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  2. github.com/minio/minio

    docs/metrics/prometheus/grafana/README.md 

    ![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/grafana-replication-node.png)
    Plain Text
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  3. github.com/minio/minio

    docs/metrics/prometheus/README.md 

    - MinIO exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.
- MinIO exports Prometheus compatible data by default which is resource centric as an authorized endpoint at `/minio/v2/metrics/resource`.
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  4. github.com/minio/minio

    docs/metrics/README.md 

    The additional node specific metrics which include additional go metrics or process metrics are exposed at
`<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
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    - Last Modified: Thu Feb 29 18:35:20 GMT 2024
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  5. github.com/minio/minio

    docs/bucket/replication/README.md 

    On the target bucket, `s3:PutObject` event shows `X-Amz-Replication-Status` status of `REPLICA` in the metadata. Additional metrics to monitor backlog state for the purpose of bandwidth management and resource allocation are exposed via Prometheus - see <https://github.com/minio/minio/blob/master/docs/metrics/prometheus/list.md> for more details.

### Sync/Async Replication
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  6. github.com/minio/minio

    docs/config/README.md 

    ```
~ mc admin config set alias/ scanner
KEY:
scanner  manage namespace scanning for usage calculation, lifecycle, healing and more

ARGS:
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  7. github.com/tensorflow/tensorflow

    ci/official/README.md 

    -   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)
    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions
-   Linux, MacOS, and Windows machines (these pool definitions are internal)
-   x86 and arm64
-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
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