AWS Client Stack Deployment

AWS Client Stack Deployment

Note: The information on this page applies to Content Mover and Business Continuity.

CAM AWS Stack utilizes Amazon AWS services and resources to provide the ability to move documents and content and sync metadata between multiple Document Management Systems (DMS). CAM Content Mover and Data Sync (Content Sync) use S3 storage blobs as an intermediary place while moving content between the supported Document Management Systems.

To deploy the CAM AWS Stack, you need to deploy the AWS template into your environment. The template deploys a complete solution that contains multiple resources such as function apps, MySQL instances, Blob Storages, and others. These resources are provided and hosted by AWS in your AWS account to provide more control over moving content.

AWS Stack Creation

Stack Updates

Upgrades to the stack consist of these steps:

AWS at Client Security Configuration and Validation

Configure Content Mover (ETL) within CAM

Click here for details how to proceed updating the Content Mover sync in CAM using the new stack.

Updating the Stack MySQL

CAM’s AWS RDS is being upgraded to 8.4 for the MySQL db. AWS has provided this documentation to follow from your AWS portal for CAM.

  1. No stack upgrade is necessary first here.

  2. Amazon supports one of the following scenarios for the upgrade:

    1. MySQL 5.7 to MySQL 8.0

    2. MySQL 8.0 to MySQL 8.4

  3. MySQL major version upgrades typically complete in about 10 minutes. Some upgrades might take longer because of the DB instance class size or because the instance doesn't follow certain operational guidelines in Best practices for Amazon RDS. If you upgrade a DB instance from the Amazon RDS console, the status of the DB instance indicates when the upgrade is complete.

  4. Note: If a failure occurs, AWS states the upgrade is automatically rolled back to the prior version by AWS. When an upgrade fails and is rolled back, Amazon RDS generates an event with the event ID RDS-EVENT-0188

  5. First run through the prechecks AWS gives based on your MySQL version :

    1. Prechecks for upgrades from MySQL 8.0 to 8.4

    2. Prechecks for upgrades from MySQL 5.7 to 8.0

  6. If you choose to test the upgrade, you can make a snapshot and follow the AWS steps to upgrade a snapshot: Upgrading a MySQL DB snapshot engine version - Amazon Relational Database Service

  7. Log in to the AWS Management Console

    Go to the AWS Management Console and log in using your AWS account. Once logged in, type “RDS” in the service search bar and select Amazon RDS from the list.

  8. Select the MySQL Instance to Update

    In the Amazon RDS console, you’ll see a list of existing database instances. Choose the MySQL instance that you want to upgrade.

  9. Choose to Change Engine Version

    Go back to the instance details page:
    Click on Modify.
    Find the DB Engine Version section.

  10. Select the Desired MySQL 8.x Version

    In the DB Engine Version section, choose the appropriate MySQL 8.x version from the list of available versions.

  11. Check Other Settings if Needed

    Check other settings such as Multi-AZ Deployment, Storage, and Backup to ensure they are still appropriate after the upgrade.
    Select Continue to proceed with the changes.

  12. Apply Changes

    Scroll to the bottom of the page, and you’ll see the Scheduling of Modifications option:

    • Apply Immediately: Apply changes immediately (may cause service interruption).

    • Apply During the Next Maintenance Window: Apply changes during the next maintenance window (less disruptive).

    The image shows Apply Immediately selected to implement the changes immediately.
    Select Modify DB instance.

Download A Document with Business Continuity

  1. Login as the BC user.

  2. Go to Documents tab.

  3. Search for a document.

Note: Database Search needs to be enabled to download from Business Continuity.

4. Open the resulting document. Click the download icon in the details.

Note: There is only the option to download 1 document at a time.

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