| Measurement |
Description |
Measurement Unit |
Interpretation |
| usage_init |
Indicates the initial amount of memory allocated to this memory pool for memory management at startup. |
MB |
|
| usage_used |
Indicates the amount of memory that is currently utilized by this memory pool. |
MB |
It includes the memory occupied by all objects, including both reachable and unreachable objects.
Ideally, the value of this measure should be low. A high value or a consistent increase in the value could indicate gradual erosion of memory resources. In such a situation, you can take the help of the detailed diagnosis of this measure (if enabled), to figure out which class is using up memory excessively. |
| usage_committed |
Indicates the amount of memory that is guaranteed to be available for use by this memory pool. |
MB |
The amount of usage_committed may change over time. The Java virtual machine may release memory to the system and committed memory could be less than the amount of memory initially allocated at startup. Committed will always be greater than or equal to used memory. |
| usage_max |
Indicates the maximum amount of memory that can be used for memory management by this memory pool. |
MB |
This is the difference between usage_committed and sum_used.
Ideally, the value of this measure should be high. |
| peakUsage_init |
Indicates the upper limit usage of the initial memory by this memory pool since startup of the JVM or since the peak was reset. |
MB |
|
| peakUsage_used |
Indicates the upper limit usage of the memory that is currently utilized by this memory pool. |
MB |
|
| peakUsage_committed |
Indicates the upper limit usage of the memory that is guaranteed to be available for use by this memory pool. |
MB |
|
| peakUsage_max |
Indicates the upper limit of the maximum memory that can be used for memory management by this memory pool. |
MB |
|
| collection_init |
Indicates the amount of initial memory that was utilized by this memory pool after the completion of the last garbage collection. |
MB |
|
| collection_used |
Indicates the amount of used memory that was currently utilized by this memory pool after the completion of the last garbage collection. |
MB |
|
| collection_committed |
Indicates the amount of committed memory that is guaranteed to be available for use by this memory pool after the completion of the last garbage collection. |
MB |
|
| collection_max |
Indicates the amount of maximum memory that can be used for memory management by this memory pool after the completion of the last garbage collection. |
MB |
|
| sum_init |
Indicates the total amount of memory initially allocated to the memory pools of this memory type at startup. |
MB |
This measure is applicable only to the Usage Summary descriptor. |
| sum_used |
Indicates the total amount of memory currently utilized by the memory pools of this memory type. |
MB |
This measure is applicable only to the Usage Summary descriptor.
Ideally, the value of this measure should be low. A high value or a consistent increase in the value could indicate gradual erosion of memory resources. In such a situation, you can take the help of the detailed diagnosis of this measure (if enabled), to figure out which class is using up memory excessively. |
| sum_committed |
Indicates the amount of memory that is guaranteed to be available for use by the memory pools of this memory type. |
MB |
This measure is applicable only to the Usage Summary descriptor. |
| sum_free |
Indicates the total amount of memory currently available for use by the memory pools of this memory type. |
MB |
This measure is applicable only to the Usage Summary descriptor.
Ideally, the value of this measure should be high. |
| sum_max |
Indicates the maximum amount of memory that can be used for memory management by the memory pools of this memory type. |
MB |
This measure is applicable only to the Usage Summary descriptor. |
| sum_percentage |
Indicates the percentage of memory utilized by the memory pools of this memory type. |
MB |
This measure is applicable only to the Usage Summary descriptor.
Ideally, the value of this measure should be low. A very high value of this measure could indicate excessive memory consumption by the JVM, which in turn, could warrant further investigation. In such a situation, you can take the help of the detailed diagnosis of this measure (if enabled), to figure out which class is using up memory excessively. |