#Other words for running low full#

#Other words for running low full#

When the memory load gets to a reasonably low point it starts accepting new requests again.Д«ut the problem is, if the current requests donвЂ™t make any allocations or donвЂ™t make enough allocations to trigger a full GC your managed heap doesnвЂ™t have a chance to collect dead objects so after the current requests drain the memory consumption does not go down. Something that server throttling code usually does is to monitor the memory usage and when the memory consumption gets high it stops accepting new requests and waits for the current requests to drain. To get the amount of memory that the managed heap is using, the most accurate way is to monitor the вЂњ# Total committed bytesвЂќ performance counter under.

You can get the process info via either Win32 APIs, perf counters or the managed Process class. Currently thereвЂ™s no notification sent by the GC for low memory вЂ“ one reason being the memory is used not only by the managed heap but also by native heaps/modules loaded/etc. You can do this by either calling the Win32 API GlobalMemoryStatusEx, or monitor memory performance counters.

For example, if your app handles requests where the amount of memory each request consumes can vary dramatically, you may be able to handle 1000 concurrent requests some times before running out of memory but only 800 other times.ДЇirst of all, letвЂ™s talk about how you know when the memory is low on the machine. You can experiment and see how you can avoid getting into the low memory situation but sometimes itвЂ™s hard to predict and hard to test all scenarios your app can get into. When the physical memory gets low you may start getting OOMs or start paging. LetвЂ™s assume that you have enough virtual memory space. When I say memory I mean physical memory.