Deploy Elastic Cloud Forwarder for AWS

Elastic Cloud Forwarder for AWS can be deployed using any of the following methods:

Deployment method Description
CloudFormation (AWS CLI) Deploy using AWS CLI commands with CloudFormation templates.
CloudFormation (AWS Console) Deploy using the AWS Management Console UI.
AWS Serverless Application Repository (SAR) Deploy directly from the AWS Serverless Application Repository.

Each method achieves the same result and uses CloudFormation templates. Choose the method that best adapts to your workflow.

Use the AWS CLI to deploy the forwarder with CloudFormation templates. This method is ideal for automation and infrastructure-as-code workflows.

The following examples show how to deploy Elastic Cloud Forwarder using AWS CloudFormation CLI. Copy and paste these commands after replacing the placeholder values with your actual configuration.

  • Use the --template-url flag to reference a template hosted on S3.
  • Use the --region flag to specify the AWS region where the CloudFormation stack will be deployed. The CloudFormation stack deployment region must match the region of your log sources.
  • To always use the most recent stable templates, use the latest path. For example, v1/latest.
  • To pin a specific version, replace latest with the desired version tag. For example, v1/v{{version.edot-cf-aws}}.

Alternatively, if you have downloaded the template file, use the --template-body file://<path> option with a local template file.

This example deploys a single CloudFormation stack that collects VPC Flow logs and CloudTrail logs from two S3 buckets, and VPC Flow logs from a CloudWatch Log Group, as OTel-native logs.

aws cloudformation create-stack \
  --stack-name ecf \
  --template-url https://edot-cloud-forwarder.s3.amazonaws.com/v1/latest/cloudformation/otel_logs-cloudformation.yaml \
  --capabilities CAPABILITY_NAMED_IAM \
  --region eu-central-1 \
  --parameters \
    ParameterKey=OTLPEndpoint,ParameterValue="<placeholder>" \
    ParameterKey=ElasticAPIKey,ParameterValue="<placeholder>" \
    ParameterKey=S3Buckets,ParameterValue='"arn:aws:s3:::your-vpc-bucket,arn:aws:s3:::your-cloudtrail-bucket"' \
    ParameterKey=CloudWatchLogGroups,ParameterValue='"arn:aws:logs:eu-central-1:123456789012:log-group:vpc-flow:*"' \
    ParameterKey=LogTypes,ParameterValue='"vpcflow,cloudtrail"'
		
Note

Wrap comma-separated list values in double quotes so the AWS CLI passes them as a single parameter value. Set LogTypes to all (the default) to forward every supported log type found in the configured sources. Provide at least one of S3Buckets or CloudWatchLogGroups.

This example deploys a single CloudFormation stack in ECS mode that collects VPC Flow logs and GuardDuty findings from two S3 buckets and writes them to the data streams used by the Elastic AWS integration.

aws cloudformation create-stack \
  --stack-name ecf-ecs \
  --template-url https://edot-cloud-forwarder.s3.amazonaws.com/v1/latest/cloudformation/ecs_logs-cloudformation.yaml \
  --capabilities CAPABILITY_NAMED_IAM \
  --region eu-central-1 \
  --parameters \
    ParameterKey=OTLPEndpoint,ParameterValue="<placeholder>" \
    ParameterKey=ElasticAPIKey,ParameterValue="<placeholder>" \
    ParameterKey=S3Buckets,ParameterValue='"arn:aws:s3:::your-vpc-bucket,arn:aws:s3:::your-guardduty-bucket"' \
    ParameterKey=LogTypes,ParameterValue='"vpcflow,guardduty"' \
    ParameterKey=DataStreamNamespace,ParameterValue="default"
		
Note

For GuardDuty buckets encrypted with customer-managed keys, also set GuardDutyKMSKeyARNs. Refer to ECS mode parameters for the full parameter list.

