Skip to main content

@cdklabs/cdk-ssm-documents

Project description

SSM Document CDK

This library provides a code-based utility for implementing SSM Documents. The SSM Document objects can be used to print YAML/JSON documents and to mimic document processing locally.

This library abstracts SSM Documents at a high level, with each step as well as the document itself being objects. The properties needed to build these objects correlate to the settings that apply to them, making them simple to make. This library can be used to test your document locally before deploying it to SSM.

Since the library is written in JSII, it can be exported to other languages that support JSII (Java, Python).

This is what you'd use if you wanted to:

  1. The ability to test without deploying resources or executing an actual SSM on AWS.
  2. Reusability of steps between documents by reusing existing items
  3. Create logical higher-level groupings of reusable groups of steps ("Patterns")
  4. Simple to use interface for writing documents
  5. Import existing documents from a file (or string) and mimic them locally to test them.

Usage

Document Creation

Typescript usage (Execute AWS API Step)... The below creates the AutomationDocument in an AWS CDK stack.

import { AutomationDocument } from './automation-document';

export class HelloWorld extends Stack {
  constructor(app: Construct, id: string) {
    super(app, id);

    // Create AutomationDocument
    const myDoc = new AutomationDocument(this, "MyDoc", {
      documentFormat: DocumentFormat.JSON,
      documentName: "MyDoc",
      docInputs: [Input.ofTypeString('MyInput', { defaultValue: 'a' })],
    });

    // Define your steps...
    myDoc.addStep(new PauseStep(this, "MyPauseStep", {
      name: "MyPauseStep",
      explicitNextStep: StepRef.fromName("step1") // Optional (will default to next added step)
    }));

    myDoc.addStep(new ExecuteScriptStep(this, "MyExecuteStep", {
      name: "step1",
      language: ScriptLanguage.python(PythonVersion.VERSION_3_6, 'my_func'),
      code: ScriptCode.fromFile(resolve("test/test_file.py")),
      // OR ScriptCode.inline("def my_func(args, context):\n  return {'MyReturn': args['MyInput'] + '-suffix'}\n"),
      outputs: [{
        outputType: DataTypeEnum.STRING,
        name: "MyFuncOut",
        selector: "$.Payload.MyReturn"
      }],
      onFailure: OnFailure.abort(),
      inputPayload: { MyInput: StringVariable.of('MyInput') },
    }));
  }
}

Document JSON/YAML Export as YAML/JSON

You can deploy the above document using CDK. To print the above document object as a JSON (or YAML), do the following:

const myDocJson = myDoc.print(); // Print YAML by setting the documentFormat to YAML

Document Simulation

To run the document object in simulation mode, use the below. Simulation mode does NOT hit the SSM API, rather it mimics the execution that will happen in an SSM execution. The run happens locally and allows you to mock the calls to external services (AWS APIs for example) or to invoke those services using your local credentials.

import { Simulation } from './simulation';

const myDocJson = Simulation.ofAutomation(myDoc, {}).simulate({ MyInput: "FooBar" });

Command Documents

Below is an example of how to use the library to create Command documents. Simulation for command documents is not yet supported for all command plugins. You can use a Docker image/container as a playground for testing the Command document execution for the supported plugins.

In this example there is a complete CDK stack. Notice that the CommandDocument is saved as a field so that it can be tested from the test code.

export class HelloCdkStack extends Stack {
  readonly myCommandDoc: CommandDocument;
  constructor(scope: Construct, id: string, props?: StackProps) {
    super(scope, id, props);
    this.myCommandDoc = new CommandDocument(this, "MyCommandDoc", {
      docInputs: [Input.ofTypeString('FirstCommand', { defaultValue: 'a' })],
    })
    const runScriptStep = new RunShellScriptStep(this, "MyShellScript", {
      runCommand: [
        StringVariable.of("FirstCommand"),
        HardCodedString.of("mkdir asdf"),
      ],
    });
    this.myCommandDoc.addStep(runScriptStep);
  }
}

Below is an example of how you would run a simulation against the above CommandDocument.

Currently, bash must be available in the container or the executions against the docker will not succeed.

test('Test command doc', () => {
  const app = new cdk.App();
  const stack = new HelloCdk.HelloCdkStack(app, 'MyTestStack');
  // 1. $ docker pull amazonlinux
  // 2. $ docker run -di amazonlinux
  const simulation = Simulation.ofCommand(stack.myCommandDoc, {
    simulationPlatform: Platform.LINUX,
    environment: DockerEnvironment.fromContainer('MY_CONTAINER_ID')
  });
  simulation.simulate({FirstCommand: 'mkdir foobar'})
  // 3. The document should run the first command (create 'foobar') and create file 'asdf'
  // 4. $ docker exec -it <container name> bash
  // 5. Ensure that 'asdf' and 'foobar' were written to /tmp
});

Patterns (High-Level Constructs)

In typical CDK style, you can assemble often used groups of steps into higher level Constructs.

Consider if you typically create AutomationDocuments that start with logging the time and end with logging the total time taken. You can create a high-level Automation Document and extend that when you implement an Automation.

See the TimedDocument class to see such implementation.

Or consider the case of multiple steps that are always run together such as rebooting and instance and waiting for it to be active.

