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Results 1 - 10 of 30 for Rate (0.16 sec)

  1. docs/metrics/prometheus/grafana/bucket/minio-bucket.json

              },
              "exemplar": true,
              "expr": "sum by (bucket) (rate(minio_bucket_traffic_sent_bytes{job=\"$scrape_jobs\"}[$__rate_interval]))",
              "interval": "1m",
              "intervalFactor": 2,
              "legendFormat": "Data Sent [{{bucket}}]",
              "refId": "A"
            }
          ],
          "title": "Total Data Sent Rate",
          "type": "timeseries"
        },
        {
          "datasource": {
    Json
    - Registered: Sun May 05 19:28:20 GMT 2024
    - Last Modified: Mon Apr 15 10:03:01 GMT 2024
    - 102K bytes
    - Viewed (0)
  2. operator/cmd/mesh/testdata/manifest-generate/data-snapshot.tar.gz

    1, "legendFormat": "Rejected LDS Configs", "refId": "B" }, { "expr": "sum(rate(pilot_xds_write_timeout{app=\"istiod\"}[1m]))", "format": "time_series", "intervalFactor": 1, "legendFormat": "Write Timeouts", "refId": "F" }, { "expr": "sum(rate(pilot_total_xds_internal_errors{app=\"istiod\"}[1m]))", "format": "time_series", "hide": false, "intervalFactor": 1, "legendFormat": "Internal Errors", "refId": "H" }, { "expr": "sum(rate(pilot_total_xds_rejects{app=\"istiod\"}[1m]))", "format": "time_series",...
    Others
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Wed Jan 10 05:10:03 GMT 2024
    - 198.1K bytes
    - Viewed (1)
  3. cmd/metrics-v2.go

    	receivedCount      MetricName = "received_count"
    	sentCount          MetricName = "sent_count"
    	currTransferRate   MetricName = "current_transfer_rate"
    	avgTransferRate    MetricName = "average_transfer_rate"
    	maxTransferRate    MetricName = "max_transfer_rate"
    	credentialErrors   MetricName = "credential_errors"
    
    	currLinkLatency MetricName = "current_link_latency_ms"
    	avgLinkLatency  MetricName = "average_link_latency_ms"
    Go
    - Registered: Sun May 05 19:28:20 GMT 2024
    - Last Modified: Thu Apr 25 22:01:31 GMT 2024
    - 132.6K bytes
    - Viewed (0)
  4. manifests/addons/dashboards/istio-workload-dashboard.json

              "format": "time_series",
              "intervalFactor": 1,
              "refId": "A"
            }
          ],
          "title": "Incoming Success Rate (non-5xx responses)",
          "type": "stat"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "fieldConfig": {
            "defaults": {
    Json
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Wed Mar 27 03:47:04 GMT 2024
    - 102.7K bytes
    - Viewed (0)
  5. manifests/addons/dashboards/istio-service-dashboard.json

              "format": "time_series",
              "intervalFactor": 1,
              "range": true,
              "refId": "A"
            }
          ],
          "title": "Client Success Rate (non-5xx responses)",
          "type": "stat"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "fieldConfig": {
            "defaults": {
    Json
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Wed Mar 27 03:47:04 GMT 2024
    - 111.8K bytes
    - Viewed (0)
  6. guava/src/com/google/common/cache/LocalCache.java

       *
       * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
       * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
       * operates per-segment rather than globally for increased implementation simplicity. We expect
       * the cache hit rate to be similar to that of a global LRU algorithm.
       */
    
      // Constants
    
      /**
    Java
    - Registered: Fri Apr 05 12:43:09 GMT 2024
    - Last Modified: Thu Feb 22 17:40:56 GMT 2024
    - 150.3K bytes
    - Viewed (0)
  7. android/guava/src/com/google/common/cache/LocalCache.java

       *
       * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
       * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
       * operates per-segment rather than globally for increased implementation simplicity. We expect
       * the cache hit rate to be similar to that of a global LRU algorithm.
       */
    
      // Constants
    
      /**
    Java
    - Registered: Fri May 03 12:43:13 GMT 2024
    - Last Modified: Thu Feb 22 17:40:56 GMT 2024
    - 144.7K bytes
    - Viewed (0)
  8. android/guava-tests/test/com/google/common/util/concurrent/FuturesTest.java

       * to hang (possibly too quickly, but too-quick failures should be very unlikely, given that we
       * used to bail after 20ms during the expected-successful tests, and there we saw a failure rate
       * of ~1/5000, meaning that the other thread's get() call nearly always completes within 20ms if
       * it's going to complete at all).
       *
    Java
    - Registered: Fri May 03 12:43:13 GMT 2024
    - Last Modified: Tue Feb 20 17:00:05 GMT 2024
    - 144.5K bytes
    - Viewed (0)
  9. guava-tests/test/com/google/common/util/concurrent/FuturesTest.java

       * to hang (possibly too quickly, but too-quick failures should be very unlikely, given that we
       * used to bail after 20ms during the expected-successful tests, and there we saw a failure rate
       * of ~1/5000, meaning that the other thread's get() call nearly always completes within 20ms if
       * it's going to complete at all).
       *
    Java
    - Registered: Fri Apr 12 12:43:09 GMT 2024
    - Last Modified: Tue Feb 20 17:00:05 GMT 2024
    - 144.5K bytes
    - Viewed (0)
  10. okhttp/src/test/java/okhttp3/CacheTest.kt

      }
    
      /**
       * For Last-Modified and Date headers, we should echo the date back in the exact format we were
       * served.
       */
      @Test
      fun retainServedDateFormat() {
        // Serve a response with a non-standard date format that OkHttp supports.
        val lastModifiedDate = Date(System.currentTimeMillis() + TimeUnit.HOURS.toMillis(-1))
        val servedDate = Date(System.currentTimeMillis() + TimeUnit.HOURS.toMillis(-2))
    Plain Text
    - Registered: Fri May 03 11:42:14 GMT 2024
    - Last Modified: Wed Apr 10 19:46:48 GMT 2024
    - 108.6K bytes
    - Viewed (0)
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