This section describes the reports used for performance analysis by category.
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
VMware (Cluster) | H |
| The CPU usage and memory usage for the cluster is displayed. This graph makes it easy to see which cluster is using the CPU or memory. Point It is possible to track CPU and memory usage by cluster. It is also possible to track CPU, memory, and disk by displaying "VMware (Virtual host)". |
VMware (Resource pool) | H |
| The CPU usage and memory usage for the resource pool is displayed. This graph makes it easy to see which resource pool is using the CPU or memory. Point It is possible to track CPU and memory usage by resource pool. It is also possible to track CPU, memory, and disk by displaying "VMware (Virtual host)". When virtual resources are running low and physical resources are available, the manager can see which resource pools are using the resources in this report and reallocate resources if necessary. |
VMware (Host) | G |
| Check the usage status of the physical CPU, memory, and disks. |
VMware (Virtual machine) | H |
| CPU usages by guest operating systems are stacked for display. This graph makes it easy to see which guests are using the CPU. |
| Memory usages by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the memory. | ||
| Disk I/O by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the disk. | ||
Point Monitoring guest operating systems with Agents enables the system manager to see what is happening with virtual CPUs, memories, and disks. It is also possible to track physical CPU, memory, and disk by displaying "VMware (Virtual host)". When virtual resources are running low and physical resources are available, the manager can see in this report which guests are using the resources and reallocate resources if necessary. Note With VMware ESX (ssh connection), the name of the Service console or kernel driver may be included as part of the virtual machine name. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Windows server | G |
| Track and compare trends and peaks in the usage status of CPU, disk, and memory. |
HyperV (Host) | G |
| Track how much the physical CPU is being used and how much is available. It is possible to see information on the physical memory and disk by displaying the free memory and physical disk busy rate for "Windows Server". |
HyperV (Virtual machine) | H |
| CPU usages by guest operating systems are stacked for display. This graph makes it easy to see which guests are using the CPU. |
| Memory usages by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the memory. | ||
Point Monitoring guest operating systems with Agents enables the system manager to see what is happening with virtual CPUs and memories. It is also possible to track physical CPU by displaying "HyperV (Virtual host)", and track the physical memory by displaying "Windows Server". When virtual resources are running low and physical resources are available, the manager can see in this report which guests are using the resources and reallocate resources if necessary. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
UNIX server | G |
| Track and compare trends and peaks in the use of the CPU, disk, and memory for the servers registered in the system group. |
KVM (Virtual machine) | H |
| CPU usages by guest operating systems are stacked for display. This graph makes it easy to see which guests are using the CPU. |
| Memory usages by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the memory. | ||
| Disk I/O by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the disk. | ||
Point Monitoring guest operating systems with Agents enables the system manager to see what is happening with virtual CPUs, memories, and disks. It is also possible to track the physical CPU, memory, and disk by displaying "UNIX Server". When virtual resources are running low and physical resources are available, the manager can see in this report which guests are using the resources and reallocate resources if necessary. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
UNIX server | G |
| Track and compare trends and peaks in the use of the CPU, disk, and memory for the servers registered in the system group. |
Xen (Virtual machine) | H |
| CPU usages by guest operating systems are stacked for display. This graph makes it easy to see which guests are using the CPU. |
| Memory usages by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the memory. | ||
| Disk I/O by guest operating systems are stacked for display. This graph makes it easy to see which guest is using the disk. | ||
Point Monitoring guest operating systems with Agents enables the system manager to see what is happening with virtual CPUs, memories, and disks. It is also possible to track the physical CPU, memory, and disk by displaying "UNIX Server". When virtual resources are running low and physical resources are available, the manager can see in this report which guests are using the resources and reallocate resources if necessary. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
UNIX server | G |
| Track and compare trends and peaks in the use of the CPU, disk, and memory for the servers registered in the system group. |
Solaris Zone (Virtual machine) | H |
| CPU usage rates by zones are stacked for display. This graph makes it easy to see which zone is using the CPU. |
| Memory usage by zones are stacked for display. This graph makes it easy to see which zone is using the memory. | ||
Point It is possible to track CPU and memory usage by zone. It is also possible to track the Global Zone CPU, memory, and disk by displaying "UNIX Server". When zone resources are running low and physical resources are available, the manager can see in this report which zones are using the resources and reallocate resources if necessary. |
This category is not displayed by default. Refer to the point in "4.1 Types of Categories" if displayed.
