JetBrains offers several licensing options that allow you to scale TeamCity to your needs.
In this setup, we'll use TeamCity Professional, a free fully functional edition suitable for average projects.
In the course of this section, you'll learn how to set up TeamCity, create a build configuration to pull the source code from GitHub and run the Gradle build.

=== Install and start TeamCity

	}

	if target.AverageUtilization == nil {
		errMsg := "invalid resource metric source: neither an average utilization target nor an average value (usage) target was set"
		return 0, nil, time.Time{}, "", condition, fmt.Errorf(errMsg)
	}

	targetUtilization := *target.AverageUtilization

   */
  @SuppressWarnings("GoodTime") // should return a java.time.Duration
  public long totalLoadTime() {
    return totalLoadTime;
  }

  /**
   * Returns the average time spent loading new values. This is defined as {@code totalLoadTime /
   * (loadSuccessCount + loadExceptionCount)}.
   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is

   */
  @SuppressWarnings("GoodTime") // should return a java.time.Duration
  public long totalLoadTime() {
    return totalLoadTime;
  }

  /**
   * Returns the average time spent loading new values. This is defined as {@code totalLoadTime /
   * (loadSuccessCount + loadExceptionCount)}.
   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is

  // Next ID: 7
  enum CalibrationMethod {
    CALIBRATION_METHOD_UNSPECIFIED = 0;
    // Use the min, max values of all sample datasets.
    CALIBRATION_METHOD_MIN_MAX = 1;
    // Use the average of min, max values in each sample dataset.
    CALIBRATION_METHOD_AVERAGE_MIN_MAX = 2;
    // Use the min/max percentile value of histogram.
    CALIBRATION_METHOD_HISTOGRAM_PERCENTILE = 3;

							cachedTypeFields(t)
						}
						wg.Done()
					}(j)
				}
				wg.Wait()
			}
		})
	}

	// HitTypes tests the performance of repeated cache hits.
	// This measures the average time of each cache lookup.
	for nt := 1; nt <= maxTypes; nt *= 10 {
		// Pre-warm a cache of size nt.
		clearCache()
		for _, t := range types[:nt] {
			cachedTypeFields(t)
		}

			return len(n) == 1 && n[0] == p+2
		}
		if p == 40 {
			// We'll never find (d/n) = -1 if n is a square.
			// If n is a non-square we expect to find a d in just a few attempts on average.
			// After 40 attempts, take a moment to check if n is indeed a square.
			t1 = t1.sqrt(n)
			t1 = t1.sqr(t1)
			if t1.cmp(n) == 0 {
				return false
			}
		}
	}

	stats.highWatermark = obs.Max
	if obs.Duration <= 0 {
		return
	}
	if math.IsNaN(obs.Deviation) {
		obs.Deviation = 0
	}
	stats.avg = obs.Average
	stats.stdDev = obs.Deviation
	envelope := obs.Average + obs.Deviation
	stats.smoothed = math.Max(envelope, seatDemandSmoothingCoefficient*stats.smoothed+(1-seatDemandSmoothingCoefficient)*envelope)
}

						},
					},
					"currentCPUUtilizationPercentage": {
						SchemaProps: spec.SchemaProps{
							Description: "currentCPUUtilizationPercentage is the current average CPU utilization over all pods, represented as a percentage of requested CPU, e.g. 70 means that an average pod is using now 70% of its requested CPU.",
							Type:        []string{"integer"},
							Format:      "int32",
						},
					},
				},

	Rotational bool
	Metrics    DiskMetrics
	Error      string // carries the error over the network
}

// DiskMetrics has the information about XL Storage APIs
// the number of calls of each API and the moving average of
// the duration of each API.
type DiskMetrics struct {
	LastMinute              map[string]AccElem `json:"apiLatencies,omitempty"`
	APICalls                map[string]uint64  `json:"apiCalls,omitempty"`