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docs/metrics/prometheus/grafana/README.md
Node metrics can be viewed in the Grafana dashboard using [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/minio-node.json) ![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)
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cni/README.md
## Privileges required
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docs/metrics/prometheus/README.md
``` ##### Node (optional) Optionally you can also collect per node metrics. This needs to be done on a per server instance. The scrape configurations should use all the servers under `targets` so that graphing systems like grafana can visualize them for all the nodes ```yaml scrape_configs: - job_name: minio-job metrics_path: /minio/v2/metrics/node scheme: http static_configs:
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docs/metrics/README.md
`<Address for MinIO Node>/minio/v2/metrics/node`. The additional bucket specific metrics which include additional go metrics or process metrics are exposed at `<Address for MinIO Node>/minio/v2/metrics/bucket`. The additional resource specific metrics which include additional go metrics or process metrics are exposed at `<Address for MinIO Node>/minio/v2/metrics/resource`.
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helm/minio/README.md
```bash helm install --set persistence.enabled=false minio/minio ``` > *"An emptyDir volume is first created when a Pod is assigned to a Node, and exists as long as that Pod is running on that node. When a Pod is removed from a node for any reason, the data in the emptyDir is deleted forever."* ### Existing PersistentVolumeClaim If a Persistent Volume Claim already exists, specify it during installation.
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docs/docker/README.md
```sh docker stats <container_id> ``` ## Explore Further * [Distributed MinIO Quickstart Guide](https://min.io/docs/minio/container/operations/install-deploy-manage/deploy-minio-single-node-multi-drive.html)
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manifests/charts/istio-cni/README.md
helm install istio-cni istio/cni -n kube-system ``` Installation in `kube-system` is recommended to ensure the [`system-node-critical`](https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/) `priorityClassName` can be used. You can install in other namespace only on K8S clusters that allow 'system-node-critical' outside of kube-system. ## Configuration To view support configuration options and documentation, run:
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docs/bigdata/README.md
- Login as user **‘spark’**. - When the job runs, the library can now use **MinIO** during intermediate processing. - Navigate to a node with the Spark client and access the spark2-client directory: ``` cd /usr/hdp/current/spark2-client su spark ``` - Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**: ``` ./bin/spark-submit --class org.apache.spark.examples.SparkPi \
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operator/README.md
- [node selector](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector) - [toleration](https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/) - [affinity and anti-affinity](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity)
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docs/erasure/README.md
# MinIO Erasure Code Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) MinIO protects data against hardware failures and silent data corruption using erasure code and checksums. With the highest level of redundancy, you may lose up to half (N/2) of the total drives and still be able to recover the data. ## What is Erasure Code?
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