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Solaris Zone(Solaris 10) | G |
| Check the status of Solaris Zone resources for the servers registered in the system group. Point If Solaris zones are bound to processor sets, the CPU usage rate will be 100% for each processor set. |
Solaris Zone(Solaris 10) CPU | H |
| Track trends and peaks for CPU usage rates in Solaris zones. Point If Solaris zones are bound to processor sets, the CPU usage rate will be 100% for each processor set. |
| Track trends and peaks for CPU usage times in Solaris zones. | ||
Solaris Zone(Solaris 10) memory | H |
| Track trends and peaks for memory usage rates in Solaris zones. |
| Track trends and peaks for virtual memory size in Solaris zones. | ||
| Track trends and peaks for real memory size in Solaris zones. | ||
Solaris Zone(Solaris 10) CPU (Contour) | H |
| The rise and fall of CPU usage rates is represented by contour lines. Visually track and compare trends and peaks in CPU usage rates. This analysis is based on long-term data usage of approximately one month. Point If Solaris zones are bound to processor sets, the CPU usage rate will be 100% for each processor set. |
Solaris Zone(Solaris 10) memory (Contour) | H |
| The rise and fall of memory usage rates is represented by contour lines. Visually track and compare trends and peaks in memory usage rate. This analysis is based on long-term data usage of approximately one month. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Centric Manager traffic | H |
| Track and compare trends and peaks in the line utilization rate. |
| Track and compare trends and peaks in the number of octets. | ||
Centric Manager packet | H |
| Track and compare trends and peaks in the number of packets. |
| It can be used to identify interfaces that have a large number of packets that cannot be sent for reasons other than data errors (insufficient buffer size, etc). | ||
| It can be used to identify interfaces that have a large number of packets that cannot be sent because of data errors. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Network Manager network traffic | H |
| These items display the average and maximum network traffic values, and the time when the maximum traffic occurred. Use the displayed report to locate and correct problems. |
Network Manager CPU load | H |
| This item displays the average and maximum CPU usage rates, and the time when the maximum CPU usage occurred. Use the displayed report to locate and correct problems. |
Network Manager collision | H |
| This item displays the average and maximum numbers of collisions, and the time when the maximum number of collisions occurred. Use the displayed report to locate and correct problems. |
Network Manager CRC error | H |
| This item displays the average and maximum numbers of CRC errors, and the time when the maximum number of CRC errors occurred. Use the displayed report to locate and correct problems. |
Network Manager drop packet | H |
| These items display the average and maximum numbers of dropped packets, and the time when the maximum number of dropped packets occurred. Use the displayed report to locate and correct problems. |
Network Manager transfer packet | H |
| These items display the average and maximum numbers of sent and received packets, and the time when the maximum number of sent and received packets occurred. Use the displayed report to locate and correct problems. |
Network Manager discard packet | H |
| These items display the average and maximum numbers of discarded packets, and the time when the maximum number of discarded packets occurred. Use the displayed report to locate and correct problems. |
Network Manager error packet | H |
| These items display the average and maximum numbers of error packets, and the time when the maximum number of error packets occurred. Use the displayed report to locate and correct problems. |
Network Manager IP operating rates | H |
| This item displays the average IP operating rate, the downtime length and the downtime frequency. Use the displayed report to locate and correct problems. |
Network Manager RTT | H |
| These items display the average and maximum RTT values, and the average and maximum ping loss rates. Use the displayed report to locate and correct problems. |
This category is not displayed by default. Refer to the point in "4.1 Types of Categories" if displayed.
