Improved
Version 6.1.1
- Added replica count to Helm charts.
- Added node affinities for architectures to helm charts
- Added the ability to browse attached cluster storages
- Fixed a bug with Kafka consumer configuration
Improved
Version 6.0.0
- UI v3
- Embedded Jupyter Notebook
- Embedded Airflow
- Encapsulate the spark-submit processes within separate kubernetes pod
- Tons of small improvements
Improved
Version 5.2.0
- Python spark jobs support
- Airflow integration
- Ilum python package available in pypi
- Ilum helm package available in artifacthub
- Spark update to 3.4.1
Improved
Version 5.1.0
- Now featuring an accessible Spark UI link for actively running jobs, offering seamless monitoring and management.
- Fully compatible with Ilum REST API v1.1, enabling advanced functionality.
- Streamlined license attachment during Helm installation, eliminating the need for manual intervention.
- Enhanced data filtering capabilities with the ability to list all existing spark cluster names.
- Added a robust health check endpoint for the Ilum service, ensuring system stability and reliability.
- Refined user interface with subtle yet impactful improvements, elevating the overall user experience.
Improved
Version 5.0.2
- Enhanced user interface with subtle refinements for an improved user experience.
- Extended ilum-job-api to maintain seamless backward compatibility with Java 8, ensuring support for legacy systems.
Improved
Version 5.0.1
- Introduced versatile, multi-platform Docker images for ilum-core, expanding compatibility and usability across various systems.
- Revitalized Bitnami Helm repository with essential updates to dependencies, ensuring seamless access and functionality.
- Implemented subtle user interface enhancements for a more polished and user-friendly experience.
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