# This example shows how to use Istio local rate limiting with descriptors to limit by path. 
# This uses the base book-info demo and adds rate limiting by path, specifically rate limiting the product page
# to 10 requests per minute, and the overall fdqn will be able to accept 100 requests per minute. 
apiVersion: networking.istio.io/v1alpha3
kind: EnvoyFilter
metadata:
  name: filter-local-ratelimit-svc
  namespace: istio-system
spec:
  workloadSelector:

cache-admin-hit-rate.png...

##################################################################################################
# Redis service and deployment
# Ratelimit service and deployment

# Note: a configmap is needed to make the rate limit deployment work properly, for example:
#
#  apiVersion: v1
#  kind: ConfigMap
#  metadata:
#    name: ratelimit-config
#  data:
#    config.yaml: |
#      domain: echo-ratelimit
#      descriptors:

import (
	"fmt"
	"math"
)

// A Rat represents a quotient a/b of arbitrary precision.
// The zero value for a Rat represents the value 0.
//
// Operations always take pointer arguments (*Rat) rather
// than Rat values, and each unique Rat value requires
// its own unique *Rat pointer. To "copy" a Rat value,
// an existing (or newly allocated) Rat must be set to
// a new value using the [Rat.Set] method; shallow copies

D":return e+"er";default:case"M":case"Q":case"DDD":case"d":case"w":case"W":return e}},week:{dow:1,doy:4},meridiemParse:/rati|sokalli|donparam|sanje/,meridiemHour:function(e,a){return 12===e&&(e=0),"rati"===a?e<4?e:e+12:"sokalli"===a?e:"donparam"===a?12<e?e:e+12:"sanje"===a?e+12:void 0},meridiem:function(e,a,t){return e<4?"rati":e<12?"sokalli":e<16?"donparam":e<20?"sanje":"rati"}});var Fs={1:"\u0ae7",2:"\u0ae8",3:"\u0ae9",4:"\u0aea",5:"\u0aeb",6:"\u0aec",7:"\u0aed",8:"\u0aee",9:"\u0aef",0:"\u0ae6...

				// really handle this well, so don't check the goal ratio for it.
				n := len(c)
				if n >= 25 {
					// For the pacer redesign, assert something even stronger: at this alloc/scan rate,
					// it should be extremely close to the goal utilization.
					assertInEpsilon(t, "GC utilization", c[n-1].gcUtilization, GCGoalUtilization, 0.005)
					assertInRange(t, "goal ratio", c[n-1].goalRatio(), 0.95, 1.05)

John Zheng <******@****.***> 1615837852 +0800

	runway atomic.Uint64

	// consMark is the estimated per-CPU consMark ratio for the application.
	//
	// It represents the ratio between the application's allocation
	// rate, as bytes allocated per CPU-time, and the GC's scan rate,
	// as bytes scanned per CPU-time.
	// The units of this ratio are (B / cpu-ns) / (B / cpu-ns).
	//
	// At a high level, this value is computed as the bytes of memory

// clock skew, but is not tolerant to arbitrary clock skew rate.
//
// However the level of tolerance to skew rate can be configured by setting
// RenewDeadline and LeaseDuration appropriately. The tolerance expressed as a
// maximum tolerated ratio of time passed on the fastest node to time passed on
// the slowest node can be approximately achieved with a configuration that sets
// the same ratio of LeaseDuration to RenewDeadline. For example if a user wanted

          'Bytes ({{pod}})',
          |||
            sum by (pod) (
              rate(
                go_memstats_alloc_bytes_total{%(appLabels)s}
              [$__rate_interval])
            )
          |||
        ),
        self.query(
          'Objects ({{pod}})',
          |||
            sum by (pod) (
              rate(
                go_memstats_mallocs_total{%(appLabels)s}
              [$__rate_interval])