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
TcpNetwork | H |
| If application processing performance is slow even though there are no problems with server resources (CPU, memory, disk), network performance may be causing a bottleneck. |
| Take the appropriate action with reference to the graph. | ||
| Take the appropriate action with reference to the graph. | ||
| Take the appropriate action with reference to the graph. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Storage CM CPU usage rate | H |
| Track and compare trends and peaks in the CM (Controller Module) CPU usage rate. When the CPU usage rate of one or more CMs is 85% or greater, and the CPU usage rates of the remaining CMs are 75% or greater, there is the possibility that all CMs are under a high load. |
Storage CM (ROE) CPU usage rate | H |
| Track and compare trends and peaks in the CM (Controller Module) ROE usage rate. When the ROE usage rate is high, it is likely that there have been a massive number of accesses to encrypted volumes or to RAID6. When the ROE usage rate is low, and the CM CPU usage rate is high, it is likely that there have been a massive number of accesses to unencrypted volumes or to RAIDGroups other than those at the RAID6 level. |
Storage disk busy | H |
| Track and compare trends and peaks in the disk usage rate. When the disk usage rate is 80% or greater, high-load applications may be concentrated in the same RAID group. Alternatively, the RAID configuration of the relevant RAID group may not be suitable. |
Storage throughput | H |
| Track and compare trends and peaks in the throughput. |
Storage IOPS | H |
| Track and compare trends and peaks in the IOPS. |
Storage response time | H |
| Track and compare trends and peaks in response times. |
Storage cache hit rate | H |
| Track and compare trends and peaks in the cache hit rate. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
NAS CPU usage rate | H |
| Track and compare trends and peaks in CPU usage rates. |
NAS NFS OPS | H |
| Track and compare trends and peaks in NFS handling performance. |
NAS CIFS OPS | H |
| Track and compare trends and peaks in CIFS processing performance. |
NAS HTTP OPS | H |
| Track and compare trends and peaks in HTTP processing performance. |
NAS network traffic | H |
| Track and compare trends and peaks in network traffic. |
NAS Amount of DISK R/W data | H |
| Track and compare trends and peaks in disk read and write data amounts. |
NAS Amount of tape R/W data | H |
| Track and compare trends and peaks in tape read and write data amounts. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Windows server | G |
| Check the status of resource usage for the servers registered in the system group. |
Windows CPU | H |
| Track and compare trends and peaks in CPU usage rates. If the CPU usage rate consistently exceeds 80%, a CPU bottleneck may be degrading performance, or such a problem may be about to occur. It is necessary to consider taking actions such as increasing or upgrading the CPUs, adjusting the application execution schedule, or relocating some applications to a different server. Warning level: CPU usage rate > 80% |
| If the number of CPU queue requests is consistently high, increasing the number of CPUs may be more effective than upgrading the CPU. Conversely, if the CPU usage rate is high when there are no queue requests, it indicates that the CPU performance is not enough to handle single processes, so a processor upgrade is recommended. Warning level: CPU queue length > 2 | ||
Windows physical disks | H |
| Track and compare trends and peaks in load for each disk. If the physical disk busy rate continuously exceeds 60%, the disk load is causing a bottleneck and performance problems are either occurring now or may occur in the future. Warning level: Physical disk busy >= 60% |
| Track and compare trends and peaks of I/O requests for each disk. If the number of physical disk queue requests is two or more, the disk load is causing a bottleneck and performance problems are either occurring now or may occur in the future. It is necessary to take actions such as distributing the disk load or adding disks. Warning level: Number of physical disk queue requests >= 2 | ||
Windows disk space | H |
| Track and compare trends and peaks usage of each disk. |
Windows memory | H |
| Track and compare trends and peaks in free memory amount. If the amount of available memory space approaches 4 MB intermittently, insufficient memory is causing a bottleneck, and performance problems are either occurring now or may occur in the future. Warning level: Available memory capacity < 4 MB |
| Refer to the graph when responding to paging. | ||
Windows process | H |
| This graph makes it possible to identify processes that consume too much CPU time. |
| A cumulative graph showing the size of the working set used by different processes. In the case of a computer that has a high rate of physical memory usage rate, this analysis makes it possible to identify which processes consume a large amount of physical memory. | ||
| A cumulative graph of the pagefile required for different processes. In the case of a computer that has a high rate of virtual memory usage, this analysis makes it possible to identify which processes consume a large amount of virtual memory. | ||
Windows CPU (Contour) | H |
| The rise and fall of the CPU usage rate is represented by contour lines. Visually track and compare trends and peaks in CPU usage rates. This analysis is based on long-term data usage of approximately one month. |
Windows physical disk (Contour) | H |
| The rise and fall of the physical disk busy rate is represented by contour lines. Visually track and compare trends and peaks in the physical disk busy rate. This analysis is based on long-term data usage of approximately one month. |
Windows memory (Contour) | H |
| The rise and fall of available memory capacity is represented by contour lines. Visually track and compare trends and peaks available memory capacity. This analysis is based on long-term data usage of approximately one month. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
UNIX server | G |
| Check the status of resource usage for the servers registered in the system group. |
UNIX CPU | H |
| Track and compare trends and peaks in CPU usage rates. If the CPU usage rate consistently exceeds 80%, a CPU bottleneck may be degrading performance, or such a problem may be about to occur. It is necessary to consider taking actions such as increasing or upgrading the CPUs, adjusting the application execution schedule, or relocating some applications to a different server. Warning level: CPU usage rate > 80% |
