9 Sizing and Maximizing the Performance of Oracle Enterprise Manager

9.2.1.1 Network Topology Considerations

A critical consideration when deploying Enterprise Manager Grid Control is network performance between tiers. Enterprise Manager Grid Control ensures tolerance of network glitches, failures, and outages between application tiers through error tolerance and recovery. The Management Agent in particular is able to handle a less performant or reliable network link to the Management Service without severe impact to the performance of Enterprise Manager as a whole. The scope of the impact, as far as a single Management Agent's data being delayed due to network issues, is not likely to be noticed at the Enterprise Manager Grid Control system wide level.

The impact of slightly higher network latencies between the Management Service and Management Repository will be substantial, however. Implementations of Enterprise Manager Grid Control have experienced significant performance issues when the network link between the Management Service and Management Repository is not of sufficient quality. The following diagram that displays the Enterprise Manager components and their connecting network link performance requirements. These are minimum requirements based on larger real world Enterprise Manager Grid Control deployments and testing.

Figure 9-2 Network Links Related to Enterprise Manager Components

Description of "Figure 9-2 Network Links Related to Enterprise Manager Components"

You can see in Figure 9-2 that the bandwidth and latency minimum requirements of network links between Enterprise Manager Grid Control components greatly impact the performance of the Enterprise Manager application.

9.2.3.1 Online Weekly Tasks

• Check the system error page and resolve the causes of all errors. Some may be related to product bugs, but resolve as many as you can. Look for applicable patches if you suspect a bug. Clear the error table from the Enterprise Manager interface when you are done or when you have resolved all that you can.

• Check the alerts and errors for any metric collection errors. Most of these will be due to configuration issues at the target being monitored. Resolve these errors by fixing the reported problem. The error should then clear automatically.

• Try to resolve any open alerts in the system. Also, if there are severities that are frequently oscillating between clear and warning or critical, try adjusting the threshold to stop frequent warning and critical alert conditions. Frequent alert oscillation can add significant load at the Management Server. Adjusting the threshold to a more reasonable level will help Enterprise Manager to work more efficiently for you. Adjusting the threshold for an alert may be the only way to close the alert. This is perfectly acceptable in cases where the tolerances are too tight for a metric.

• Watch for monitored targets that are always listed with a down status. Try to get them up and working again, or remove them from Oracle Enterprise Manager.

• Watch the Alert Log error metric for the Management Repository database for critical (ORA-0600, for example) errors. Resolve these as soon as possible. A search on Metalink using the error details almost always will reveal some clues to its cause and provide available patches.

• Analyze the three major tables in the Management Repository: MGMT_METRICS_RAW, MGMT_METRICS_1HOUR, and MGMT_METRICS_1DAY. If your Management Repository is in an Oracle 10g database, then these tables are automatically analyzed weekly and you can skip this task. If your Management Repository is in an Oracle version 9 database, then you will need to ensure that the following commands are run weekly:

  • exec dbms_stats.gather_table_stats('SYSMAN', 'MGMT_METRICS_RAW', null, .000001, false, 'for all indexed columns', null, 'global', true, null, null, null);

  • exec dbms_stats.gather_table_stats('SYSMAN', 'MGMT_METRICS_1HOUR', null, .000001, false, 'for all indexed columns', null, 'global', true, null, null, null);

  • exec dbms_stats.gather_table_stats('SYSMAN', 'MGMT_METRICS_1DAY', null, .000001, false, 'for all indexed columns', null, 'global', true, null, null, null);

9.2.3.2 Offline Monthly Tasks

• Drop old partitions. Oracle Enterprise Manager automatically truncates the data and reclaim the space used by partitions older than the default retention times for each table. Due to a database bug, however, Enterprise Manager cannot drop partitions while the Management Service is running because many SQL cursors will be invalidated incorrectly leading to some strange errors in the Enterprise Manager interface. The following command must be run with all Management Servers down:

  • exec emd_maintenance.partition_maintenance;

• Rebuild and defragment indexes and reorganize tables as required. You may not actually need to rebuild any indexes or tables on a monthly basis. All you should do monthly is evaluate the Management Repository for tables and indexes that have grown significantly and been purged back down to a fraction of their allocated size. Unnecessarily building tables and indexes causes the Management Repository to work harder than necessary to reallocate needed space. The tables that require reorganization are easily identifiable. These tables will be large in allocated size with a relatively small number of rows, or actual size. In a real Management Repository, you may see one table that is approximately 800MB in size but only contains 6 rows. If the table is this badly oversized, it requires reorganization. Tables can be reorganized and rebuilt using a command similar to the following example:

  • exec dbms_redefinition.start_redef_table('SYSMAN','MGMT_SEVERITY');

  This command rebuilds the table and returns its physical structure to its clean initial state. The 800 MB table is an extreme case. Smaller disparities between actual size and row count may also indicate the need for reorganization. The Management Server(s) must be down when reorganizing a table. If you reorganize the table, the indexes must also be rebuilt. This helps make index range scans more efficient again. Indexes can be reorganized using a command similar to the following example:

  • ALTER INDEX SEVERITY_PRIMARY_KEY REBUILD;