This example deploys a CloudFormation stack to collect CrowdStrike events from a configured Falcon Data Replicator(FDR) feed. Collected data is then written to the logs-crowdstrike.fdr-default data stream installed through Elastic CrowdStrike Integration.

aws cloudformation create-stack \
  --stack-name ecf-crowdstrike-fdr \
  --template-url https://edot-cloud-forwarder.s3.amazonaws.com/v1/latest/cloudformation/crowdstrike_fdr_cloudformation.yaml \
  --capabilities CAPABILITY_NAMED_IAM \
  --region eu-central-1 \
  --parameters \
    ParameterKey=OTLPEndpoint,ParameterValue="<placeholder>" \
    ParameterKey=ElasticAPIKey,ParameterValue="<placeholder>" \
    ParameterKey=FeedClientID,ParameterValue="<placeholder>" \
    ParameterKey=FeedSecret,ParameterValue="<placeholder>" \
    ParameterKey=FeedSQSURL,ParameterValue="<placeholder>" \
    ParameterKey=FeedStorageRegion,ParameterValue="<placeholder>"
		
Note

The --capabilities CAPABILITY_NAMED_IAM flag is required because this CloudFormation template creates AWS Identity and Access Management (IAM) resources. More specifically, it creates a named IAM role (LambdaExecutionRole) for the Lambda function. To acknowledge that AWS CloudFormation might create or modify IAM resources with custom names, you must specify the CAPABILITY_NAMED_IAM capability.

To update an existing CloudFormation stack while preserving some parameter values, follow these steps:

  1. Identify the stack to update

    Determine the name of the CloudFormation stack you want to modify.

  2. Prepare the update command

    Use the following structure for your update command:

    • Include all required parameters.
    • Use UsePreviousValue=true for parameters that should remain unchanged.
    • Specify ParameterValue=<new-value> for parameters that need to be updated.
  3. Run the update-stack command

    Run the command with the following parameters:

    aws cloudformation update-stack \
      --template-url https://edot-cloud-forwarder.s3.amazonaws.com/v1/latest/cloudformation/<template-file-name>.yaml \
      --stack-name <stack-name> \
      --capabilities CAPABILITY_NAMED_IAM \
      --region eu-central-1 \
      --parameters \
          ParameterKey=Param1,UsePreviousValue=true \
          ParameterKey=Param2,UsePreviousValue=true \
          ParameterKey=Param3,UsePreviousValue=true \
          ParameterKey=Param4,ParameterValue=<new-value>
    		
  4. Verify the update

    After running the command, check the stack status in the AWS Management Console under CloudFormationStacks. Then, run this command to confirm the updated parameter values:

    aws cloudformation describe-stacks --stack-name <stack-name>
    		

The AWS CloudFormation console supports a one-click flow that uses the Launch Stack button, or a manual flow where you paste the template URL.

For the canonical one-click flow for each mode, refer to the Quick start on the product landing page. The Launch Stack buttons there cover OpenTelemetry mode, ECS mode, and CrowdStrike FDR.

Tip

The CloudFormation stack deployment region must match the region of your log sources (S3 buckets or CloudWatch Log Groups).

To manually specify the template, follow these steps:

  1. Navigate to CloudFormation in the AWS Console.
  2. Select Create Stack and choose With new resources (standard) to start a fresh deployment.
  3. Select one of the following options under Specify template:
    • Amazon S3 URL (Recommended): Paste the CloudFormation template URL from CloudFormation templates.
    • Upload a template file: Download the template from the S3 URL and upload it manually.
  4. Select Next and configure all required parameters using the settings described in Configure the template.
  5. Select Next again and check Acknowledge IAM capabilities. This is required because the template creates named IAM roles with permissions to access the required resources.
  6. Review your configuration and select Submit to deploy the stack.
  7. Monitor the progress until the stack reaches the CREATE_COMPLETE state.

