anchor.diff:  . Click **Machine Learning** in the side navigation,
   then click **Create new job**.
   
  -. Click **Create single metric job**.
  +. Click **Create single metric job**. +
  ++
  +--
  +[role="screenshot"]
   image::images/ml-create-jobs.jpg["Create a new job"]
  +--
   
   . Click the `server-metrics` index. +
   +
   --
  +[role="screenshot"]
   image::images/ml-gs-index.jpg["Select an index"]
   --
   
  -. Configure the job by providing the following information:
  +. Configure the job by providing the following information: +
  ++
  +--
  +[role="screenshot"]
   image::images/ml-gs-single-job.jpg["Create a new job from the server-metrics index"]
  +--
   
   .. For the **Aggregation**, select `Sum`. This value specifies the analysis
   function that is used.
  
positive.code: [[ml-gs-job1-manage]]
  === Managing Jobs
  
  After you create a job, you can see its status in the **Job Management** tab:
  
  image::images/ml-gs-job1-manage1.jpg["Status information for the total-requests job"]
  
  The following information is provided for each job:
  
negative.code: now process the remaining data by restarting the data feed:
  
  . In the **Machine Learning** / **Job Management** tab, click the following
  button to start the data feed: image:images/ml-start-feed.jpg["Start data feed"]
  
  
  . Choose a start time and end time. For example,
  click **Continue from 2017-04-01 23:59:00** and select **2017-04-30** as the
  search end time. Then click **Start**. The date picker defaults to the latest
  timestamp of processed data. Be careful not to leave any gaps in the analysis,
  otherwise you might miss anomalies. +
  +
  --
  [role="screenshot"]
  image::images/ml-gs-job1-datafeed.jpg["Restarting a data feed"]
  --
  
  The data feed state changes to `started`, the job state changes to `opened`,
  and the number of processed records increases as the new data is analyzed. The
  latest timestamp information also increases. For example:
  [role="screenshot"]
  image::images/ml-gs-job1-manage2.jpg["Job opened and data feed started"]
  
  TIP: If your data is being loaded continuously, you can continue running the job
  in real time. For this, start your data feed and select **No end time**.
  
  If you want to stop the data feed at this point, you can click the following
  button: image:images/ml-stop-feed.jpg["Stop data feed"]
  
  Now that you have processed all the data, let's start exploring the job results.
  
  