Monitoring and maintaining SharePoint Server 2010

Artikel
07/22/2014

Applies to: SharePoint Server 2010

This article provides information about monitoring and performance counters for Microsoft SharePoint Server 2010 farms. To maintain SharePoint Server 2010 system performance, you must monitor your server to identify potential bottlenecks. Before you can monitor effectively, you must understand the key indicators that will tell you if a specific part of your farm requires attention, and know how to interpret these indicators. If you find that your farm is operating outside the targets you have defined, you can adjust your farm by adding or removing hardware resources, modifying your topology, or changing how data is stored.

The information in this section is intended to help administrators manually configure performance counters and other settings. For more information about health monitoring and troubleshooting using the health monitoring tools built into the SharePoint Central Administration interface, read the following articles:

Before you read this article, you should read Capacity management and sizing overview for SharePoint Server 2010.

In this article:

Configuring Monitoring
Removing Bottlenecks

Configuring Monitoring

Below is a list of the settings that you can modify to monitor your environment in its early stages, which will help you determine if any changes are needed. Keep in mind that increasing your monitoring capabilities will affect the amount of disk space that your usage database will require. Once the environment is stable and this detailed monitoring is no longer required, you may want to reverse the settings below to their defaults.

Setting	Value	Notes
Event Log Flooding Protection	Disabled	The default value is Enabled. It can be disabled to collect as much monitoring data as possible. For normal operations, it should be enabled.
Timer Job Schedule
Microsoft SharePoint Foundation Usage Data Import	5 minutes	The default value is 30 minutes. Lowering this setting imports the data into the usage database more frequently, and is particularly useful when troubleshooting. For normal operations, it should be 30 minutes.
Diagnostic Providers
Enable all diagnostic providers	Enabled	The default value is Disabled except for the "Search Health Monitoring - Trace Events" provider. These providers collect health data for various features and components. For normal operations, you may want to revert to the default.
Set "job-diagnostics-performance-counter-wfe-provider" and "job-diagnostics-performance-counter-sql-provider" Schedule Intervals	1 minute	The default value is 5 minutes. Lowering this setting can poll data more frequently, and is particularly useful when troubleshooting. For normal operations, it should be 5 minutes.
Miscellaneous
Enable stack tracing for content requests	Enabled	The default value is Disabled. Enabling this setting allows diagnosis of content requests failures using the process stack trace. For normal operations, it should be disabled.
Enable the Developer Dashboard	Enabled	The default value is Disabled. Enabling this setting allows diagnosis of slow pages, or other problems by using the Developer Dashboard. For normal operations, and once troubleshooting is no longer necessary, it should be disabled.
Usage Data Collection
Content Import Usage Content Export Usage Page Requests Feature Use Search Query Use Site Inventory Usage Timer Jobs Rating Usage	Enabled	Enabling the logging of this set of counters allows you to collect more usage data across the environment and to better understand the traffic patterns in the environment.

Performance Counters

If you are making use of the usage database, then you can add the performance counters that assist you in monitoring and evaluating your farm's performance to the usage database, such that they are logged automatically at a specific interval (30 minutes by default). Given that, you can query the usage database to retrieve these counters and graph the results over time. Here's an example of using the Add-SPDiagnosticsPerformanceCounter PowerShell cmdlet to add the % Processor Time counter to the usage database. This only needs to be run on one of the Web servers:

Add-SPDiagnosticsPerformanceCounter -Category "Processor" -Counter "% Processor Time" -Instance "_Total" -WebFrontEnd

There are a number of generic performance counters that you should monitor for any server system. The following table outlines these performance counters.

Performance Counter	Description
Processor	You should monitor processor performance to ensure that all processor usage does not remain consistently high (over 80 percent) as this indicates that the system would not be able to handle any sudden surges of activity. And that in the common state, you will not see a domino effect if one component failure will bring the remaining components to a malfunctioning state. For example – if you have three Web servers, you should make sure the average CPU across all servers is under 60% so that if one fails, there is still room for the other two to pick up the extra load.
Network Interface	Monitor the rate at which data is sent and received via the network interface card. This should remain below 50 percent of network capacity.
Disks and Cache	There are a number of logical disk options that you should monitor regularly. The available disk space is essential in any capacity study, but you should also review the time that the disk is idle. Dependent on the types of applications or services you are running on your servers, you may review disk read and write times. Extended queuing for write or read function will affect performance. The cache has a major impact on read and write operations. You must monitor for increased cache failures.
Memory and Paging File	Monitor the amount of physical memory available for allocation. Insufficient memory will lead to excessive use of the page file and an increase in the number of page faults per second.

System Counters

The following table provides information on system objects and counters that you could add to the set of counters monitored in the usage database using the SPDiagnosticPerformanceCounter on a web server.

