MinIO is a cloud-native application designed to scale in a sustainable manner in multi-tenant environments. Orchestration platforms provide perfect launchpad for MinIO to scale. Below is the list of MinIO deployment documents for various orchestration platforms:

  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

  static boolean isNormal(double d) {
    return getExponent(d) >= MIN_EXPONENT;
  }

  /*
   * Returns x scaled by a power of 2 such that it is in the range [1, 2). Assumes x is positive,
   * normal, and finite.
   */
  static double scaleNormalize(double x) {
    long significand = doubleToRawLongBits(x) & SIGNIFICAND_MASK;

	EXTRACTPS $4, X2, (BX)          // ERROR "invalid instruction"
	EXTRACTPS $-1, X2, (BX)         // ERROR "invalid instruction"
	// VSIB addressing does not permit non-vector (X/Y)
	// scaled index register.
	VPGATHERDQ X12,(R13)(AX*2), X11 // ERROR "invalid instruction"
	VPGATHERDQ X2, 664(BX*1), X1    // ERROR "invalid instruction"
	VPGATHERDQ Y2, (BP)(AX*2), Y1   // ERROR "invalid instruction"

  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

  static boolean isNormal(double d) {
    return getExponent(d) >= MIN_EXPONENT;
  }

  /*
   * Returns x scaled by a power of 2 such that it is in the range [1, 2). Assumes x is positive,
   * normal, and finite.
   */
  static double scaleNormalize(double x) {
    long significand = doubleToRawLongBits(x) & SIGNIFICAND_MASK;

				p.errorf("%s doesn't support scaled register format", p.arch.Name)
			} else {
				a.Scale = int16(scale)
			}
		}
		p.get(')')
	} else if scale != 0 {
		if p.arch.Family == sys.ARM64 {
			p.errorf("arm64 doesn't support scaled register format")
		}
		// First (R) was missing, all we have is (R*scale).
		a.Reg = 0
		a.Index = r1
		a.Scale = int16(scale)
	}
}

- Output for the `ScalingReplicaSet` event has changed from:
      Scaled <up|down> replica set <replica-set-name> to <new-value> from <old-value>
  to:

to a <code>NOP</code> instruction).
</p>

<p>
Addressing modes:
</p>

<ul>

<li>
<code>(R5)(R6*1)</code>: The location at <code>R5</code> plus <code>R6</code>.
It is a scaled mode as on the x86, but the only scale allowed is <code>1</code>.
</li>

</ul>

<h3 id="mips">MIPS, MIPS64</h3>

<p>
General purpose registers are named <code>R0</code> through <code>R31</code>,

* Calico has been updated to v2.5, RBAC added, and is now automatically scaled when GCE clusters are resized. ([#51237](https://github.com/kubernetes/kubernetes/pull/51237), [@gunjan5](https://github.com/gunjan5))



# v1.7.5

- From now on, the HPA controller will return an error for the container resource metrics when the feature gate "HPAContainerMetrics" is disabled. As a result, HPA with a container resource metric performs no scale-down and performs only scale-up based on other metrics. ([#116043](https://github.com/kubernetes/kubernetes/pull/116043), [@sanposhiho](https://github.com/sanposhiho)) [SIG API Machinery, Apps and Autoscaling]

`Policy` optionally took in a `tf.compat.v1.mixed_precision.LossScale` in the constructor, which defaulted to a dynamic loss scale for the `"mixed_float16"` policy and no loss scale for other policies. In `Model.compile`, if the model's policy had a loss scale, the optimizer would be wrapped with a `LossScaleOptimizer`. With the non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy...