Feature/splunk observability scaler #6192
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… in hindsight Signed-off-by: Sebastian Schimper <sschimper@splunk.com>
Signed-off-by: Sebastian Schimper <sschimper@splunk.com>
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tests/scalers/splunk_observability_test/splunk_observability_test.go
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Signed-off-by: Sebastian Schimper <sschimper@splunk.com>
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The only files we should be changing under |
| name: splunk-secrets | ||
| namespace: {{.TestNamespace}} | ||
| data: | ||
| accessToken: YW1JeUpqVHRJd185cDhOWG01X21KQQ== # one time through-away access token used just for testing |
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It seems this test relies on an actual upstream being available to communicate with. Would it be possible to create a pod here that simply mocks responses? We could override the endpoint in the scaler config and point it to our mocked API. This would ensure the tests could still run in a more closed loop fashion without any upstream dependencies. Thoughts?
| kedautil "github.com/kedacore/keda/v2/pkg/util" | ||
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| type splunkObservabilityMetadata struct { |
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Should we support a parameter to override an endpoint in case that changes in the future?
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Note to self: TODO base url overwriting
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do we expect the endpoint to be changed? if so we can add the parameter.
tests/scalers/splunk_observability_test/splunk_observability_test.go
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We should probably set this PR to WIP/Draft state |
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| // Code generated by protoc-gen-go. DO NOT EDIT. | |||
| // versions: | |||
| // protoc-gen-go v1.34.2 | |||
| // protoc v5.27.3 | |||
| // protoc v4.25.2 | |||
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please don't include these changes in the pb files, not related
| kedautil "github.com/kedacore/keda/v2/pkg/util" | ||
| ) | ||
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| type splunkObservabilityMetadata struct { |
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do we expect the endpoint to be changed? if so we can add the parameter.
| name: splunk-secrets | ||
| namespace: {{.TestNamespace}} | ||
| data: | ||
| accessToken: YW1JeUpqVHRJd185cDhOWG01X21KQQ== # one time through-away access token used just for testing |
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Thank you for reviewing, @zroubalik. I will work during the next days on fixing the things pointed out. |
With this pull request, I would like to add a new custom KEDA scaler that interacts with the Splunk Observability Cloud Platform. It is able to query metrics from Splunk Observability Cloud and scale a deployment according to a predefined target value.
As for now, I do not have the created a pull request to update the Helm chart, becasue I did not think it necessary. However, my knowledge about Helm charts is admittedly limited, and I am happy to fix this in hindsight if that is necessary.
Thank you.
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