Objects and Counters	Description
Processor
% Processor Time	This shows processor usage over a period of time. If this is consistently too high, you may find performance is adversely affected. Remember to count "Total" in multiprocessor systems. You can measure the utilization on each processor as well, to ensure balanced performance between cores.
Disk
- Avg. Disk Queue Length	This shows the average number of both read and write requests that were queued for the selected disk during the sample interval. A bigger disk queue length may not be a problem as long as disk reads/writes are not suffering and the system is working in a steady state without expanding queuing.
Avg. Disk Read Queue Length	The average number of read requests that are queued.
Avg. Disk Write Queue Length	The average number of write requests that are queued.
Disk Reads/sec	The number of reads to disk per second.
Disk Writes/sec	The number of writes to disk per second.
Memory
- Available Mbytes	This shows the amount of physical memory available for allocation. Insufficient memory will lead to excessive use of the page file and an increase in the number of page faults per second.
- Cache Faults/sec	This counter shows the rate at which faults occur when a page is sought in the file system cache and is not found. This may be a soft fault, when the page is found in memory, or a hard fault, when the page is on disk. The effective use of the cache for read and write operations can have a significant effect on server performance. You must monitor for increased cache failures, indicated by a reduction in the Async Fast Reads/sec or Read Aheads/sec.
- Pages/sec	This counter shows the rate at which pages are read from or written to disk to resolve hard page faults. If this rises, it indicates system-wide performance problems.
Paging File
- % Used and % Used Peak	The server paging file, sometimes called the swap file, holds "virtual" memory addresses on disk. Page faults occur when a process has to stop and wait while required "virtual" resources are retrieved from disk into memory. These will be more frequent if the physical memory is inadequate.
NIC
- Total Bytes/sec	This is the rate at which data is sent and received via the network interface card. You may need to investigate further if this rate is over 40-50 percent network capacity. To fine-tune your investigation, monitor Bytes received/sec and Bytes Sent/sec.
Process
- Working Set	This counter indicates the current size (in bytes) of the working set for a given process. This memory is reserved for the process, even if it is not in use.
- % Processor Time	This counter indicates the percentage of processor time that is used by a given process.
Thread Count (_Total)	The current number of threads.
ASP.NET
Requests Total	The total number of requests since the service was started.
Requests Queued	Microsoft SharePoint Foundation 2010 provides the building blocks for HTML pages that are rendered in the user browser over HTTP. This counter shows the number of requests waiting to be processed.
Request Wait Time	The number of milliseconds that the most recent request waited in the queue for processing. As the number of wait events increases, users will experience degraded page-rendering performance.
Requests Rejected	The total number of requests not executed because of insufficient server resources to process them. This counter represents the number of requests that return a 503 HTTP status code, indicating that the server is too busy.
Requests Executing (_Total)	The number of requests currently executing.
Requests/Sec (_Total)	The number of requests executed per second. This represents the current throughput of the application. Under constant load, this number should remain within a certain range, barring other server work (such as garbage collection, cache cleanup thread, external server tools, and so on).
.NET CLR Memory
# Gen 0 Collections	Displays the number of times the generation 0 objects (that is, the youngest, most recently allocated objects) are garbage collected since the application started. This number is useful as a ratio of #Gen 0: #Gen 1: #Gen 2 to make sure that the number of Gen 2 collections does not greatly exceed Gen 0 collections, optimally by a factor of 2.
# Gen 1 Collections	Displays the number of times the generation 1 objects are garbage collected since the application started.
# Gen 2 Collections	Displays the number of times the generation 2 objects are garbage collected since the application started. The counter is incremented at the end of a generation 2 garbage collection (also called a full garbage collection).
% Time in GC	Displays the percentage of elapsed time that was spent performing a garbage collection since the last garbage collection cycle. This counter usually indicates the work done by the garbage collector to collect and compact memory on behalf of the application. This counter is updated only at the end of every garbage collection. This counter is not an average; its value reflects the last observed value. This counter should be under 5% in normal operation.

SQL Server Counters

The following table provides information on SQL Server objects and counters.

