config rule name as | ||
`MyLongerRuleName` and lambda function with the name | ||
`custom-prefix-for-MyLongerRuleName` instead of | ||
`RDK-Rule-Function-MyLongerRuleName` |
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# Disable the supported resource types check | ||
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It is now possible to define a resource type that is not yet supported | ||
by rdk. To disable the supported resource check use the optional flag | ||
'--skip-supported-resource-check' during the create command. | ||
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```bash | ||
rdk create MyRule --runtime python3.11 --resource-types AWS::New::ResourceType --skip-supported-resource-check | ||
'AWS::New::ResourceType' not found in list of accepted resource types. | ||
Skip-Supported-Resource-Check Flag set (--skip-supported-resource-check), ignoring missing resource type error. | ||
Running create! | ||
Local Rule files created. | ||
``` |
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# Using RDK to Generate a Lambda Layer in a region (Python3) | ||
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By default `rdk init --generate-lambda-layer` will generate an rdklib | ||
lambda layer while running init in whatever region it is run, to force | ||
re-generation of the layer, run `rdk init --generate-lambda-layer` again | ||
over a region | ||
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To use this generated lambda layer, add the flag | ||
`--generated-lambda-layer` when running `rdk deploy`. For example: | ||
`rdk -f regions.yaml deploy LP3_TestRule_P39_lib --generated-lambda-layer` | ||
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If you created layer with a custom name (by running | ||
`rdk init --custom-lambda-layer`, add a similar `custom-lambda-layer` | ||
flag when running deploy. |
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# Managed Rules | ||
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The RDK is able to deploy AWS Managed Rules. | ||
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To do so, create a rule using `rdk create` and provide a valid | ||
SourceIdentifier via the `--source-identifier` CLI option. The list of | ||
Managed Rules can be found | ||
[here](https://docs.aws.amazon.com/config/latest/developerguide/managed-rules-by-aws-config.html) | ||
, and note that the Identifier can be obtained by replacing the dashes | ||
with underscores and using all capitals (for example, the | ||
"guardduty-enabled-centralized" rule has the SourceIdentifier | ||
"GUARDDUTY_ENABLED_CENTRALIZED"). Just like custom Rules you will need | ||
to specify source events and/or a maximum evaluation frequency, and also | ||
pass in any Rule parameters. The resulting Rule directory will contain | ||
only the parameters.json file, but using `rdk deploy` or | ||
`rdk create-rule-template` can be used to deploy the Managed Rule like | ||
any other Custom Rule. |
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# Deploying Rules Across Multiple Regions | ||
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The RDK is able to run init/deploy/undeploy across multiple regions with | ||
a `rdk -f <region file> -t <region set>` | ||
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If no region group is specified, rdk will deploy to the `default` region | ||
set. | ||
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To create a sample starter region group, run `rdk create-region-set` to | ||
specify the filename, add the `-o <region set output file name>` this | ||
will create a region set with the following tests and regions | ||
`"default":["us-east-1","us-west-1","eu-north-1","ap-east-1"],"aws-cn-region-set":["cn-north-1","cn-northwest-1"]` |
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# RuleSets | ||
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New as of version 0.3.11, it is possible to add RuleSet tags to rules | ||
that can be used to deploy and test groups of rules together. Rules can | ||
belong to multiple RuleSets, and RuleSet membership is stored only in | ||
the parameters.json metadata. The [deploy]{.title-ref}, | ||
[create-rule-template]{.title-ref}, and [test-local]{.title-ref} | ||
commands are RuleSet-aware such that a RuleSet can be passed in as the | ||
target instead of [--all]{.title-ref} or a specific named Rule. | ||
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A comma-delimited list of RuleSets can be added to a Rule when you | ||
create it (using the `--rulesets` flag), as part of a `modify` command, | ||
or using new `ruleset` subcommands to add or remove individual rules | ||
from a RuleSet. | ||
