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  1. 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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  2. docs/metrics/prometheus/alerts.md

    1. Start a distributed MinIO instance (4 nodes setup)
    2. Start Prometheus server and AlertManager
    3. Bring down couple of MinIO instances to bring down the Erasure Set tolerance to -1 and verify the same with `mc admin prometheus metrics ALIAS | grep minio_cluster_health_erasure_set_status`
    4. Wait for 5 mins (as alert is configured to be firing after 5 mins), and verify that you see an entry in webhook for the alert as well as in Prometheus console as shown below
    
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  3. 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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  4. 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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  5. docs/metrics/prometheus/grafana/README.md

    ![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/grafana-replication-node.png)
    
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  6. architecture/standards/0002-avoid-using-java-serialization.md

    - **Version Compatibility:**
    With Java serialization, even minor changes to a class (like adding a field) can break compatibility.
    
    - **Cross-Language Compatibility:**
    Java serialization is inherently Java-centric and does not support cross-language scenarios well.
    
    - **Type Safety:**
    Java serialization does not enforce type safety as strictly as some alternatives, potentially leading to runtime errors.
    
    ## Decision
    
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