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  1. 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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  2. helm/minio/README.md

    ```bash
    helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio
    ```
    
    Description of the configuration parameters used above -
    
    - `buckets[].name` - name of the bucket to create, must be a string with length > 0
    - `buckets[].policy` - can be one of none|download|upload|public
    - `buckets[].purge` - purge if bucket exists already
    
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  3. cni/README.md

    # Istio CNI Node Agent
    
    The Istio CNI Node Agent is responsible for several things
    
    - Install an Istio CNI plugin binary on each node's filesystem, updating that node's CNI config in e.g (`/etc/cni/net.d`), and watching the config and binary paths to reinstall if things are modified.
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  4. internal/grid/README.md

    ```
    
    If the error type is `*RemoteErr`, then the error was returned by the remote server. Otherwise it is a local error.
    
    Context timeouts are propagated, and a default timeout of 1 minute is added if none is specified.
    
    There is no cancellation propagation for single payload requests.
    When the context is canceled, the request will return at once with an appropriate error. 
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  5. docs/bucket/notifications/README.md

    npm install
    ```
    
    Then open the Thumbnailer config file at `config/webhook.json` and add the configuration for your MinIO server and then start Thumbnailer by
    
    ```
    NODE_ENV=webhook node thumbnail-webhook.js
    ```
    
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  6. README.md

    **Raspberry Pi 2 and 3**      | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html)           | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv7l.whl)
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  7. 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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  8. manifests/charts/gateway/README.md

    installation was done like:
    
    ```console
    helm install istio-ingress manifests/charts/gateways/istio-ingress -n istio-system
    ```
    
    It could be upgraded with
    
    ```console
    helm upgrade istio-ingress manifests/charts/gateway -n istio-system --set name=istio-ingressgateway --set labels.app=istio-ingressgateway --set labels.istio=ingressgateway
    ```
    
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  9. docs/config/README.md

    sufficient to heal the content after drive replacements. Setting `max_sleep` to a *lower* value and setting `max_io` to a *higher* value would make heal go faster.
    
    Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers...
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  10. docs/metrics/README.md

    MinIO allows reading metrics for the entire cluster from any single node. This allows for metrics collection for a MinIO instance across all servers. Thus, metrics collection for instances behind a load balancer can be done without any knowledge of the individual node addresses. The cluster wide metrics can be read at
    `<Address for MinIO Service>/minio/v2/metrics/cluster`.
    
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