To modify parameters of an existing stack through the AWS Console:

  1. Navigate to CloudFormation in the AWS Management Console.
  2. Select the stack you want to update.
  3. Click Update stack and select either Make a direct update or Create a change set.
  4. Choose Use existing template.
  5. Select Next.
  6. Modify the parameter values as needed (refer to Configure the template for parameter descriptions).
  7. Select Next and review your changes.
  8. Select Submit to apply the updates. For a change set, select Execute changeset to apply it.
  9. Monitor the stack update progress in the console.

In addition to deploying through CloudFormation templates, you can deploy Elastic Cloud Forwarder directly from the AWS Serverless Application Repository (SAR).

To deploy from SAR, follow these steps:

  1. Navigate to AWS Serverless Application Repository in the AWS Management Console.
  2. Select Available applications and check the box Show apps that create custom IAM roles or resource policies.
  3. Search for the appropriate application:
    • OpenTelemetry mode: Search for elastic-cloud-forwarder-logs-otel.
    • ECS mode: Search for elastic-cloud-forwarder-logs-ecs. Refer to Modes for context and to ECS mode parameters for the additional template parameters.
    • CrowdStrike FDR: Search for elastic-cloud-forwarder-fdr.
  4. Select the application.
  5. Configure the application settings: Under Application settings, fill in the parameters described in the Configure the template section. Refer to that section for details on each parameter.
  6. Acknowledge IAM role creation: At the bottom of the page, check the box to acknowledge that the application will create custom IAM roles. This is required for the forwarder to access your log source and send data to Elastic Observability.
  7. Select Deploy.

The deployment process will start, and a CloudFormation stack will be created with all the necessary resources. You can monitor the progress in the AWS CloudFormation console under Stacks.

The legacy single log type applications remain available but are deprecated and will be removed in a future release: edot-cloud-forwarder-s3-logs (S3, OpenTelemetry), edot-cloud-forwarder-cloudwatch-logs (CloudWatch, OpenTelemetry), and cloud-forwarder-s3-logs-ecs (S3, ECS). For new deployments, use the unified applications listed above.

Note

The same deployment considerations apply to SAR deployments, including the requirement that the deployment region matches your log source region.

The CloudFormation templates create a number of resources to process logs from the configured sources.

The unified templates (otel_logs and ecs_logs) create the following resources. S3 and CloudWatch wiring resources are only created when the corresponding source list is non-empty.

Resource name Type Description
LambdaFunction AWS::Lambda::Function Core Lambda function responsible for processing incoming logs. This is a key resource in the stack.
LambdaExecutionRole AWS::IAM::Role IAM role granting permissions needed for the Lambda function to read source buckets and write to the failure bucket.
LambdaInvokeConfig AWS::Lambda::EventInvokeConfig Configures error handling and invocation settings for the Lambda function, including the on-failure destination.
LambdaLogGroup AWS::Logs::LogGroup CloudWatch log group storing logs for the main Lambda function. Useful for debugging and monitoring.
S3FailureBucket AWS::S3::Bucket Bucket for storing failed invocations, preventing data loss. Only created when S3FailureBucketARN is not provided.
LambdaPermissionS3 AWS::Lambda::Permission Grants permission for S3 to invoke the Lambda function when new objects arrive.
S3NotificationManagerLambda, CustomS3NotificationManager AWS::Lambda::Function, AWS::CloudFormation::CustomResource Helper that creates the S3 event notifications on every configured source bucket.
S3NotificationCleanupLambda, CustomS3NotificationCleanup AWS::Lambda::Function, AWS::CloudFormation::CustomResource Helper that removes stale S3 event notifications when sources change or the stack is deleted.
LambdaPermissionCloudWatch AWS::Lambda::Permission Grants permission for CloudWatch Logs to invoke the Lambda function.
SubscriptionFilterManagerLambda, CustomSubscriptionFilterManager AWS::Lambda::Function, AWS::CloudFormation::CustomResource Helper that creates the subscription filters on every configured Log Group.
SubscriptionFilterCleanupLambda, CustomSubscriptionFilterCleanup AWS::Lambda::Function, AWS::CloudFormation::CustomResource Helper that removes stale subscription filters when sources change or the stack is deleted.
S3NotificationManagerRole, S3NotificationCleanupRole, SubscriptionFilterManagerRole, SubscriptionFilterCleanupRole and their policies AWS::IAM::Role, AWS::IAM::Policy IAM roles and policies granting the helper Lambda functions permission to manage S3 notifications and subscription filters on the configured sources.

