The Amazon S3 connector allows integration with Amazon S3 storage via the AWS API. It enables storing and retrieving objects from S3 as well as building applications that leverage S3 storage. The connector requires AWS credentials and supports all standard S3 operations like creating/deleting buckets and objects, uploading/downloading data, and more. A sample Mule application demonstrates creating a bucket using the S3 connector.

1. Mule AWS S3
The Anypoint Amazon S3 Connector provides connectivity to the the
Amazon S3 API, enabling you to interface with Amazon S3 to store objects,
download and use data with other AWS services, and build applications that
call for internet storage. Instant access to the Amazon S3 API enables
seamless integrations between Amazon S3 and other databases, CMS
applications such as Drupal, and CRM applications such as Salesforce.

2. Prerequisites
• To use the Amazon S3 connector, you must have the following:
• Access to Amazon Web Services.
• To access AWS with the connector, you need the credentials in
the form of IAM.
• Anypoint Studio Enterprise edition.

3. Parameter Description
Name Enter a name for the configuration to
reference it.
Access Key Alphanumeric text string that
uniquely identifies the user who
owns the account.
Secret Key Key that plays the role of a
password.

4. • Amazon Simple Storage Service (Amazon S3) is storage for the
Internet. You can use Amazon S3 to store and retrieve any
amount of data at any time, from anywhere on the web. You
can accomplish these tasks using the simple and intuitive web
interface of the AWS Management Console.
• The AWS SDK for Java provides a Java API for AWS
infrastructure services. The Amazon S3 connector is built using
the SDK for Java

5. About Amazon S3
• Amazon S3 offers a range of storage classes designed for
different use cases including Amazon S3 Standard for
general-purpose storage of frequently accessed data,
Amazon S3 Standard - Infrequent Access (Standard - IA)
for long-lived, but less frequently accessed data, and
Amazon Glacier for long-term archive. Amazon S3 also
offers configurable lifecycle policies for managing your
data throughout its lifecycle. Once a policy is set, your
data will automatically migrate to the most appropriate
storage class without any changes to your applications

6. Create a new mule project
Demo_amazoneS3

7. Drag Http component and S3 from
palette

8. Configuration of S3 to create
bucket name in S3

9. Create a global element for
amazon S3 like below

10. Bucket created successfully

11. Run as mule application
• By using the below url hit
• http://localhost:8081/s3
• We can get the following output:
• Bucket created successfully----------object

12. Using the Connector
(operations)
• Abort Multipart Upload
• Complete Multipart Upload
• Copy Object
• Create Bucket
• Create Object
• Create Object Presigned URI
• Delete Bucket
• Delete Bucket Cross Origin Configuration
• Delete Bucket Lifecycle Configuration
• Delete Bucket Policy
• Delete Bucket Tagging Configuration
• Delete Bucket Website Configuration
• Delete Object
• Delete Objects
• Get Bucket ACL
• Get Bucket Cross Origin Configuration
• Get Bucket Lifecycle Configuration
• Get Bucket Location
• Get Bucket Logging Configuration
• Get Bucket Notification Configuration

13. • Get Bucket Policy
• Get Bucket Tagging Configuration
• Get Bucket Versioning Configuration
• Get Bucket Website Configuration
• Get Object
• Get Object ACL
• Get Object Content
• Get Object Metadata
• Initiate Multipart Upload
• List Buckets
• List Multipart Uploads
• List Next Batch of Objects
• List Next Batch of Versions
• List Objects

14. • List Parts
• List Versions
• Set Bucket ACL
• Set Bucket Cross Origin Configuration
• Set Bucket Lifecycle Configuration
• Set Bucket Logging Configuration
• Set Bucket Notification Configuration
• Set Bucket Policy
• Set Bucket tagging Configuration
• Set Bucket Versioning Configuration
• Set Bucket Website Configuration
• Set Object ACL
• Set Object Storage Class
• Upload Part
• Upload Part Copy