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Target customers: big data developers and O&M engineers. Features released: Metrics are added for the job performance observation feature. These metrics allow you to perform the following operations: (1) View the top 10 jobs that consume the most CPU-hours or memory-hours and the top 10 signatures and ExtNodeIds of jobs that are ranked based on the highest total CPU-hours, highest average CPU-hours, highest total memory-hours, or highest average memory-hours within the selected filter range. (2) View the top 10 jobs that have the longest running durations and the top 10 signatures and ExtNodeIds of jobs that are ranked based on the longest total running durations or longest average running durations. (3) View the trend of data amounts that are scanned by jobs within a period of time. (4) View the trend of data amounts that are scanned by jobs per CU-hour within a period of time. You can use the preceding metrics to quickly identify jobs that consume the most resources and time, and manage the jobs at the earliest opportunity. You can also compare the data amounts that are scanned by jobs per CU-hour to determine whether performance deteriorates in a specific period of time. If performance deteriorates in a specific period of time, you can use the job management feature to identify the cause and resolve the issue at the earliest opportunity.