The helper Lambda functions run only during stack create, update, and delete. They keep the S3 notifications and subscription filters in sync with the S3Buckets and CloudWatchLogGroups parameters.

The unified stacks expose the following outputs:

Output Description
LambdaFunctionArn ARN of the forwarder Lambda function.
LambdaCloudWatchLogGroupArn ARN of the Lambda function's own log group.
S3FailureBucketARN ARN of the failure bucket in use, whether created by the stack or provided.
WiredS3Buckets The S3 buckets this stack wired to the forwarder.
WiredLogGroups The CloudWatch Log Groups this stack wired to the forwarder.
EnabledLogTypes The log types this stack is configured to forward.

This is a list of resources created by the stack when collecting CrowdStrike events from a Falcon Data Replicator (FDR) feed.

Resource name Type Description
LambdaExecutionRole AWS::IAM::Role IAM role granting the Lambda function permissions to write to CloudWatch Logs, access the failure S3 bucket, and invoke itself to fan out FDR file processing.
LambdaFunction AWS::Lambda::Function Core Lambda function that polls the FDR SQS queue on scheduler trigger, and processes SQS messages to extract CrowdStrike events. This is a key resource in the stack.
LambdaInvokeConfig AWS::Lambda::EventInvokeConfig Configures error handling and invocation settings for the Lambda function, including the on-failure destination.
LambdaLogGroup AWS::Logs::LogGroup CloudWatch log group storing execution logs for the Lambda function. Useful for debugging and monitoring.
SchedulerExecutionRole AWS::IAM::Role IAM role assumed by EventBridge Scheduler to invoke the Lambda function on a schedule.
PollSchedule AWS::Scheduler::Schedule EventBridge Scheduler that periodically triggers the Lambda function to poll the FDR SQS queue.
S3FailureBucketARN AWS::S3::Bucket ARN of the bucket for storing failed Lambda invocations to prevent data loss, in the format arn:aws:s3:::your-bucket-name.

The PollSchedule (with SchedulerExecutionRole) drives the polling loop on a fixed interval, while LambdaInvokeConfig and the failure bucket, S3FailureBucketARN, capture unprocessed events to prevent data loss.

This is a list of resources created by the legacy stacks when processing S3 logs.

Resource name Type Description
CustomNotificationUpdater AWS::CloudFormation::CustomResource Custom resource used to manage S3 event notifications dynamically.
LambdaExecutionRole AWS::IAM::Role IAM role granting permissions needed for the Lambda function to interact with S3 and other AWS services.
LambdaFunction AWS::Lambda::Function Core Lambda function responsible for processing incoming logs from S3. This is a key resource in the stack.
LambdaInvokeConfig AWS::Lambda::EventInvokeConfig Configures error handling and invocation settings for the Lambda function.
LambdaLogGroup AWS::Logs::LogGroup CloudWatch log group storing logs for the main Lambda function. Useful for debugging and monitoring.
LambdaPermissionS3Bucket AWS::Lambda::Permission Grants permission for S3 to invoke the Lambda function when new logs arrive.
LambdaS3TriggerPolicy AWS::IAM::Policy IAM policy allowing the Lambda function to process events triggered by S3.
NotificationUpdaterLambda AWS::Lambda::Function Utility Lambda function handling S3 event notification updates dynamically.
NotificationUpdaterLambdaLogGroup AWS::Logs::LogGroup CloudWatch log group storing logs for the NotificationUpdaterLambda function.
S3FailureBucketARN AWS::S3::Bucket ARN of the bucket for storing failed invocations from the forwarder Lambda function, preventing data loss, in the format arn:aws:s3:::your-bucket-name. If not defined, the template creates a dedicated failure bucket automatically.