| If CPU queue length > 10 or if CPU execution wait time rate > 90% or more, and (the number of queue requests) divided by (the number of processors) > 2, response may be being degraded because multiple processes are waiting for CPU allocation. If it is not possible to perform interactive job tuning or to restrict the number of concurrent processes, the user should consider increasing the number of CPUs. If CPU execution wait time rate > 90% and the number of queue requests < 1, a single program may be monopolizing the CPU. If there are no problems with the interactive job response, etc, there is no need to perform tuning. If there is a problem, lower the priority of the program that is monopolizing the CPU. Note that if there are any other resources that are experiencing a bottleneck, increasing the number of CPUs is unlikely to improve the situation. Warning level: CPU execution wait time rate > 90 and Requests count < 1 Note This information is displayed when a Solaris server is analyzed and reported. | ||
UNIX physical disk | H |
| Track and compare trends and peaks in load for each disk. Disk access wait times start to become noticeable when the physical disk busy rate exceeds 60%. When this rate reaches 80%, wait times, including the average access times, may start to become two to three times longer than normal. When the trend is towards 80% or higher, there is more than likely a bottleneck being caused by disk load. Bottlenecks caused by disk load can be diagnosed from the following items. You will need to consider taking actions to reduce the load, such as increasing the number of disks, or moving files to disk devices that have a lower load rate (i.e., review the disposition of data): Disk busy Service times in disk access Disk Queue Warning level: Disk Busy rate >= 60% and Service Time >= 30(ms) and Number of disk queue requests >= 2 |
| Service time is defined as the average time required to completely process a single I/O request. This time also includes the time spent waiting for the completion of processing of requests in the I/O queue. Warning level: Service Time >= 30(ms) | ||
| Track and compare trends and peaks of I/O requests for each disk. When the service time in disk access is equal to or greater than 30 ms, and there are a large number of requests waiting, it is likely that there is a concentration of access requests to the disk. Review the disposition of data. When the service time in disk access is equal to or greater than 30 ms, and there are not a large number of requests waiting, it is likely that there are disk devices with high loads connected within the same controller. Warning level: Service Time >= 30(ms) and Number of disk queue requests < 2 | ||
UNIX disk space | H |
| Track and compare trends and peaks usage of each disk. |
UNIX memory | H |
| Track and compare trends and peaks in available memory capacity. If the amount of available memory space approaches the lotsfree kernel parameter (units: KB) intermittently, insufficient memory is causing a bottleneck, and performance problems are either occurring now or may occur in the future. Warning level: Available memory capacity < lotsfree |
| When swap-in is occurring: There is no problem because the memory insufficiency is temporary and swapped out processes are just being swapped in. When swap-out is occurring: There is no problem because the memory insufficiency is temporary and only unnecessary processes are swapped out. These phenomena occur due to a large amount of processes being generated temporarily. When both are occurring: Currently swapping should not normally occur with UNIX. There may be a severe memory insufficiency which requires an increase in memory. Note This information is displayed when a Solaris server is analyzed and reported. | ||
UNIX process | H |
| This graph makes it possible to identify processes that consume too much CPU time. |
| A cumulative graph showing the memory usage rate of different processes. Determine which process is the cause of memory insufficiencies that occur. Note The graph showing the top ten processes using memory is not displayed in Linux. | ||
UNIX CPU (Contour) | H |
| The rise and fall of the CPU usage rate is represented by contour lines. Visually track and compare trends and peaks in CPU usage rates. This analysis is based on long-term data usage of approximately one month. |
UNIX physical disk (Contour) | H |
| The rise and fall of the physical disk busy rate is represented by contour lines. Visually track and compare trends and peaks in the physical disk busy rate. This analysis is based on long-term data usage of approximately one month. |
UNIX memory (Contour) | H |
| The rise and fall of available memory capacity is represented by contour lines. Visually track and compare trends and peaks in memory usage. This analysis is based on long-term data usage of approximately one month. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Disk space | G |
| Check the status of disk usage for the servers registered in the system group. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Web transaction | G |
| Track and compare trends and peaks in the number of requests for each service and the time used for the requests. If the number of requests in each service, or the time required by requests exceeds the expected value, the user can consider taking actions such as adding another Web server. |
Web transaction request | H |
| Track and compare trends and peaks in traffic volume for each service. If the volume of traffic exceeds the expected value, the user can consider taking actions such as adding another Web server. |
Web transaction hitserver | H |
| Track the occurrence of server hits in each service. |
Web transaction hitclient | H |
| Track the occurrence of client hits in each service. |
Web transaction hitremote | H |
| Track the occurrence of remote hits in each service. |
Web transaction traffic | H |
| Track and compare trends and peaks in traffic volume for each service. If the volume of traffic exceeds the expected value, the user can consider taking actions such as adding another Web server. |
Web transaction error | H |
| Track the occurrence of errors in each service. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Interstage IJServer Cluster | G |
