MINIO_STORAGE_CLASS_RRS: Format "EC:<Default_Parity_Reduced_Redundancy_Class>" (e.g. "EC:3"). This sets the number of parity drives for MinIO server in Reduced Redundancy mode. Objects are stored in Reduced Redundancy mode, if Put request specifies RRS storage class
Refer to the link https://github.com/minio/minio/tree/master/docs/erasure/storage-class for more information`,
	)

* **Easier onboarding**: New contributors have clear guidance on which spelling to use
* **Better searchability**: Finding code and documentation becomes more predictable
* **Reduced review friction**: Less time spent on spelling corrections during PR reviews
* **Professional appearance**: Consistent APIs and documentation appear more polished

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     * @param combiner The function to combine the values of the true properties.
     *
     * @return A provider of the reduced value. Non-present if no properties are true.
     */
    fun <T : Any> Project.reduceBooleanFlagValues(flags: Map<Property<Boolean>, T>, combiner: (T, T) -> T): Provider<T> {
        return flags.entries
            .map { entry ->
                entry.key.map {
                    when (it) {

## Overview

MinIO supports two storage classes, Reduced Redundancy class and Standard class. These classes can be defined using environment variables
set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,

 * one or more streams, and then released. An allocated connection won't be stolen by other calls
 * while a redirect or authorization challenge is being handled.
 *
 * When the maximum concurrent streams limit is reduced, some allocations will be rescinded.
 * Attempting to create new streams on these allocations will fail.
 *
 * Note that an allocation may be released before its stream is completed. This is intended to make

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- Key management is now centralized. There is one way to change or rotate encryption keys.
   There used to be two different mechanisms - one for regular S3 objects and one for IAM data.
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.

 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashMap}. Generally speaking, this class reduces object allocation and memory

  * Pods can now consume Secret data in environment variables and inject those
environment variables into a container’s command-line args.
  * Stable version of Heapster which scales up to 1000 nodes: more metrics, reduced
latency, reduced cpu/memory consumption (~4mb per monitored node).
  * Pods now have a security context which allows users to specify:
     * attributes which apply to the whole pod:
        * User ID