Comments (5)
zak-hassan
commented on May 31, 2024
Everything required for training can be a separate pod and everything required for inference could be a separate pod.
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vpavlin
commented on May 31, 2024
Yeah, that makes sense. From the implementation point of view, I would suggest to extend
https://github.com/AICoE/log-anomaly-detector/blob/master/anomaly_detector/model/base_model.py#L30
and store to S3 automatically if configuration (S3 endpoint, secret key, key id and bucket/path) is provided
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zak-hassan
commented on May 31, 2024
Thanks. Yes good idea.
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zak-hassan
commented on May 31, 2024
We have already included code to store into s3 in the mean time currently we have ceph s3 pvc's already setup.
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zak-hassan
commented on May 31, 2024
This is done we can close this.
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Related Issues (20)
- Make sure we have tox build our docs to ensure nothing is broken along with our tests. HOT 4
- Add Coveralls badge to repo to show test coverage. HOT 7
- Research if its possible to publish pypi package on Anaconda? HOT 4
- Add pytest markers to separate which tests are for which component so we don't have to run the full test suite HOT 6
- Don't forget to put a zuul gated badge in the readme HOT 5
- No index in elasticsearch index causes app to crash. HOT 4
- Run LAD in container on a directory of logfiles HOT 4
- use Thoth's S2I HOT 4
- testing
- test2
- ValueError: Unsupported storage provider used local.source.source HOT 3
- ui command error: OSError: [Errno 98] Address already in use HOT 10
- bug in inference HOT 4
- AttributeError: module 'distutils' has no attribute 'util' HOT 5
- syntax error while running app.py HOT 5
- Application cannot be managed by Kebechet due to Git package HOT 4
- More documentation and examples for onboarding HOT 6
- Event correlation request HOT 3
- Regarding Inference HOT 5
- can I run this on local files HOT 6
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