### Autoscaling

- Horizontal Pod Autoscaling can now scale targets up even when one or more metrics are invalid/unavailable, as long as one metric indicates a scale up should occur. ([#78503](https://github.com/kubernetes/kubernetes/pull/78503), [@gjtempleton](https://github.com/gjtempleton))


### AWS

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        < ImmutableCollection.Builder.DEFAULT_INITIAL_CAPACITY) {
      return inputElementsIncludingAnyDuplicates;
    }
    // Guess the size is "halfway between" all duplicates and no duplicates, on a log scale.
    return max(
        ImmutableCollection.Builder.DEFAULT_INITIAL_CAPACITY,
        sqrt(inputElementsIncludingAnyDuplicates, RoundingMode.CEILING));
  }

// APIs for sampler buckets
typedef struct TFE_MonitoringBuckets TFE_MonitoringBuckets;
TF_CAPI_EXPORT extern TFE_MonitoringBuckets*
TFE_MonitoringNewExponentialBuckets(double scale, double growth_factor,
                                    int bucket_count);
TF_CAPI_EXPORT extern void TFE_MonitoringDeleteBuckets(
    TFE_MonitoringBuckets* buckets);

// APIs for Sampler without label.

func (p *Parser) validSymbol(pseudo string, addr *obj.Addr, offsetOk bool) bool {
	if addr.Sym == nil || addr.Name != obj.NAME_EXTERN && addr.Name != obj.NAME_STATIC || addr.Scale != 0 || addr.Reg != 0 {
		p.errorf("%s symbol %q must be a symbol(SB)", pseudo, symbolName(addr))
		return false
	}
	if !offsetOk && addr.Offset != 0 {

ortant}.object-fit-contain{-o-object-fit:contain!important;object-fit:contain!important}.object-fit-cover{-o-object-fit:cover!important;object-fit:cover!important}.object-fit-fill{-o-object-fit:fill!important;object-fit:fill!important}.object-fit-scale{-o-object-fit:scale-down!important;object-fit:scale-down!important}.object-fit-none{-o-object-fit:none!important;object-fit:none!important}.opacity-0{opacity:0!important}.opacity-25{opacity:.25!important}.opacity-50{opacity:.5!important}.opacity-7...

* Update etcd 2.2 references to use 3.0.x ([#29399](https://github.com/kubernetes/kubernetes/pull/29399), [@timothysc](https://github.com/timothysc))
* HPA: ignore scale targets whose replica count is 0 ([#29212](https://github.com/kubernetes/kubernetes/pull/29212), [@sjenning](https://github.com/sjenning))

- If we set SelectPolicy MinPolicySelect on scaleUp behavior or scaleDown behavior,Horizontal Pod Autoscaler doesn't automatically scale the number of pods correctly ([#95647](https://github.com/kubernetes/kubernetes/pull/95647), [@JoshuaAndrew](https://github.com/JoshuaAndrew)) [SIG Apps and Autoscaling]

	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node

- If we set SelectPolicy MinPolicySelect on scaleUp behavior or scaleDown behavior,Horizontal Pod Autoscaler doesn't automatically scale the number of pods correctly ([#95647](https://github.com/kubernetes/kubernetes/pull/95647), [@JoshuaAndrew](https://github.com/JoshuaAndrew)) [SIG Apps and Autoscaling]