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Running `rdk rulesets list` will display a list of the RuleSets | ||
currently defined across all of the Rules in the working directory | ||
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```bash | ||
rdk rulesets list | ||
RuleSets: AnotherRuleSet MyNewSet | ||
``` | ||
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Naming a specific RuleSet will list all of the Rules that are part of | ||
that RuleSet. | ||
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```bash | ||
rdk rulesets list AnotherRuleSet | ||
Rules in AnotherRuleSet : RSTest | ||
``` | ||
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Rules can be added to or removed from RuleSets using the `add` and | ||
`remove` subcommands: | ||
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```bash | ||
rdk rulesets add MyNewSet RSTest | ||
RSTest added to RuleSet MyNewSet | ||
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rdk rulesets remove AnotherRuleSet RSTest | ||
RSTest removed from RuleSet AnotherRuleSet | ||
``` | ||
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RuleSets are a convenient way to maintain a single repository of Config | ||
Rules that may need to have subsets of them deployed to different | ||
environments. For example your development environment may contain some | ||
of the Rules that you run in Production but not all of them; RuleSets | ||
gives you a way to identify and selectively deploy the appropriate Rules | ||
to each environment. |
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```bash | ||
rdk init --generate-lambda-layer --custom-layer-name <LAYER_NAME> | ||
``` | ||
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## Create Rules | ||
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In your working directory, use the `create` command to start creating a | ||
new custom rule. You must specify the runtime for the lambda function | ||
that will back the Rule, and you can also specify a resource type (or | ||
comma-separated list of types) that the Rule will evaluate or a maximum | ||
frequency for a periodic rule. This will add a new directory for the | ||
rule and populate it with several files, including a skeleton of your | ||
Lambda code. | ||
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```bash | ||
rdk create MyRule --runtime python3.11 --resource-types AWS::EC2::Instance --input-parameters '{"desiredInstanceType":"t2.micro"}' | ||
Running create! | ||
Local Rule files created. | ||
``` | ||
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On Windows it is necessary to escape the double-quotes when specifying | ||
input parameters, so the `--input-parameters` argument would instead | ||
look something like this: | ||
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`'{\"desiredInstanceType\":\"t2.micro\"}'` | ||
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As of RDK v0.17.0, you can also specify `--resource-types ALL` to include all resource types. | ||
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Note that you can create rules that use EITHER resource-types OR | ||
maximum-frequency, but not both. We have found that rules that try to be | ||
both event-triggered as well as periodic wind up being very complicated | ||
and so we do not recommend it as a best practice. | ||
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Once you have created the rule, edit the python file in your rule | ||
directory (in the above example it would be `MyRule/MyRule.py`, but may | ||
be deeper into the rule directory tree depending on your chosen Lambda | ||
runtime) to add whatever logic your Rule requires in the | ||
`evaluate_compliance` function. You will have access to the CI that was | ||
sent by Config, as well as any parameters configured for the Config | ||
Rule. Your function should return either a simple compliance status (one | ||
of `COMPLIANT`, `NON_COMPLIANT`, or `NOT_APPLICABLE`), or if you're | ||
using the python or node runtimes you can return a JSON object with | ||
multiple evaluation responses that the RDK will send back to AWS Config. | ||
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An example would look like: | ||
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```python | ||
for sg in response['SecurityGroups']: | ||
evaluations.append( | ||
{ | ||
'ComplianceResourceType': 'AWS::EC2::SecurityGroup', | ||
'ComplianceResourceId': sg['GroupId'], | ||
'ComplianceType': 'COMPLIANT', | ||
'Annotation': 'This is an important note.', | ||
'OrderingTimestamp': str(datetime.datetime.now()) | ||
}) | ||
return evaluations | ||
``` | ||
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This is necessary for periodic rules that are not triggered by any CI | ||
