Elyra Files

Quick links

• Complete changelog
• Release documentation
• Installation documentation
• Getting help

New feature highlights

Pipeline editor: enable specific runtimes

Elyra installations are pre-configured by default to support pipeline execution in local environments (via JupyterLab) and remote environments (Kubeflow Pipelines and Apache Airflow). Beginning with this release you can customize Elyra to only expose runtimes you are planning to use.

Refer to the new Configuring the pipeline editor user guide topic for details.

Kubeflow Pipelines pipeline editor: support for token authentication

Kubeflow Pipelines runtime configurations now support authentication using static bearer tokens. To leverage this authentication mechanism, select EXISTING_BEARER_TOKEN and specify the token value. Elyra passes the specified token as-is to Kubeflow Pipelines.

What's Changed

New Features

• Filter available runtimes based on configuration setting by @kevin-bates in https://github.com/elyra-ai/elyra/pull/3114
• Add support for static bearer token authentication for KFP by @ptitzler in https://github.com/elyra-ai/elyra/pull/3124

Bug Fixes

• Fix test artifact output location bugs by @ptitzler in https://github.com/elyra-ai/elyra/pull/3117
• Hide binder links and references by @ptitzler in https://github.com/elyra-ai/elyra/pull/3119
• Determine which kernel to use prior to notebook execution by @ptitzler in https://github.com/elyra-ai/elyra/pull/3135

Other

• Require Node.js version 18 (or later) in preparation for version 16 EOL by @ptitzler in https://github.com/elyra-ai/elyra/pull/3118
• Update community resources by @ptitzler in https://github.com/elyra-ai/elyra/pull/3123
• Lower floor for kfp-tekton dependency by @ptitzler in https://github.com/elyra-ai/elyra/pull/3125

Full Changelog: https://github.com/elyra-ai/elyra/compare/v3.14.3...v3.15.0