| Check the JavaVM heap and Perm area usage amount, and garbage collection occurrences for the servers registered in the system group. |
Interstage IJServer Cluster JVM | H |
| Displays Java VM heap information. Track and compare trends and peaks in the heap information. |
| Displays Java VM Perm area information. Track and compare trends and peaks in Perm area information. | ||
| Displays Java VM Garbage collection information. Track the occurrence of Garbage collections. | ||
Interstage IJServer Cluster JTA | H |
| Displays information about transactions used by applications. Track and compare trends and peaks in transaction counts. |
Interstage IJServer Cluster JDBC | H |
| Information about JDBC connections that are pooled by Interstage. Track and compare trends and peaks in connection counts. |
| When an attempt is made to obtain a connection from the pool but the maximum number of connections has already been reached, the system will wait for the connection timeout period until a connection is returned. This information relates to waiting for the connection to be returned. Track and compare trends and peaks in the frequency of connection waiting and the number of threads that are waiting for a connection. | ||
Interstage IJServer Cluster Thread Pool | H |
| The number of work items in the queue. Track the number of work items in a queue. |
| This is the total number of busy threads in a thread pool. Track the total number of busy threads in a thread pool. | ||
| This is statistical information about the average completion time of work items. Track the average completion time of work items. | ||
| This is the total number of usable threads in a thread pool. Track the total number of usable threads in a thread pool. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Interstage(EJB) | G |
| Check the processing times for EJB applications of the servers registered in the system group. |
Interstage(TD) | G |
| Check the processing times for transaction applications of the servers registered in the system group. |
Interstage (CORBA) | G |
| Check the processing times for CORBA applications of the servers registered in the system group. |
Interstage(IJServer) | G |
| Check the size used by the heap and Perm area of the JavaVM of the servers registered in the system group. |
Interstage EJB application | H |
| The maximum, minimum and average processing times for EJB applications.
|
| The maximum, minimum and average times from when a client receives a request until a method commences processing.
| ||
| The cumulative number of processes that have been handled by the object since performance monitoring began, and the maximum number of requests that had to await processing by the object.
| ||
| Maximum and average values of the amount of VM memory used. If a large amount of VM memory is being used, there may be a memory leak. Review the server applications with a view to identifying objects that can be deleted. | ||
| The number of current EJB objects. If the number of EJB objects has become larger than the number of connected (deployed) clients, this means that EJB objects may not have been removed when each session was disconnected, for every EJB object created when the session was established. If this is the case, make sure that each EJB object is removed when the session is disconnected. | ||
Interstage CORBA application | H |
| The maximum, minimum and average processing times for CORBA applications.
|
| The maximum, minimum and average times from when a client receives a request until an operation commences processing.
| ||
| The cumulative number of processes that have been handled by the object since performance monitoring began, and the maximum number of requests that had to await processing by the object.
| ||
Interstage transaction application | H |
| The maximum, minimum, and average processing times for transaction applications.
|
| The maximum, minimum and average times from when a client receives a request until an object commences processing.
| ||
| The cumulative number of processes that have been handled by the object since performance monitoring began, and the maximum number of requests that had to await processing by the object.
| ||
Interstage IJServer JVM | H |
| Track and compare trends and peaks in Java VM heap information. |
| Track and compare trends and peaks in Java VM Perm area information. | ||
| Track and compare trends and peaks in the number of occurrences of Garbage collection in Java VM. | ||
Interstage IJServer JTA | H |
| Displays information about transactions used by applications. Track and compare trends and peaks in transaction counts. |
Interstage IJServer JDBC | H |
| Information about JDBC connections that are pooled by Interstage. Track and compare trends and peaks in connection counts. |
| When an attempt is made to obtain a connection from the pool but the maximum number of connections has already been reached, the system will wait for the connection timeout period until a connection is returned. This information relates to waiting for the connection to be returned. Track and compare trends and peaks in the frequency of connection waiting and the number of threads that are waiting for a connection. | ||
| Information about established connections and discarded connections. Track and compare trends and peaks in the number of established connections. | ||
| Information about connections used by applications. Track and compare trends and peaks in the number of established connections, etc. | ||
Interstate IJSserver SERVLET CONTAINER | H |
| Information about the total number of threads. Track and compare trends and peaks in thread counts. |
| Information about the number of threads currently being processed. Track the number of threads currently being processed. | ||
Interstate IJSserver SERVLET WEBMODULE | H |
| Check the number of valid sessions. |
Interstage IJSserver EVENT SERVICE | H |
| Check the number of connected consumers. |
| Check the number of connected suppliers. | ||
| Check the number of accumulated event data items. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
WebLogic Server | G |
| Check the JavaVM heap information for the servers registered in the system group and number of occurrences of Garbage collections. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
MS-.NET | G |
| Check the number of requests and the request queue status for the servers registered in the system group. |
MS-.NET ASP.NET | H |
| Track the number of MS-.NET requests waiting to be processed.
