evicts pods from nodes in preparation for disruptive operations like kernel
upgrades or maintenance.
     * Custom Metrics for Autoscaling (HorizontalPodAutoscaler API in the Autoscaling
API group): The Horizontal Pod Autoscaling feature now supports custom metrics
(Alpha), allowing you to specify application-level metrics and thresholds to
trigger scaling up and down the number of pods in your application.

* The IP address and port for kube-proxy metrics server is now configurable via flag `--metrics-bind-address` ([#48625](https://github.com/kubernetes/kubernetes/pull/48625), [@mrhohn](https://github.com/mrhohn))
  * Special notice for kube-proxy in 1.7+ (including 1.7.0):
    * Healthz server (/healthz) will be served on 0.0.0.0:10256 by default.
    * Metrics server (/metrics and /proxyMode) will be served on 127.0.0.1:10249 by default.

* The Metrics Server now exposes metrics via the /metric endpoint. These metrics are in the prometheus format.  ([#57456](https://github.com/kubernetes/kubernetes/pull/57456), [@kawych](https://github.com/kawych))

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing crawler statistics and performance metrics.
 * This class provides functionality to track, record, and report statistics
 * about crawler operations including timing data, performance metrics, and
 * operational events. It uses an internal cache to maintain statistics
 * objects and provides methods to begin tracking, record events, and

* Migrate the metrics/v1alpha1 API to metrics/v1beta1.  The HorizontalPodAutoscaler ([#51653](https://github.com/kubernetes/kubernetes/pull/51653), [@DirectXMan12](https://github.com/DirectXMan12))
    * controller REST client now uses that version.  For v1beta1, the API is now known as
    * resource-metrics.metrics.k8s.io.

    private final NetworkInterfaceInfo remoteInterface;
    private volatile ChannelState state;
    private final long establishedTime;
    private volatile long lastActivityTime;

    // Performance metrics
    private final AtomicLong bytesSent;
    private final AtomicLong bytesReceived;
    private final AtomicLong requestsSent;
    private final AtomicLong requestsReceived;
    private final AtomicLong errors;

            {{- if .Values.extraSecret }}
            - name: MINIO_CONFIG_ENV_FILE
              value: "/tmp/minio-config-env/config.env"
            {{- end }}
            {{- if .Values.metrics.serviceMonitor.public }}
            - name: MINIO_PROMETHEUS_AUTH_TYPE
              value: "public"
            {{- end }}
            {{- if .Values.oidc.enabled }}
            - name: MINIO_IDENTITY_OPENID_CONFIG_URL

    * Scale up forbidden window was protecting HPA against making decision to scale up based on metrics gathered during pod initialisation (which may be invalid, for example pod may be using a lot of CPU despite not doing any "actual" work).
    * To avoid that negative effect only use per pod metrics from pods that are:
    * - ready (so metrics about them should be valid), or

	BackendInfo() madmin.BackendInfo
	Legacy() bool // Only returns true for deployments which use CRCMOD as its object distribution algorithm.
	StorageInfo(ctx context.Context, metrics bool) StorageInfo
	LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo

	// Bucket operations.
	MakeBucket(ctx context.Context, bucket string, opts MakeBucketOptions) error

has been deprecated as part of the deprecation of Heapster. Instead, you may use the [metrics server](https://github.com/kubernetes-incubator/metrics-server). It's a simplified heapster that is able to gather and serve current metrics values. It provides the Metrics API that is used by `kubectl top`, and horizontal pod autoscaler. Note that it doesn't include some features of Heapster, such as short term metrics for graphs in kube-dashboard and dedicated push sinks, which proved hard to maintain and...