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title=Load statistics: {0}
blurb=\
  Load statistics keep track of three key metrics of resource utilization: \
  
\
Total number of executors
\
\ For a computer, this is the number of executors that the computer has. \ For a label, this is the sum of all executors across all computers in this label. \ For the entire Hudson, this is the sum of all executors across all computers in this Hudson installation. \ Other than configuration changes, this value can also change when slaves go offline. \
\
Number of busy executors
\
\ This line tracks the number of executors (among the executors counted above) \ that are carrying out builds. The ratio of this to the total number of executors \ gives you the resource utilization. If all your executors are busy for \ a prolonged period of time, consider adding more computers to your Hudson cluster.\
\
Queue length
\
\ This is the number of jobs that are in the build queue, waiting for an \ available executor (of this computer, of this label, or in this Hudson, respectively.) \ This doesn't include jobs that are in the quiet period, nor does it include \ jobs that are in the queue because earlier builds are still in progress. \ If this line ever goes above 0, that means your Hudson will run more builds by \ adding more computers.\
\
\ The graph is exponential moving average of periodically collected data values. \ 3 timespans are updated every 10 seconds, 1 minute, and 1 hour respectively.




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