|
| Track the number of MS-.NET application reboots. Take the appropriate action with reference to the graph. | ||
| Track the MS-.NET worker process reboot count. Take the appropriate action with reference to the graph. | ||
MS-.NET Applications | H |
| Track the number of MS-.NET transactions. Take the appropriate action with reference to the graph. |
| Track the number of MS-.NET execution requests. Take the appropriate action with reference to the graph. | ||
| Track the number of active MS-.NET sessions. Take the appropriate action with reference to the graph. | ||
| Track the total number of MS-.NET errors. Take the appropriate action with reference to the graph. | ||
MS-.NET Remote procedure | H |
| Track the total number of remote procedure calls for MS-.NET. Take the appropriate action with reference to the graph. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
SAP | G |
| Check the Dialog response time, number of Enqueue requests and queue length, background usage rate, and number of RFC calls waiting for execution on SAP on the servers registered in the system group. |
SAP Enqueue(Request) | H |
| Track and compare trends and peaks in the number of enqueue requests. |
| Track and compare trends and peaks in the number of enqueue request errors. | ||
| Track and compare trends and peaks in the number of dequeue requests. | ||
| Track and compare trends and peaks in the number of dequeue request errors. | ||
| Track and compare trends and peaks in the time that parallel processes spend waiting to access lock tables. | ||
| Track and compare trends and peaks in the time spent in the enqueue server. | ||
| Track and compare trends and peaks in the time that the data collector (the RSCOLL00 program) spends executing. | ||
SAP Enqueue(QueLength) | H |
| Enqueue server monitoring object: Track and compare trends and peaks in queue length. |
| Track and compare trends and peaks in the usage rates for lock owners within lock tables. | ||
| Track and compare trends and peaks in the usage rates for lock arguments within lock tables. | ||
| Track and compare trends and peaks in the usage rates for elementary locks within lock tables. | ||
| Track and compare trends and peaks in the number of errors that occur with enqueue work processes. | ||
SAP Dialog | H |
| Track and compare trends and peaks in the response times for the Dialog Service. |
| Track and compare trends and peaks in front-end standby times. | ||
| Track and compare trends and peaks in the dispatcher standby times for each dialog step. | ||
| Track and compare trends and peaks in the load/generation times for GUI objects. | ||
| Track and compare trends and peaks in roll times. | ||
| Track and compare trends and peaks in the processing times for logical database requests. | ||
| Track and compare trends and peaks in the rate of load that Dialog processes place on the application server. | ||
| Track and compare trends and peaks in the number of Dialog steps. | ||
SAP Spool | H |
| Track and compare trends and peaks in the load rate for spool work processes. |
| Track and compare trends and peaks in the number of errors that occur with spool work processes. | ||
SAP Background | H |
| Track and compare trends and peaks in the load rate for background work processes. |
| Track and compare trends and peaks in the number of errors that occur with background work processes. | ||
SAP Update | H |
| SAP Update task V1: Track and compare trends and peaks in the response times for each Dialog Step. |
| SAP Update task V1: Track and compare trends and peaks in the dispatcher standby times in dispatcher queues. | ||
| SAP Update task V1: Track and compare trends and peaks in the load for update task work processes. | ||
| Track and compare trends and peaks in the number of errors that have occurred for Update 1 work processes. | ||
| SAP Update task V2: Track and compare trends and peaks in the load for update 2 task work processes. | ||
| Track and compare trends and peaks in the number of errors that have occurred for Update 2 work processes. | ||
SAP Roll Paging | H |
| Track and compare trends and peaks in the paging area usage rate. |
| Track and compare trends and peaks in the roll area usage rate. | ||
SAP Memory | H |
| Track and compare trends and peaks in the extended memory usage rate. |
| Track and compare trends and peaks in the heap memory usage rate. | ||
| Track and compare trends and peaks in the usage rate for EM management slots. | ||
| Track and compare trends and peaks in the number of work processes in PRIV mode. | ||
SAP Buffers | H |
| Track and compare trends and peaks in the buffer usage rate. |
This category is not displayed by default. Refer to the point in "4.1 Types of Categories" if displayed.
