context string | question string | answers.text string | answers.answer_start int64 |
|---|---|---|---|
# etcdGRPCRequestsSlow
## Meaning
This alert fires when the 99th percentile of etcd gRPC requests are too slow.
## Impact
When requests are too slow, they can lead to various scenarios like leader
election failure, slow reads and writes and general cluster instability.
## Diagnosis
This could be result of slow di... | How to troubleshoot etcdGRPCRequestsSlow alerts ? | histogram_quantile(0.99, sum by (instance, le) (irate(etcd_network_peer_round_trip_time_seconds_bucket{job="etcd"}[5m]))) | 1 |
Dataset Card for Dataset Name
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Dataset Details
Dataset Description
The alert ClusterOperatorDown is triggered by [cluster-version-operator]
(CVO) when a ClusterOperator is not in the Available state for a certain
period of time. An operand is Available when it is functional in the cluster.
- Curated by: [More Information Needed]
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- Language(s) (NLP): [More Information Needed]
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Dataset Sources [optional]
- Repository: https://github.com/openshift/cluster-version-operator
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
This alert indicates that an outage has occurred in your cluster. Investigate the issue as soon as possible.
Direct Use
The alert message provides the name of the Operator that triggered the alert, as shown in the following example:
- alertname = ClusterOperatorDown
...
- name = console
...
[More Information Needed]
Out-of-Scope Use
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Dataset Structure
Review the status of all Operators to discover if multiple Operators are down:
$ oc get clusteroperatorReview information about the current status of the Operator:
$ oc get clusteroperator $CLUSTEROPERATOR -ojson | jq .status.conditionsReview the associated resources for the Operator:
$ oc get clusteroperator $CLUSTEROPERATOR -ojson | jq .status.relatedObjects
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Dataset Creation
Curation Rationale
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Source Data
Data Collection and Processing
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Who are the source data producers?
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Annotations [optional]
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Bias, Risks, and Limitations
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Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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