Objects and Counters	Description
General Statistics	This object provides counters to monitor general server-wide activity, such as the number of current connections and the number of users connecting and disconnecting per second from computers running an instance of SQL Server.
User Connections	This counter shows the amount of user connections on your instance of SQL Server. If you see this number rise by 500 percent from your baseline, you may see a performance reduction.
Databases	This object provides counters to monitor bulk copy operations, backup and restore throughput, and transaction log activities. Monitor transactions and the transaction log to determine how much user activity is occurring in the database and how full the transaction log is becoming. The amount of user activity can determine the performance of the database and affect log size, locking, and replication. Monitoring low-level log activity to gauge user activity and resource usage can help you to identify performance bottlenecks.
Transactions/sec	This counter shows the amount of transactions on a given database or on the entire SQL Server instance per second. This number is to help you create a baseline and to help you troubleshoot issues.
Locks	This object provides information about SQL Server locks on individual resource types.
Number of Deadlocks/sec	This counter shows the number of deadlocks on the SQL Server per second. This should normally be 0.
Average Wait Time (ms)	This counter shows the average amount of wait time for each lock request that resulted in a wait.
Lock Wait Time (ms)	This counter shows the total wait time for locks in the last second.
Lock Waits/sec	This counter shows the number of locks per second that could not be satisfied immediately and had to wait for resources.
Latches	This object provides counters to monitor internal SQL Server resource locks called latches. Monitoring the latches to determine user activity and resource usage can help you to identify performance bottlenecks.
Average Latch Wait Time (ms)	This counter shows the average latch wait time for latch requests that had to wait.
Latch Waits/sec	This counter shows the number of latch requests per second that could not be granted immediately.
SQL Statistics	This object provides counters to monitor compilation and the type of requests sent to an instance of SQL Server. Monitoring the number of query compilations and recompilations and the number of batches received by an instance of SQL Server gives you an indication of how quickly SQL Server is processing user queries and how effectively the query optimizer is processing the queries.
SQL Compilations/sec	This counter indicates the number of times the compile code path is entered per second.
SQL Re-Compilations/sec	This counter indicates the number of times statement recompiles are triggered per second.
Plan Cache	This object provides counters to monitor how SQL Server uses memory to store objects such as stored procedures, ad hoc and prepared Transact-SQL statements, and triggers.
Cache Hit Ratio	This counter indicates the ratio between cache hits and lookups for plans.
Buffer Cache	This object provides counters to monitor how SQL Server uses memory to store data pages, internal data structures, and the procedure cache, as well as counters to monitor the physical I/O as SQL Server reads and writes database pages.
Buffer Cache Hit Ratio	This counter shows the percentage of pages found in the buffer cache without having to read from disk. The ratio is the total number of cache hits divided by the total number of cache lookups since an instance of SQL Server was started.

Removing Bottlenecks

System bottlenecks represent a point of contention where there are insufficient resources to service user transaction requests. These may be physical hardware, operating environment, or application-based. Often, the reason for the bottleneck will be inefficient custom code or 3rd party solutions, and a review of those could yield better results than adding hardware. Another common cause for bottlenecks is a misconfiguration of the farm, or an inefficient solution implementation that structures data in a way that requires more resources than necessary. For a system administrator, it is essential to manage bottlenecks by constantly monitoring performance. When you identify a performance issue, you must assess the best resolution for removing the bottleneck. The performance counters and other performance monitoring applications, such as System Center Operations Manager (SCOM), are the key tools in tracking and analyzing problems, so that you can develop a solution.

Physical Bottleneck Resolution

Physical bottlenecks are based on processor, disk, memory, and network contention: too many requests are contending for too few physical resources. The objects and counters described in the Monitoring Performance topic indicate where the performance problem is located, for example, hardware processor or ASP.NET. Bottleneck resolution requires that you identify the issue and then make a change or changes that mitigate the performance problem.

Problems seldom happen instantaneously; there is usually a gradual performance degradation that you can track if you monitor regularly, using your performance monitor tool or a more sophisticated system, such as SCOM. For both of these options, to varying degrees, you can embed solutions within an alert, in the form of advisory text or scripted commands.

You may have to resolve bottleneck issues by making changes to hardware or system configurations, once you have determined that they are not caused by a misconfiguration, inefficient custom code or third party solutions, or inefficient solution implementation. The following tables identify problem threshold and possible resolution options. Some of the options suggest hardware upgrades or modifications.

Objects and Counters	Problem	Resolution Options
Processor
Processor - % Processor Time	Over 75-85%	Upgrade processor Increase number of processors Add additional server(s)
Disk
Avg. Disk Queue Length	Gradually increasing, system not in a steady state and queue is backing up	Increase number or speed of disks Change array configuration to stripe Move some data to an alternative server
% Idle Time	Less than 90%	Increase number of disks Move data to an alternative disk or server
% Free Space	Less than 30%	Increase number of disks Move data to an alternative disk or server
Memory
Available Mbytes	Less than 2GB on a Web server.	Add memory. Note SQL server available memory will be low, by design, and does not always indicate a problem.
Cache Faults/sec	Greater than 1	Add memory Increase cache speed or size if possible Move data to an alternative disk or server
Pages/sec	Greater than 10	Add memory
Paging File
% Used and % Used Peak	The server paging file, sometimes called the swap file, holds "virtual" memory addresses on disk. Page faults occur when a process has to stop and wait while required "virtual" resources are retrieved from disk into memory. These will be more frequent if the physical memory is inadequate.	Add memory
NIC
Total Bytes/sec	Over 40-50% of network capacity. This is the rate at which data is sent and received via the network interface card.	Investigate further by monitoring Bytes received/sec and Bytes Sent/sec. Reassess network interface card speed Check number, size, and usage of memory buffers
Process
Working Set	Greater than 80% of total memory	Add memory
% Processor Time	Over 75-85%.	Increase number of processors Redistribute workload to additional servers
ASP.NET
Application Pool Recycles	Several per day, causing intermittent slowness.	Make sure that you have not implemented settings that automatically recycle the application pool unnecessarily throughout the day.
Requests Queued	Hundreds or thousands of requests queued.	Implement additional Web servers The default maximum for this counter is 5,000, and you can change this setting in the Machine.config file
Request Wait Time	As the number of wait events increases, users will experience degraded page rendering performance.	Implement additional Web servers
Requests Rejected	Greater than 0	Implement additional Web servers

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