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Workload | H |
| Track and compare the amount of allocated CPU resources and the amount of used CPU resources for resource modules. Take the appropriate action with reference to the graph. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Symfoware | G |
| Check the buffer cache hit rate, number of deadlocks, and number of SQL executions in Symfoware on the servers registered in the system group. |
Symfoware shared buffer | H |
| The rate at which the shared buffer was hit (%). Fine-tune the shared buffer. Note that when application programs that mainly access a wide area of the table are executed without the addition of indexes, the on-buffer hit rate will become 0% or something similar, but this does not indicate a problem. |
| The number of times that no unused buffers were available. Fine-tune the shared buffer. | ||
Symfoware log area | H |
| The number of times that the recovery log overflowed and a checkpoint occurred. Check the size of the recovery log, and increase it as necessary. |
| Indicates if the transaction entries have been used up. Increase the number of transaction entries. | ||
| Indicates if the BI log area has been used up. Increase the size of the BI log area. | ||
Symfoware disk I/O | H |
| The number of I/O operations for each database space. Take the appropriate action with reference to the graph. |
Symfoware database space usage rate | H |
| Track and compare usage trends and peaks for each database space. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Oracle | G |
| Check the buffer cache hit rate and number of deadlocks on the Oracle servers registered in the system group. |
Oracle SGA | H |
| The role of buffer caches is to reduce the number of accesses to the disk (data files). Increase the value of the initialization parameter "DB_BLOCK_BUFFERS" or "DB_CACHE_SIZE" that specifies the size of the buffer cache. * "DB_CACHE_SIZE" is a new initialization parameter that was added in Oracle9i. * Pay attention to the remaining physical memory capacity. |
| The REDO log buffer cache stores the information that is written to the online REDO log. If processing to write to the REDO log buffer cache enters a wait state, increase the value of the initialization parameter "LOG_BUFFERS". If I/O processing performed from the REDO log buffer cache to a disk enters a wait state, move the REDO log file to a dedicated disk or a high-speed RAID device. If the REDO log file is located on the file system, consider using direct I/O or moving to a raw device. | ||
| The library cache stores the SQL statements that have been parsed and can be executed. Increase the value of the initialization parameter "SHARED_POOL_SIZE". Pay attention to the remaining physical memory capacity. | ||
| The dictionary cache stores data dictionary information such as the status of file space for database segments (indexes, sequence, tables, etc) and object permissions. Increase the value of the initialization parameter "SHARED_POOL_SIZE". Pay attention to the remaining physical memory capacity. | ||
Oracle PGA | H |
| Sorts should be performed in memory whenever possible. Sorting in memory is far quicker than using the disk. Increase the value of the initialization parameter "SORT_AREA_SIZE" or "PGA_AGGREGATE_TARGET". * "PGA_AGGREGATE_TARGET" is a new initialization parameter that was added in Oracle9i. * Pay attention to the remaining memory capacity. * Because changes to the above initialization parameter can change the execution plans for optimizing all SQL statements, be wary of changing the value, unless the memory sort hit rate has become a major problem. |
Oracle disk I/O | H |
| Displays the minimum value for the available tablespace capacity. Expand or add data files. |
| Displays the volume of database I/O. Take the appropriate action with reference to the graph. | ||
Oracle resource conflict | H |
| Ideally, rollback segment header waiting should be kept to zero or a very small amount. When rollback segments are being used, there are an insufficient number of rollback segments and some need to be added. * If the UNDO table space is being used in Oracle9i or later, tuning will take place automatically. |
Oracle table space usage rate | H |
| Track and compare trends and peaks in usage for each tablespace. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
MS-SQL | G |
| Check the buffer cache hit rate and number of deadlocks on SQL Servers on the servers registered in the system group. |
MS-SQL ACCESS METHOD | H |
| Track and compare MS-SQL access methods. Take the appropriate action with reference to the graph. |
MS-SQL Server BUFFER | H |
| Track the number of MS-SQL buffer cache hits. Take the appropriate action with reference to the graph. |
| Track the number of MS-SQL accesses. Take the appropriate action with reference to the graph. | ||
MS-SQL Server CMGR | H |
| Track MS-SQL cache hit rates. Take the appropriate action with reference to the graph. |
| Track the number of MS-SQL hits. Take the appropriate action with reference to the graph. | ||
MS-SQL Server DATABASES | H |
| Track the number of MS-SQL transactions. Take the appropriate action with reference to the graph. |
| Track the number of MS-SQL active transactions. Take the appropriate action with reference to the graph. | ||
| Track the MS-SQL log area ratio. Take the appropriate action with reference to the graph. | ||
MS-SQL Server GENERALSTATISTICS | H |
| Track the number of connected users for MS-SQL. Take the appropriate action with reference to the graph. |
MS-SQL Server LOCKS | H |
| Track the number of MS-SQL deadlocks. Take the appropriate action with reference to the graph. |
| Track the number of MS-SQL standby waiting lock requests. Take the appropriate action with reference to the graph. | ||
MS-SQL Server MEMORY | H |
| Track the memory capacity for MS-SQL. Take the appropriate action with reference to the graph. |
MS-SQL Server STATISTICS | H |
| Track the number of requests for MS-SQL batches. Take the appropriate action with reference to the graph. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Operation Manager | G |
