{controller:vm.memory.utilization.min(5m)}>{$MEMORY.UTIL.MAX}
时间: 2023-11-01 11:55:43 浏览: 72
这也不是一个问题,而是一个类似于监控告警规则的表达式。其中,controller代表控制器,vm.memory.utilization.min(5m)表示最近5分钟内的内存利用率的最小值,$MEMORY.UTIL.MAX是一个变量,代表内存利用率的最大值。这个表达式的意思是,如果最近5分钟内的内存利用率的最小值高于内存利用率的最大值,则触发某个操作。这个操作可能是告警、自动扩容等等。
相关问题
psutil.virtual_memory()
psutil.virtual_memory() is a Python function that returns a named tuple representing the system's virtual memory statistics. The tuple contains the following fields:
- total: the total amount of physical memory, in bytes
- available: the amount of physical memory currently available, in bytes
- percent: the percentage of memory that is currently in use
- used: the amount of memory currently being used, in bytes
- free: the amount of memory currently available for use, in bytes
- active: the amount of memory currently being used actively, in bytes
- inactive: the amount of memory that is currently inactive, in bytes
- buffers: the amount of memory currently being used for buffers, in bytes
- cached: the amount of memory currently being used for caching, in bytes
This function is part of the psutil module, which is used to retrieve information about system processes and system utilization.
Provide at least three benefits of multithreaded programming.
1. Increased performance: Multithreading allows multiple tasks to be executed simultaneously, which can result in faster processing times and improved overall system performance.
2. Improved resource utilization: Multithreading allows for better utilization of system resources such as CPU, memory, and I/O devices. By dividing tasks among multiple threads, the workload can be distributed more efficiently, reducing resource contention and improving overall system efficiency.
3. Increased responsiveness: Multithreading can improve the responsiveness of an application by allowing it to continue processing while waiting for I/O operations or other tasks to complete. This can result in a more seamless user experience and improved overall system performance.
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