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What's New in MarkLogic 11

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Amazon Linux 2023 Support

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  • Last Updated: April 14, 2026
  • 2 minute read
    • MarkLogic Server
    • Version 11.0
    • Documentation

As of MarkLogic 11.3.1, Amazon Linux 2023 (AL2023) is a supported operating system. A new MarkLogic AMI based on AL2023 is now available on the AWS Marketplace, and the MarkLogic CloudFormation template has been updated to allow selection of either Amazon Linux 2 or Amazon Linux 2023 as the operating system. See MarkLogic on Amazon Web Services for addition details.

Since Amazon has declared the end of support for Amazon Linux 2 (AL2), we recommend that you move to Amazon Linux 2023 as soon as possible.

No GPU Support

As with MarkLogic on RHEL 9, MarkLogic 11.3.1 (and up) on AL2023 does not support GPUs. Therefore, any use of the embedded ONNX libraries will be executed using the host’s CPU. Support for GPUs on AL2023 is being investigated for a future release of MarkLogic Server.

Pre-installed Software

The MarkLogic Server Amazon Linux 2023 AMI has the following software pre-installed:

  1. MarkLogic 11.3
  2. Java 11 through Amazon Corretto
  3. Linux Cron
  4. Python
  5. AWS CLI
  6. Rsyslog

Upgrade Considerations

To ensure a smooth transition from Amazon Linux 2 to Amazon Linux 2023, consider these factors:

  1. RSA (ssh-rsa) keys are no longer supported on AL2023 by default. Clients must support the ssh-ed25519 or the ecdsa-sha2-nistp256 host key algorithm. See SSH server default configuration changes.

  2. As part of the migration from init.d to system.d, network interface names are renamed accordingly. See Predictable Network Interface Names.

  3. The MarkLogic CloudFormation template will support AL2 and AL2023 in the same template for a period of time. There is a new parameter in the template that allows selection of the operating system.

  4. The MarkLogic CloudFormation template will continue to reference GPU-enabled instances to maintain compatibility with AL2. If a GPU instance is selected along with AL2023, MarkLogic Server will not leverage the available GPU device when using the embeded ONNX libraries.

Refer to Comparing AL2 and AL2023 for more information on the key differences between AL2 and AL2023.

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