We’re pleased to share that new stable releases for Charmed Spark are under its way for the 3.4 and 3.5 channels, and we now have a candidate release that you can try out and test.
This release brings a new update on our solution for bringing enhanced multi-tenant support and simplified SQL interface for big data analytics, providing bug-fixes, security patches and - most notably - a number of notable new features, among which GPU support, ARM support (experimental), components upgrade and validation on Canonical K8s and MicroCeph.
See our draft release notes for further information. Please note that they are still subject to change ahead of the stable release.
As always, we invite data scientists, ML engineers, and developers to explore the new candidate release and share valuable feedback with us!
Let’s build it together!
This candidate release gives you early access to our processing solution, along with an opportunity to influence the future of Charmed Spark. Your feedback is crucial to improving our products:
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Follow our step-by-step tutorial to test the new release
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Reach out in Matrix with your questions about Charmed Spark’s capabilities
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Report any bugs or issues you encounter
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Provide suggestions for improving our products
Please note: This candidate release is not intended for production use and may involve risks. We encourage you to save your work regularly and proceed with caution. Canonical’s Processing team is always ready to assist you with any feedback or issues you might have.
We will allow a few weeks for testing and validation before promoting this release to stable. During this period, artifacts may still change and receive updates.