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  1. docs/multi-user/README.md

    - `aws:PrincipalType` - This value indicates whether the principal is an account (Root credential), user (MinIO user), or assumed role (STS)
    - `aws:SecureTransport` - This is a Boolean value that represents whether the request was sent over TLS.
    - `aws:SourceIp` - This is the requester's IP address, for use with IP address conditions. If running behind Nginx like proxies, MinIO preserve's the source IP.
    
    ```
    {
      "Version": "2012-10-17",
      "Statement": {
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  2. docs/security/README.md

    #### Cryptographic Primitives
    
    The SSE schemes described in [Secret Keys](#Secret-Keys) and [Content Encryption](#Content-Encryption) are generic over the cryptographic primitives. However, the MinIO server uses the following cryptographic primitive implementations:
    
    - [PRF](#prf): HMAC-SHA-256
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  3. docs/bucket/versioning/README.md

    is done at the bucket level.
    
    Only MinIO generates version IDs, and they can't be edited. Version IDs are simply of `DCE 1.1 v4 UUID 4` (random data based), UUIDs are 128 bit numbers which are intended to have a high likelihood of uniqueness over space and time and are computationally difficult to guess. They are globally unique identifiers which can be locally generated without contacting a global registration authority. UUIDs are intended as unique identifiers for both mass tagging objects...
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  4. docs/bucket/notifications/README.md

    ```
    
    MinIO supports any MQTT server that supports MQTT 3.1 or 3.1.1 and can connect to them over TCP, TLS, or a Websocket connection using `tcp://`, `tls://`, or `ws://` respectively as the scheme for the broker url. See the [Go Client](http://www.eclipse.org/paho/clients/golang/) documentation for more information.
    
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  5. docs/metrics/README.md

    # MinIO Monitoring Guide
    
    MinIO server exposes monitoring data over endpoints. Monitoring tools can pick the data from these endpoints. This document lists the monitoring endpoints and relevant documentation.
    
    ## Healthcheck Probe
    
    MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.
    
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  6. operator/README.md

    charts unmodified (but validated through a
    [schema](pkg/apis/istio/v1alpha1/values_types.proto)). Values.yaml settings
    are overridden the same way as the new API, though a customized CR overlaid over default values for the selected
    profile. Here's an example of overriding some global level default values ([samples/values-global.yaml](samples/values-global.yaml)):
    
    ```yaml
    apiVersion: install.istio.io/v1alpha1
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  7. README.md

    and aggregate telemetry data. Istio's control plane provides an abstraction
    layer over the underlying cluster management platform, such as Kubernetes.
    
    Istio is composed of these components:
    
    - **Envoy** - Sidecar proxies per microservice to handle ingress/egress traffic
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  8. docs/bucket/retention/README.md

    ```
    
    ### Set object lock
    
    PutObject API allows setting per object retention mode and retention duration using `x-amz-object-lock-mode` and `x-amz-object-lock-retain-until-date` headers. This takes precedence over any bucket object lock configuration w.r.t retention.
    
    ```sh
    aws s3api put-object --bucket testbucket --key lockme --object-lock-mode GOVERNANCE --object-lock-retain-until-date "2019-11-20"  --body /etc/issue
    ```
    
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  9. manifests/charts/gateway/README.md

    following the guidance below.
    If you are able to, a clean installation is simpler. However, this often requires an external IP migration which can be challenging.
    
    WARNING: when installing over an existing deployment, the two deployments will be merged together by Helm, which may lead to unexpected results.
    
    #### Legacy Gateway Helm charts
    
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  10. docs/metrics/prometheus/README.md

    [Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 
    
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