Control-M for Amazon RDS

Amazon Relational Database Service (RDS) enables you to automate relational database management tasks, such as provisioning, configuration, and back up.

Control-M for Amazon RDS enables you to do the following:

• Start or stop a database instance or cluster.

• Restore or export data from a database instance or cluster.

• Manage Amazon RDS credentials in a secure connection profile.

• Connect to any Amazon RDS endpoint.

• Introduce all Control-M capabilities to Control-M for Amazon RDS, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

• Integrate Amazon RDS jobs with other Control-M jobs into a single scheduling environment.

• Monitor the status, results, and output of Amazon RDS jobs.

• Attach an SLA job to the Amazon RDS jobs.

Setting up Control-M for Amazon RDS

This procedure describes how to deploy the Amazon RDS plug-in, create a connection profile, and define a Amazon RDS job in Control-M SaaS and Automation API.

Before You Begin

• Verify that Java is installed, as described in Control-M External Java Installation.

• Verify that Automation API is installed, as described in Setting Up the API.

• Verify that Agent version 9.0.21.080 or higher is installed.

Begin

1. Run one of the following provision image commands:

   • Linux: ctm provision image AWS_RDS_plugin.Linux

   • Windows: ctm provision image AWS_RDS_plugin.Windows

2. Create a Amazon RDS connection profile in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Centralized Connection Profile with Data Integration Connection Profiles

   • Automation API: ConnectionProfile:AWS RDS

3. Define a Amazon RDS job in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Job with Amazon RDS Job parameters

   • Automation API: Job:AWS RDS

Change Log

The following table describes changes that were introduced in new versions of this plug-in.

Plug-in Version	Details
1.0.00	Initial version