The main Lambda function, LambdaFunction, is the core component for processing S3 logs. S3 event notifications are handled dynamically using CustomNotificationUpdater and NotificationUpdaterLambda.

CloudWatch logs ensure detailed monitoring of Lambda executions. IAM roles and permissions control access between S3 and Lambda functions, while S3FailureBucketARN prevents data loss by capturing unprocessed logs.

This is a list of resources created by the legacy stacks when CloudWatch logs are the source.

Resource name Type Description
CloudWatchLogSubscriptionFilter AWS::Logs::SubscriptionFilter Defines a filter that forwards logs from a CloudWatch Log Group to the Lambda function. Critical for log processing.
LambdaExecutionRole AWS::IAM::Role IAM role granting necessary permissions for the Lambda function to interact with CloudWatch Logs and other AWS services.
LambdaFunction AWS::Lambda::Function Core Lambda function responsible for processing incoming logs from CloudWatch. This is a key resource in the stack.
LambdaInvokeConfig AWS::Lambda::EventInvokeConfig Configures event invocation settings, including error handling and retry behavior.
LambdaLogGroup AWS::Logs::LogGroup CloudWatch log group that stores execution logs for the main Lambda function, aiding monitoring and debugging.
LambdaPermissionCloudWatch AWS::Lambda::Permission Grants permission for CloudWatch Logs to invoke the Lambda function, enabling real-time log streaming.
S3FailureBucketARN AWS::S3::Bucket ARN of the bucket for storing failed log events to prevent data loss, in the format arn:aws:s3:::your-bucket-name.

The CloudWatch Log Subscription Filter, CloudWatchLogSubscriptionFilter, ensures logs are correctly forwarded to the Lambda function. The Lambda function, LambdaFunction, serves as the core processing unit for CloudWatch logs.

CloudWatch Log Groups help monitor execution performance and debug issues. IAM permissions (LambdaExecutionRole, LambdaPermissionCloudWatch) control interactions between CloudWatch and Lambda, while the failure bucket, S3FailureBucketARN, helps prevent data loss in case of processing errors.

If you no longer need a deployed stack and want to clean up all associated resources, you can remove it using either the AWS CLI or the AWS Console.

Deleting a stack removes all AWS resources created by that stack. However:

  • If you allowed the stack to automatically create a dedicated S3 bucket for failed Lambda invocations, that bucket is not removed if it contains objects, because CloudFormation doesn't force-remove non-empty buckets. To remove the bucket entirely, you must empty it manually before deleting it.
  • If you specified an existing bucket through the S3FailureBucketARN parameter, that bucket is not removed because it is not managed by the stack.

Use the following command to remove a stack:

aws cloudformation delete-stack \
  --stack-name <stack-name> \
  --region <stack-region>
		

You can monitor the deletion progress through this command:

aws cloudformation describe-stacks \
  --stack-name <stack-name> \
  --region <stack-region>
		

If the stack deletion fails and remains in a DELETE_FAILED state, you can retry the deletion with force mode:

aws cloudformation delete-stack \
  --stack-name <stack-name> \
  --region <stack-region> \
  --deletion-mode FORCE_DELETE_STACK
		

This forcibly removes the stack's resources, except any that cannot be removed, like the failure S3 bucket if it still contains objects. For a complete cleanup, empty the bucket manually before retrying deletion.

To remove a stack using the AWS Management Console:

  1. Navigate to CloudFormation in the AWS Management Console.
  2. Select the stack you want to remove from the list.
  3. Click Delete at the top of the stack details page.
  4. Monitor the deletion progress on the Events tab or wait until the stack disappears from the stack list (indicating deletion is complete).
  • Configuration settings: Learn about all configuration options, including optional settings and sizing recommendations.
  • Troubleshooting: Diagnose and resolve issues with log forwarding.