MuleSoft provides an integration platform that connects applications and APIs across cloud and on-premise systems. The MuleSoft platform includes a connector for Amazon S3 that allows developers to access and store object data in S3 buckets from within their Mule applications. With the Amazon S3 connector, users can integrate S3 storage with other AWS services and build applications that leverage internet storage capabilities.

2.  MuleSoft provides the most widely used integration
platform to connect any application, data service or API,
across the cloud and on-premise continuum. Amazon S3
is cloud-based data-storage infrastructure that is
accessible to the user which is programmable via a
MuleSoft Amazon S3 connector. The Amazon S3 Mule
connector allows developers to access any amount of data,
at any time, from anywhere on the web. With connectivity
to the Amazon S3 API, users can interface Amazon S3 to
store objects, download and use data with other AWS
services, and build applications that call for internet
storage – all from within MuleSoft Anypoint Platform.
 Instant access to the Amazon S3 API enables businesses to
create seamless integrations between Amazon S3 and
other databases, CMS applications such as Drupal, and
CRM applications such as Salesforce.

4.  Amazon Account
 Amazon Access and Secret keys
 Mule Anypoint Amazon Connector

5.  Creating Amazon S3 Bucket
 Before integrating S3, a S3 bucket has to be
created. Every object in Amazon S3 is stored in
this bucket. Following are the steps to create a
bucket:
 Enter a bucket name in the ‘Bucket Name’ field
 Select the region
 If we need to set up-logging, then click on ‘Set
Up Logging’, Else, go to ‘Create‘ and create the
bucket
 When Amazon S3 successfully creates the bucket,
console will display the properties of the empty
bucket

7.  Access key and secret key can be retrieved
from the Amazon account page

8.  Configure Mule Anypoint Amazon S3 connector with the following settings –
 – Configuration:(S3 connector configured using the config element) This element
must be placed out of flow and at the root of the Mule application. We can create
as many configurations deemed necessary as long as each carries its own name.
 – Connection Pool: S3 connector offers automatic connection management via the
use of a connection pool. This pool will act a storage mechanism for all the
connections that are in-use by the user of this connector.
 Prior to execution of a processor, the connector will attempt to lookup an already
established aConfigure Mule Anypoint Amazon S3 connector with the following
settings –
 – Configuration:(S3 connector configured using the config element) This element
must be placed out of flow and at the root of the Mule application. We can create
as many configurations deemed necessary as long as each carries its own name.
 – Connection Pool: S3 connector offers automatic connection management via the
use of a connection pool. This pool will act a storage mechanism for all the
connections that are in-use by the user of this connector.
 Prior to execution of a processor, the connector will attempt to lookup an already
established

9.  – Reconnection Strategy: Reconnection Strategies
specify on how a connector behaves when the
connection fails. We can control the attempts by Mule
to reconnect using several criteria
 Type of exception
 Number and frequency of reconnection attempts
 Notifications generated
 With a reconnection strategy, the behaviour of a
failed connection can be controlled in a much better
way by configuring it, for example, to re-attempt the
connection only once every 15 minutes, and to give
up after 30 attempts. An automatic notification can
be sent to the IT administrator whenever this
reconnection strategy goes into effect. A strategy can
also be defined which attempts to reconnect only
during business hours. Such a setting can prove
useful if the server is frequently shut down for
maintenance.

11.  The below Mule application is used to read the object (.jpeg image) from HTTP outbound component using the
absolute URL and upload the same object under Amazon S3 bucket using Mule Anypoint Amazon S3 connector.
 Steps to be followed for integrating ‘Amazon S3’ with MuleSoft Applications:
 Install the Amazon S3 Connector in Anypoint Studio (3.5 and
above)http://repository.mulesoft.org/connectors/releases/3.5
 Create a new Anypoint Studio Project and Flow
 Before using the Amazon S3 Connector in the Mule Flows, create a global element for Amazon S3 configuration
which can be reused in all other flows across the Mule project – wherever the objects are created & deleted to &
from Amazon S3 cloud server.
 Configure the Amazon S3 connector by providing the following information for the global element
◦ Access Key
◦ Secret Key
 Use HTTP outbound endpoint to pass the object location to get the object and upload to the Amazon S3 storage
server
 Configure the Amazon S3 endpoint by providing the following to create the object under Amazon S3 bucket
◦ Link to the ‘global Connector Configuration’
◦ Operation
◦ Bucket Name
 ACL (Access level)
 Run the Mule Application and trigger the URL (using browser)
 http://localhost:8081/createObject
 Check the Amazon S3 bucket, the object (.jpeg object) will be created under the bucket.

15.  No point-to-point integration required
 Seamless integration running in the background
 Quick data synchronisation between Amazon S3 with an on-
premise and cloud based application
 Facilitate applications with Amazon S3 capacities for large
volume data storage
 Stores application data and can be rolled back during disaster
recovery
 Bi-directional data communication between applications and
Amazon S3
 Highly scalable, it secures a solution for backing up and
archiving the critical data
 Send event notifications when objects are uploaded to Amazon
S3
 Access any amount of data, any time and from anywhere on the
web.