| Check the multiplicity and jobs waiting for execution on the Systemwalker Operation Manager in the servers registered in the system group. |
Operation Manager subsystem | H |
| Track and compare trends and peaks in job multiplicity of each subsystem (Job multiplicity, Network/Distributed execution job multiplicity). If the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, review job schedules and reduce the level of concurrency. |
| Check deviations and peaks in the job net concurrency of different subsystems. | ||
| Track and compare trends and peaks in the number of pending jobs in different subsystems. If the number of pending jobs is large, review the job execution schedule. | ||
| Track and compare trends and peaks in the job execution wait times of different subsystems. If the execution wait time is long and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
| Track and compare trends and peaks in the number of jobs with execution time overruns in different subsystems. If the number of jobs with execution time overruns is large and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
| Track and compare trends and peaks in the number of completed jobs in different subsystems. The number of completed jobs by subsystem also includes the following number of error jobs by subsystem. | ||
| Track the number of error jobs in different subsystems. | ||
Operation Manager queue | H |
| Track and compare trends and peaks in job multiplicity of each Queue (Job multiplicity, Network/Distributed execution job multiplicity). If the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, review job schedules and reduce the level of concurrency. |
| Track and compare trends and peaks in the job net multiplicity of different queues. | ||
| Track and compare trends and peaks in the number of pending jobs in different queues. If the number of pending jobs is large, review the job execution schedule. | ||
| Track and compare trends and peaks in the job execution wait times of different queues. If the execution wait time is long and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
| Track and compare trends and peaks in the number of jobs with execution time overruns in different queues. If the number of jobs with execution time overruns is large and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
Operation Manager project | H |
| Track and compare trends and peaks in the job multiplicity of different projects. If the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, review job schedules and reduce the level of concurrency. |
| Track and compare trends and peaks in the job net multiplicity of different projects. | ||
| Track and compare trends and peaks in the number of pending jobs in different projects. If the number of pending jobs is large, review the job execution schedule. | ||
| Track and compare trends and peaks in the job execution wait times of different projects. If the execution wait time is long and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
| Track and compare trends and peaks in the number of jobs with execution time overruns in different projects. If the number of jobs with execution time overruns is large and the CPU usage rate, available memory capacity, disk usage rate, or some other item exceeds a warning level, take actions to reduce the level of job concurrency. | ||
| Track and compare trends and peaks in the number of completed jobs in different projects. The number of completed jobs by project also includes the following number of error jobs by project. | ||
| Track the number of completed error jobs in different projects. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
ISI Sequence | G |
| Check the ISI sequence information of the servers registered in the system group. |
ISI Queue | G |
| Check the ISI queue information of the servers registered in the system group. |
ISI Sequence | H |
| Track and compare trends and peaks in the number of process in each sequence. |
ISI Queue | H |
| Track and compare trends and peaks in the number of remaining items in each queue. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
HTTP service | G Specifications for displays that include service operational information |
| Check the status of the HTTP service to be monitored that is registered in the system group. |
SMTP service | G Specifications for displays that include service operational information |
| Check the status of the SMTP service to be monitored that is registered in the system group. |
DNS service | G Specifications for displays that include service operational information |
| Check the status of the DNS service to be monitored that is registered in the system group. |
PORT service | G Specifications for displays that include service operational information |
| Check the status of the PORT to be monitored that is registered in the system group. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
End user response | G |
| Check the status of the response times of the URLs that are registered in the system group. |
Reports | Analysis target and condition settings | Display item | Description |
---|---|---|---|
Time-series | H | - | Displays specified field values as chronological graphs and tables. |
Summary data time series display | H | - | Display the summary data as a time-series graph or table. |
Correlation display | H Specifications for displays that include correlations/compositions | - | Displays two specified field values as correlation graphs and regression line graphs. |
Contour display | H | - | Displays specified fields as contour graphs. This analysis is based on long-term data usage of approximately one month. |
Comparison display of the past | H | - | Displays a graph that allows hourly data from the past month and the past week to be compared side-by-side with the data for the base day |
Transition comparison display according to day | H Specifications for displays that include daily transition comparisons | - | Displays a graph that compares data trends for the specified date and time period. |
Composite display | H Specifications for displays that include correlations/compositions | - | Displays a graph that allows two different items (such as response time and CPU usage rate) to be compared side-by-side. |