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Cloud Posse

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Terraform module to provision an S3 bucket with built in policy to allow CloudTrail logs.

This is useful if an organization uses a number of separate AWS accounts to isolate the Audit environment from other environments (production, staging, development).

In this case, you create CloudTrail in the production environment (Production AWS account), while the S3 bucket to store the CloudTrail logs is created in the Audit AWS account, restricting access to the logs only to the users/groups from the Audit account.

The module supports the following:

  1. Forced server-side encryption at rest for the S3 bucket
  2. S3 bucket versioning to easily recover from both unintended user actions and application failures
  3. S3 bucket is protected from deletion if it's not empty (force_destroy set to false)

This project is part of our comprehensive "SweetOps" approach towards DevOps.

Terraform Open Source Modules

It's 100% Open Source and licensed under the APACHE2.

We literally have hundreds of terraform modules that are Open Source and well-maintained. Check them out!

Usage

module "s3_bucket" {
  source    = "git::https://github.com/cloudposse/terraform-aws-cloudtrail-s3-bucket.git?ref=master"
  namespace = "cp"
  stage     = "prod"
  name      = "cluster"
  region    = "us-east-1"
}

Makefile Targets

Available targets:

  help                                Help screen
  help/all                            Display help for all targets
  help/short                          This help short screen
  lint                                Lint terraform code

Inputs

Name Description Type Default Required
acl Canned ACL to apply to the S3 bucket string log-delivery-write no
attributes Additional attributes (e.g. logs) list <list> no
delimiter Delimiter to be used between namespace, stage, name and attributes string - no
expiration_days Number of days after which to expunge the objects string 90 no
force_destroy A boolean that indicates the bucket can be destroyed even if it contains objects. These objects are not recoverable string false no
glacier_transition_days Number of days after which to move the data to the glacier storage tier string 60 no
kms_master_key_id The AWS KMS master key ID used for the SSE-KMS encryption. This can only be used when you set the value of sse_algorithm as aws:kms. The default aws/s3 AWS KMS master key is used if this element is absent while the sse_algorithm is aws:kms string `` no
lifecycle_prefix Prefix filter. Used to manage object lifecycle events string `` no
lifecycle_rule_enabled Enable lifecycle events on this bucket string true no
lifecycle_tags Tags filter. Used to manage object lifecycle events map <map> no
name Name (e.g. app or cluster) string - yes
namespace Namespace (e.g. cp or cloudposse) string - yes
noncurrent_version_expiration_days Specifies when noncurrent object versions expire string 90 no
noncurrent_version_transition_days Specifies when noncurrent object versions transition string 30 no
region AWS Region for S3 bucket string us-east-1 no
sse_algorithm The server-side encryption algorithm to use. Valid values are AES256 and aws:kms string AES256 no
stage Stage (e.g. prod, dev, staging) string - yes
standard_transition_days Number of days to persist in the standard storage tier before moving to the infrequent access tier string 30 no
tags Additional tags (e.g. map(BusinessUnit,XYZ) map <map> no
versioning_enabled A state of versioning. Versioning is a means of keeping multiple variants of an object in the same bucket string true no

Outputs

Name Description
bucket_arn Bucket ARN
bucket_domain_name FQDN of bucket
bucket_id Bucket ID
prefix Prefix configured for lifecycle rules

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Contributing

Bug Reports & Feature Requests

Please use the issue tracker to report any bugs or file feature requests.

Developing

If you are interested in being a contributor and want to get involved in developing this project or help out with our other projects, we would love to hear from you! Shoot us an email.

In general, PRs are welcome. We follow the typical "fork-and-pull" Git workflow.

  1. Fork the repo on GitHub
  2. Clone the project to your own machine
  3. Commit changes to your own branch
  4. Push your work back up to your fork
  5. Submit a Pull Request so that we can review your changes

NOTE: Be sure to merge the latest changes from "upstream" before making a pull request!

Copyright

Copyright © 2017-2019 Cloud Posse, LLC

License

License

See LICENSE for full details.

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.

Trademarks

All other trademarks referenced herein are the property of their respective owners.

About

This project is maintained and funded by Cloud Posse, LLC. Like it? Please let us know by leaving a testimonial!

Cloud Posse

We're a DevOps Professional Services company based in Los Angeles, CA. We ❤️ Open Source Software.

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Contributors

Andriy Knysh
Andriy Knysh

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