change (which means the CI that is passed in will be null), and also for | ||
attaching annotations to your evaluation results. | ||
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If you want to see what the JSON structure of a CI looks like for | ||
creating your logic, you can use | ||
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```bash | ||
rdk sample-ci <Resource Type> | ||
``` | ||
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to output a formatted JSON document. | ||
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For a deeper dive on how to create RDK rules visit [Creating Rules](./creating-and-editing-rules/creating-rules.md). | ||
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### Write and Run Unit Tests | ||
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If you are writing Config Rules using either of the Python runtimes | ||
there will be a `<rule name>_test.py` file deployed along with your | ||
Lambda function skeleton. This can be used to write unit tests according | ||
to the standard Python unittest framework (documented | ||
[here](https://docs.python.org/3/library/unittest.html)), which can be | ||
run using the `test-local` rdk command: | ||
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```bash | ||
rdk test-local MyTestRule | ||
Running local test! | ||
Testing MyTestRule | ||
Looking for tests in /Users/mborch/Code/rdk-dev/MyTestRule | ||
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--------------------------------------------------------------------- | ||
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Ran 0 tests in 0.000s | ||
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OK | ||
<unittest.runner.TextTestResult run=0 errors=0 failures=0> | ||
``` | ||
The test file includes setup for the MagicMock library that can be used | ||
to stub boto3 API calls if your rule logic will involve making API calls | ||
to gather additional information about your AWS environment. For some | ||
tips on how to do this, check out this blog post: | ||
[Mock Is Magic](https://sgillies.net/2017/10/19/mock-is-magic.html) | ||
For a deeper dive on how to run unit tests visit [Writing Unit Test](./writing-test-units.md). | ||
## Running the tests | ||
The `testing` directory contains scripts and buildspec files that I use | ||
to run basic functionality tests across a variety of CLI environments | ||
(currently Ubuntu Linux running Python 3.7/3.8/3.9/3.10, and Windows Server | ||
running Python 3.10). If there is interest I can release a CloudFormation | ||
template that could be used to build the test environment, let me know | ||
if this is something you want! | ||
## Support & Feedback | ||
This project is maintained by AWS Solution Architects and Consultants. | ||
It is not part of an AWS service and support is provided best-effort by | ||
the maintainers. To post feedback, submit feature ideas, or report bugs, | ||
please use the [Issues | ||
section](https://github.com/awslabs/aws-config-rdk/issues) of this repo. | ||
## Contributing | ||
email us at <[email protected]> if you have any questions. We | ||
are happy to help and discuss. | ||
## Contacts | ||
- **Benjamin Morris** - [bmorrissirromb](https://github.com/bmorrissirromb) - _current maintainer_ | ||
- **Julio Delgado Jr** - [tekdj7](https://github.com/tekdj7) - _current maintainer_ | ||
- **Carlo DePaolis** - [depaolism](https://github.com/depaolism) _current maintainer_ | ||
- **Nima Fotouhi** - [nimaft](https://github.com/nimaft) - _current maintainer_ | ||
## Past Contributors | ||
- **Michael Borchert** - _Original Python version_ | ||
- **Jonathan Rault** - _Original Design, testing, feedback_ | ||
- **Greg Kim and Chris Gutierrez** - _Initial work and CI definitions_ | ||
- **Henry Huang** - _Original CFN templates and other code_ | ||
- **Santosh Kumar** - _maintainer_ | ||
- **Jose Obando** - _maintainer_ | ||
- **Jarrett Andrulis** - [jarrettandrulis](https://github.com/jarrettandrulis) - _maintainer_ | ||
- **Sandeep Batchu** - [batchus](https://github.com/batchus) - _maintainer_ | ||
- **Mark Beacom** - [mbeacom](https://github.com/mbeacom) - _maintainer_ | ||
- **Ricky Chau** - [rickychau2780](https://github.com/rickychau2780) - _maintainer_ | ||
## License | ||
This project is licensed under the Apache 2.0 License | ||
## Acknowledgments | ||
- the boto3 team makes all of this magic possible. | ||
## Link | ||
- to view example of rules built with the RDK: [https://github.com/awslabs/aws-config-rules/tree/master/python](https://github.com/awslabs/aws-config-rules/tree/master/python) |
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