ĭoes your organization have a team or individual that monitors application servers to make sure they are functioning correctly?.Some examples of metrics that are frequently monitored are: If your organization has monitoring in place, you’ll want to learn as much about it as possible. Monitoring activities on an application server can reveal potential problems before they reach a critical point. Start the data collector set: Once the modifications are set, start or restart the data collector set. The justification of each of these counter paths is discussed throughout this book. \Processor Information(*)\% Processor Time \Processor Information(*)\% Privileged Time \Processor Information(*)\% of Maximum Frequency \Processor Information(*)\% Interrupt Time \PhysicalDisk(*)\Current Disk Queue Length \Network Interface(*)\Packets Received/sec \Network Interface(*)\Packets Outbound Errors \Network Interface(*)\Output Queue Length \Network Inspection System\Average inspection latency (sec/bytes)
\Memory\Long-Term Average Standby Cache Lifetime (s) \LogicalDisk(*)\Current Disk Queue Length
3.Ĭonsider the following list of counter paths in the performance counter data collector: This is important when using a data collector that will be running for a long time. Set to binary log file format: Unlike the text-based log file formats, binary is able to record transient counter instances that come and go. Use a maximum file size that is large enough to accommodate the intended window of time.
Raid monitor server 2008 windows#
The 10 ms increase in the threshold is based on my discussions with SAN vendors and the Microsoft Windows product team.įollow these steps to create a “black box” data collector: 1.Ĭreate a circular log file: Follow the steps in the “ Creating a circular data collector” section earlier in this chapter to create a circular data collector. Now, as discussed in Chapter 3 “Storage,” IO sizes have a significant impact on response times, so if the IO sizes are more than 64 KB, then add 10 ms to the service times of the storage device. Disk service times are the manufacturer's guarantee of how long it should take at maximum to get an IO from the storage device. If the IO size is 64 KB or smaller, then use the hardware manufacturer's disk service times (use 15 ms if the disk service times are unknown). The larger the IO size, the longer the response times, but the more data can be transferred per second and vice versa. If there was no IO requests queued, then the disk has no work to do (not busy) and the performance of the disk can be considered good until it has work to do again.įinally, check the average IO sizes and response times of the outstanding requests. Keep in mind that the queue length alone doesn't determine if a disk is overwhelmed, but it does tell us if the disk has constant work to do.
We are checking the queue length not because of the number of spindles, but because it means that the disk constantly has work to do. Disk Queue Length is a good choice because it calculates what the queue length might have been on average. The queue length can be quite erratic at times going from 0 to 1000 and back to 0 again in a quick succession, so the Avg. Disk Queue Length, % Idle Time, or % Disk Time. This can be done by monitoring the Current Disk Queue Length, Avg. Next, determine if the logical disks hosting the page files have outstanding IO requests by checking the queue length. Clint Huffman, in Windows Performance Analysis Field Guide, 2015 Are the disks overwhelmed?
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