);
        }
    }

    @Nested
    @DisplayName("Performance and Stability Tests")
    class PerformanceTests {

        @RepeatedTest(value = 10, name = "Repeated encoding/decoding stability test {currentRepetition}/{totalRepetitions}")
        @DisplayName("Encoding and decoding is stable across multiple iterations")

Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.

- kube-proxy metrics are now marked as with the ALPHA stability level. ([#81626](https://github.com/kubernetes/kubernetes/pull/81626), [@logicalhan](https://github.com/logicalhan))

- Change `pod_preemption_victims` metric from Gauge to Histogram. ([#83603](https://github.com/kubernetes/kubernetes/pull/83603), [@Tabrizian](https://github.com/Tabrizian))
- Following metrics from kubelet are now marked as with the ALPHA stability level:

    - [CustomResourceDefinition Defaulting](#customresourcedefinition-defaulting)
    - [CustomResourceDefinition OpenAPI Publishing](#customresourcedefinition-openapi-publishing)
  - [Cluster Lifecycle Stability and Usability Improvements](#cluster-lifecycle-stability-and-usability-improvements)
  - [Continued improvement of CSI](#continued-improvement-of-csi)
    - [Additional Notable Feature Updates](#additional-notable-feature-updates)

(kernel or iptables versions are insufficient), the kube-proxy will fall-back
to userspace mode. Kube-proxy is much more performant and less
resource-intensive in ‘iptables’ mode.
  * Node stability can be improved by reserving [resources](https://github.com/kubernetes/kubernetes/blob/release-1.2/docs/proposals/node-allocatable.md) for the base operating system using --system-reserved and --kube-reserved Kubelet flags

SIG Scalability has mostly focused on stability and deflaking our tests, investing into framework for writing scalability tests (ClusterLoader v2) with a goal to migrate all tests to it by the end of 2018 and on the work towards extending definition of Kubernetes scalability by providing more/better user-friendly SLIs/SLOs.

### SIG Scheduling

- Kube-apiserver: Fixed a `1.27`+ regression in watch stability by serving watch requests without a `resourceVersion` from the watch cache by default, as in <`1.27` (disabling the change in PR 115096 by default). This mitigates the impact of an etcd watch bug (https://github.com/etcd-io/etcd/pull/17555). If the 1.27 change in PR 115096 to serve these requests from underlying storage is still desired despite the impact on watch stability, it can be re-enabled with a `WatchFromStorageWithoutResourceVersion`...

- Kube-apiserver: fixes a 1.27+ regression in watch stability by serving watch requests without a resourceVersion from the watch cache by default, as in <1.27 (disabling the change in #115096 by default). This mitigates the impact of an etcd watch bug (https://github.com/etcd-io/etcd/pull/17555). If the 1.27 change in #115096 to serve these requests from underlying storage is still desired despite the impact on watch stability, it can be re-enabled with a `WatchFromStorageWithoutResourceVersion`...

     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment
     * modifications before recheck.)  Method containsValue() uses similar constructions for
     * stability checks.
     */
    long sum = 0L;
    Segment<K, V, E, S>[] segments = this.segments;
    for (int i = 0; i < segments.length; ++i) {
      if (segments[i].count != 0) {
        return false;
      }