However, if this number only spikes during hard page faults, you have a problem with memory capacity and not disk performance. ![]() Cache faults are resolved by reading the appropriate file data from disk, or in the case of a remotely stored file accessing it across the network. If this number is greater than the number of spindles in your array, you have a problem. Cache faults are a type of page fault that occur when a program references a section of an open file that is not currently resident in physical memory. The top window always shows a list of the currently active processes, including the names of their owning accounts, whereas the information displayed in the bottom window depends on the. The Process Explorer display consists of two sub-windows. To get a picture here, look at Physical Disk: Avg. Process Explorer shows you information about which handles and DLLs processes have opened or loaded. The Used Physical Memory graph shows a percentage value that. I would consider any sustained number of hard faults to be indicative of a memory shortage.Īs you go further down the rabbit hole, you can also compare disk queue lengths to hard faults to see if the disk reads are further affecting disk performance. On the right side of Resource Monitor’s Memory tab you’ll see three graphs: Used Physical Memory, Commit Charge, and Hard Faults/Sec. Hard faults mean process execution is interrupted so memory can be read from disk (usually it means hitting the page file). The real counter for memory shortages will be hard faults which can be found under Memory: Page Reads/sec. paging between memory locations) and cache faults (reading files in to memory) as they have limited performance impact in most situations. For the most part, you can ignore soft faults (i.e. This is a good question because getting a read on memory issues for performance monitoring is difficult.įirst off, when looking at Page Faults/sec keep in mind that this includes soft faults, hard faults and file cache faults.
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