Monday, August 04, 2008

Windows server performance monitoring benchmark taken from Steven Choy article 08042008

Taken from Steven Choy's article on Server pulse

Hard Disk Bottleneck

LogicalDisk\% Free Space: This measures the percentage of free space on the selected logical disk drive. Take note if this falls below 15 percent, as you risk running out of free space for the OS to store critical files. One obvious solution here is to add more disk space.

PhysicalDisk\% Idle Time: This measures the percentage of time the disk was idle during the sample interval. If this counter falls below 20 percent, the disk system is saturated. You may consider replacing the current disk system with a faster disk system.

PhysicalDisk\Avg. Disk Sec/Read: This measures the average time, in seconds, to read data from the disk. If the number is larger than 25 milliseconds (ms), that means the disk system is experiencing latency when reading from the disk. For mission-critical servers hosting SQL Server® and Exchange Server, the acceptable threshold is much lower, approximately 10 ms. The most logical solution here is to replace the current disk system with a faster disk system.

PhysicalDisk\Avg. Disk Sec/Write: This measures the average time, in seconds, it takes to write data to the disk. If the number is larger than 25 ms, the disk system experiences latency when writing to the disk. For mission-critical servers hosting SQL Server and Exchange Server, the acceptable threshold is much lower, approximately 10 ms. The likely solution here is to replace the disk system with a faster disk system.

PhysicalDisk\Avg. Disk Queue Length: This indicates how many I/O operations are waiting for the hard drive to become available. If the value here is larger than the number of spindles plus two, that means the disk itself may be the bottleneck.
Memory\Cache Bytes: This indicates the amount of memory being used for the file system cache. There may be a disk bottleneck if this value is greater than 200MB.

Memory Bottleneck

Memory\% Committed Bytes in Use: This measures the ratio of Committed Bytes to the Commit Limit—in other words, the amount of virtual memory in use. This indicates insufficient
memory if the number is greater than 80 percent. The obvious solution for this is to add more memory.

Memory\% Available Mbytes: This measures the amount of physical memory, in megabytes, available for running processes. If this value is less than 5 percent of the total physical RAM, that means there is insufficient memory, and that can increase paging activity. To resolve this problem, you should simply add more memory.

Memory\Free System Page Table Entries: This indicates the number of page table entries not currently in use by the system. If the number is less than 5,000, there may well be a memory
leak.

Memory\Pool Non-Paged Bytes: This measures the size, in bytes, of the non-paged pool. This is an area of system memory for objects that cannot be written to disk but instead must remain in physical memory as long as they are allocated. There is a possible memory leak if the value is greater than 175MB (or 100MB with the /3GB switch). A typical Event ID 2019 is recorded in the system event log.

Memory\Pool Paged Bytes: This measures the size, in bytes, of the paged pool. This is an area of system memory used for objects that can be written to disk when they are not being used. There may be a memory leak if this value is greater than 250MB (or 170MB with the /3GB switch). A typical Event ID 2020 is recorded in the system event log.

Memory\Pages per Second: This measures the rate at which pages are read from or written to disk to resolve hard page faults. If the value is greater than 1,000, as a result of excessive paging, there may be a memory leak.

Processor Bottleneck

Processor\% Processor Time: Thismeasures the percentage of elapsed time the processor spends executing a non-idle thread. If the percentage is greater than 85 percent, the processor is overwhelmed and the server may require a faster processor.

Processor\% User Time: This measures the percentage of elapsed time the processor spends in user mode. If this value is high, the server is busy with the application. One possible solution here is to optimize the application that is using up the processor resources.

Processor\% Interrupt Time: This measures the time the processor spends receiving and servicing hardware interruptions during specific sample intervals. This counter indicates a possible hardware issue if the value is greater than 15 percent.

System\Processor Queue Length: This indicates the number of threads in the processor queue. The server doesn't have enough processor power if the value is more than two times the number of CPUs for an extended period of time.

Network Bottleneck

Network Interface\Bytes Total/Sec: This measures the rate at which bytes are sent and received over each network adapter, including framing characters. The network is saturated if you discover that more than 70 percent of the interface is consumed. For a 100-Mbps NIC, the interface consumed is 8.7MB/sec (100Mbps =100000kbps = 12.5MB/sec* 70 percent). In a situation like this, you may want to add a faster network card or segment the network.

Network Interface\Output Queue Length: This measures the length of the output packet queue, in packets. There is network saturation if the value is more than 2. You can address this problem by adding a faster network card or segmenting the network.

Process Bottleneck

Process\Handle Count: This measures the total number of handles that are currently open by a
process. This counter indicates a possible handle leak if the number is greater than 10,000.

Process\Thread Count: This measures the number of threads currently active in a process. There may be a thread leak if this number is more than 500 between the minimum and maximum number of threads.

Process\Private Bytes: This indicates the amount of memory that this process has allocated that
cannot be shared with other processes. If the value is greater than 250 between the minimum and maximum number of threads, there may be a memory leak.




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