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    Database Autonomy Service:Scoring rules

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    Database Autonomy Service:Scoring rules

    Last Updated:Apr 01, 2026

    Database Autonomy Service (DAS) scores the health of your database instances on a 100-point scale. Points are deducted when specific conditions are met. This topic describes the scoring items, deduction conditions, and formulas used by the inspection and scoring feature.

    Usage notes

    • To view inspection and scoring results, enable the inspection and scoring feature first. For more information, see Inspection and scoring.

    • View scores for each instance in the console. For more information, see Inspection and scoring.

    Scoring rules

    ApsaraDB RDS for MySQL, self-managed MySQL, and PolarDB for MySQL

    Resource utilization

    Item Description Applies to Sub-item Condition Deducted points
    CPU utilization (cpuUsage) Average CPU utilization during a day. For multi-core instances, the system calculates the utilization of each core and then averages the results. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Major 70% ≤ cpuUsage ≤ 80% 1 + (cpuUsage − 0.7) × 20
    Critical cpuUsage ≥ 80% min[3 + (cpuUsage − 0.8) × 30, 10]
    Memory usage (memUsage) Average memory usage during a day. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Major 80% ≤ memUsage ≤ 90% 1 + (memUsage − 0.8) × 20
    Critical memUsage > 90% min[(memUsage − 0.9) × 50, 10]
    Space usage Storage usage = Average used storage during a day / Total storage × 100% ApsaraDB RDS for MySQL, PolarDB for MySQL Available days availableDays ≤ 30 15 − availableDays/3
    Connection usage (connectionRate) Connection usage = Average number of connections during a day / Maximum number of connections allowed × 100% ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Major 70% ≤ connectionRate ≤ 80% 1
    Critical connectionRate > 80% 3
    IOPS usage (iopsUsage) IOPS usage = Average IOPS during a day / Maximum IOPS allowed × 100% ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Major 70% < iopsUsage < 90% 3
    Critical iopsUsage > 90% 5

    Performance

    Item Description Applies to Sub-item Condition Deducted points
    Active sessions (threadRunning) Number of active sessions generated in one day. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Major threadRunning > min(2 × cpuCores + 8, 64) 3
    Critical threadRunning > min(4 × cpuCores + 8, 96) 9
    Slow SQL statements (slowSqlCount) Number of slow SQL statements generated in one day. Click the number to view the five most frequently executed slow SQL statements. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Minor 0 < slowSqlCount < 100 1 + (slowSqlCount − 10)/30
    Major 100 ≤ slowSqlCount < 500 4 + (slowSqlCount − 100)/30
    Critical slowSqlCount ≥ 500 min[18 + (slowSqlCount − 50)/30, 30]
    Large tables Number of tables that occupy more than 50 GB of space, including fragments. ApsaraDB RDS for MySQL, self-managed MySQL — bigTableCount > 0 min(bigTableCount, 15)

    Security

    Item Description Applies to Sub-item Condition Deducted points
    SQL security audit (sqlInjectionCount) Number of high-risk SQL statements and SQL injection attacks detected in one day. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL High-risk SQL statements riskSqlCount > 0 min(riskSqlCount, 5)
    SQL injection sqlInjectionCount > 0 min(sqlInjectionCount, 5)

    Availability

    Item Description Applies to Sub-item Condition Deducted points
    Deadlock Whether a deadlock occurred during a day. ApsaraDB RDS for MySQL, self-managed MySQL, PolarDB for MySQL Minor A deadlock occurred 3

    Redis

    Resource utilization

    Item Description Applies to Sub-item Condition Deducted points
    CPU utilization (cpuUsage) Average CPU utilization during a day. For multi-core instances, the system calculates the utilization of each core and then averages the results. Redis Major 70% ≤ cpuUsage ≤ 80% 1 + (cpuUsage − 0.7) × 20
    Critical cpuUsage ≥ 80% min[3 + (cpuUsage − 0.8) × 30, 10]
    Memory usage (memUsage) Average memory usage during a day. Redis Major 80% ≤ memUsage ≤ 90% 1 + (memUsage − 0.8) × 20
    Critical memUsage > 90% min[(memUsage − 0.9) × 50, 10]
    Connection usage (connectionRate) Connection usage = Average number of connections during a day / Maximum number of connections allowed × 100% Redis Major 70% ≤ connectionRate ≤ 80% 1
    Critical connectionRate > 80% 3
    Traffic usage (FlowRate) Traffic usage = Average traffic during a day / Maximum traffic allowed × 100%. Both inbound and outbound traffic count. Redis Major 80% ≤ FlowRate ≤ 85% 1
    Critical FlowRate > 85% 3

    Performance

    Item Description Applies to Sub-item Condition Deducted points
    Slow SQL statements (slowSqlCount) Total number of slow SQL statements generated in one day. Click the number to view the five most frequently executed slow SQL statements. Redis Minor 0 < slowSqlCount < 100 1 + (slowSqlCount − 10)/30
    Major 100 ≤ slowSqlCount < 500 4 + (slowSqlCount − 100)/30
    Critical slowSqlCount ≥ 500 min[18 + (slowSqlCount − 50)/30, 30]

    Availability

    Item Description Applies to Sub-item Condition Deducted points
    Hot keys (HotKey) Hot key information is detected. Redis Minor Hot keys detected 3
    Memory fragmentation ratio (HighMemoryFragment) mem_fragmentation_ratio = used_memory_rss / used_memory, where used_memory_rss is the physical memory the operating system allocates to Redis (including memory fragments), and used_memory is the memory Redis requests to store data. For more information, see Memory fragmentation. Redis Minor HighMemoryFragment > 1.5 min(HighMemoryFragment × 2, 5)