The below example is copied from the RebootInstanceAndWait class:

export class RebootInstanceAndWait extends CompositeAutomationStep {

  readonly reboot: AwsApiStep;
  readonly describe: WaitForResourceStep;

  constructor(scope: Construct, id: string, instanceId: IStringVariable) {
    super(scope, id);
    this.reboot = new AwsApiStep(this, 'RebootInstances', {
      service: AwsService.EC2,
      pascalCaseApi: 'RebootInstances',
      apiParams: { InstanceIds: [instanceId] },
      outputs: [],
    });
    this.describe = new WaitForResourceStep(this, 'DescribeInstances', {
      service: AwsService.EC2,
      pascalCaseApi: 'DescribeInstances',
      apiParams: { InstanceIds: [instanceId] },
      selector: '$.Reservations[0].Instances[0].State.Name',
      desiredValues: ['running'],
    });
  }

  addToDocument(doc: AutomationDocumentBuilder): void {
    doc.addStep(this.reboot);
    doc.addStep(this.describe);
  }
}

Now, you can use RebootInstanceAndWait as a step in a document and the child steps will be included.

Existing Documents

Do you have an existing document that you want to convert to code and/or test locally using the simulation?

Import Existing Document

Here is an example of how you can import an existing document and then simulate it locally with mocked AWS resources:

// Initialize Mocks
const sleeper = new MockSleep();
const awsInvoker = new MockAwsInvoker();
awsInvoker.whenThen(
    // when invoked with...
    {awsApi: 'listBuckets', awsParams: {}, service: AwsService.S3},
    // then response with...
    {Owner: {ID: "BUCKET_ID"}})

// ======> Create document from file <=======
const stack: Stack = new Stack();
const myAutomationDoc = StringDocument.fromFile(stack, "MyAutomationDoc", 'test/myAutomation.json', {
                                                                        // ======================
});

// Execute simulation
const simOutput = Simulation.ofAutomation(myAutomationDoc, {
  sleepHook: sleeper,
  awsInvoker: awsInvoker
}).simulate({});

// Assert simulation result
assert.deepEqual(awsInvoker.previousInvocations, [
    { awsApi: 'listBuckets', awsParams: {}, service: AwsService.S3 }]);
assert.deepEqual(sleeper.sleepMilliInvocations, [3000]);
assert.deepEqual(simOutput.outputs['simulationSteps'], ['MySleep', 'GetBucketId']);

Import Existing Steps

You can also grab a string step (or steps) and import them as CDK step constructs. This can be used to convert existing documents into CDK with each step defined separately. Doing so will allow you do modify steps and reuse them in other documents.

Here's a simple example of a sleep step copy and pasted from its original yaml:

StringStep.fromYaml(this, `
    name: sleep
    action: aws:sleep
    inputs:
      Duration: PT0M
`, {});

The above will return the CDK construct SleepStep.

Incident Manager

This library provides L2 constructs for IncidentResponse as follows:

new IncidentResponse(this, "MyIncidentResponsePlan", {
      incidentTemplate: IncidentTemplate.critical('EC2 Instance Utilization Impacted', {
        summary: 'EC2 Instance Impacted'
      }),
      actions: [
        IncidentResponseAction.ssmAutomation(myAutomationDoc, ec2CwAlarmRole, {
          parameters: {
            IncidentRecordArn: StringVariable.of('INCIDENT_RECORD_ARN'),
            InvolvedResources: StringVariable.of('INVOLVED_RESOURCES'),
            AutomationAssumeRole: HardCodedString.of(ec2CwAlarmRole.roleArn),
          }
        })
      ]
});

Notice how the myAutomationDoc is specified which is a reference to an AutomationDocument created using this library.

What is Planned?

This library currently contains AutomationDocument and CommandDocument steps. Simulation for AutomationDocuments is fully supported. Simulation for CommandDocuments is limited.

Stay tuned!

Related Projects

Security

See CONTRIBUTING for more information.

License

This project is licensed under the Apache-2.0 License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cdklabs_cdk_ssm_documents-0.0.43.tar.gz (17.7 MB view details)

Uploaded Source

Built Distribution

cdklabs.cdk_ssm_documents-0.0.43-py3-none-any.whl (17.7 MB view details)

Uploaded Python 3

File details

Details for the file cdklabs_cdk_ssm_documents-0.0.43.tar.gz.

File metadata

File hashes

Hashes for cdklabs_cdk_ssm_documents-0.0.43.tar.gz
Algorithm Hash digest
SHA256 8c64e6b6663cdff56a12f85f91194198315a2ef3cbe8c8b01da192f392ef4b5d
MD5 ae73272ef071b4072054998e16fd2ee5
BLAKE2b-256 c70140fde7fd101c33fa64fb4e53a9e061ba8067ad43ebc5e8ea700dc211594e

See more details on using hashes here.

File details

Details for the file cdklabs.cdk_ssm_documents-0.0.43-py3-none-any.whl.

File metadata

File hashes

Hashes for cdklabs.cdk_ssm_documents-0.0.43-py3-none-any.whl
Algorithm Hash digest
SHA256 a4c025e6b47079a839e3df2d6b731744e75d12865e1909c19799dd667e360f6b
MD5 82fb6701c9a2ea196543a461bba4b66a
BLAKE2b-256 4bf91db538c28f2dd540415f11def1bb8a96a24620224fdbd70adf738c45c578

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page