  There are a few tables (along with their indexes) that may require rebuilding more frequently than others based on the higher volume of inserts and deletes they typically see. These tables are:

  • MGMT_SEVERITY

  • MGMT_CURRENT_SEVERITY

  • MGMT_SYSTEM_ERROR_LOG

  • MGMT_SYSTEM_PERFORMANCE_LOG

  • MGMT_METRIC_ERRORS

  • MGMT_CURRENT_METRIC_ERRORS

  • MGMT_STRING_METRIC_HISTORY

  • MGMT_JOB_OUTPUT

  These are a sampling of tables that may require more DBA attention than others, but all non-IOT Enterprise Manager tables and indexes should be evaluated monthly for defragmentation and rebuild needs. The following query gives a rough idea of the tables that may require rebuild and reorganization or both:

  SELECT UT.TABLE_NAME, ROUND(UT.NUM_ROWS * UT.AVG_ROW_LEN / 1024 / 1024, 2) "CALCULATED SIZE MB", ROUND(US.BYTES / 1024 /1024,2) "ALLOCATED SIZE MB", ROUND(US.BYTES / (UT.NUM_ROWS * UT.AVG_ROW_LEN),2) "TIMES LARGER" FROM USER_TABLES UT, USER_SEGMENTS US WHERE (UT.NUM_ROWS > 0 AND UT.AVG_ROW_LEN > 0 AND US.BYTES > 0) AND UT.PARTITIONED = 'NO' AND UT.IOT_TYPE IS NULL AND UT.IOT_NAME IS NULL AND UT.TABLE_NAME = US.SEGMENT_NAME AND ROUND(US.BYTES / 1024 /1024,2) > 5 AND ROUND(US.BYTES / 1024 /1024,2) > (ROUND(UT.NUM_ROWS * UT.AVG_ROW_LEN / 1024 / 1024, 2)* 2) ORDER BY 4 DESC;

  Sample query output:

  Table Name	Calculated Size MB	Allocated Size MB	Times Larger
  MGMT_JOB_OUTPUT	2.25	440	195.57
  MGMT_FLAT_TARGET_MEMBERSHIPS	2.33	160	68.67
  MGMT_ANNOTATIONS	1.21	21	17.3
  MGMT_SQL_SUMMARY	6.06	80	13.2
  MGMT_JOB_EXECUTION	1.03	12	11.6
  MGMT_SYSTEM_ERROR_LOG	5.6	61	10.88
  MGMT_JOB_HISTORY	1.11	10	9.04
  MGMT_NOTIFICATION_LOG	1.59	14	8.78

  
  
  
  

  Note: This query calculates the actual size of a table based on the number of rows and average row size. It compares this actual size to the currently allocated size of the table. The final column shows how many times larger the allocated size is than the calculated actual size. Use this as a guide to determine which tables and indexes should be rebuilt. Tables that are many times larger than the actual size should be rebuilt, along with their indexes, using the commands mentioned previously.

  
  

  Good housekeeping will prevent many bottlenecks from occurring on your Enterprise Manager Grid Control site, but there may be times when you should investigate performance problems on your site that are not related to housekeeping. This is where the Enterprise Manager vital signs become important.

9.2.4.1 High CPU Utilization

When you are asked to evaluate a site for performance and notice high CPU utilization, there are a few common steps you should follow to determine what resources are being used and where.

1. The Management Server is typically a very minimal consumer of CPU. High CPU utilization in the Enterprise Manager Grid Control almost always manifests as a symptom at the Management Repository.

2. Use the Processes display on the Enterprise Manager Host home page to determine which processes are consuming the most CPU on any Management Service or Management Repository host that has crossed a CPU threshold.

3. Once you have established that Enterprise Manager is consuming the most CPU, use Enterprise Manager to identify what activity is the highest CPU consumer. Typically this manifests itself on a Management Repository host where most of the Management Service's work is performed. It is very rare that the Management Service itself is the source of the bottleneck. Here are a few typical spots to investigate when the Management Repository appears to be using too many resources.

   1. Click on the CPU Used database resource listed on the Management Repository's Database Performance page to examine the SQL that is using the most CPU at the Management Repository.

   2. Check the Database Locks on the Management Repository's Database Performance page looking for any contention issues.

High CPU utilization is probably the most common symptom of any performance bottleneck. Typically, the Management Repository is the biggest consumer of CPU, which is where you should focus. A properly configured and maintained Management Repository host system that is not otherwise hardware resource constrained should average roughly 40 percent or less total CPU utilization. A Management Server host system should average roughly 20 percent or less total CPU utilization. These relatively low average values should allow sufficient headroom for spikes in activity. Allowing for activity spikes helps keep your page performance more consistent over time. If your Enterprise Manager Grid Control site interface pages happen to be responding well (approximately 3 seconds) while there is no significant (constant) loader backlog, and it is using more CPU than recommended, you may not have to address it unless you are concerned it is part of a larger upward trend.

The recommended path for tracking down the root cause of high Management Repository CPU utilization is captured under step 3.b above. This allows you to start at the Management Repository Performance page and work your way down to the SQL that is consuming the most CPU in its processing. This approach has been used very successfully on several real world sites.

If you are running Enterprise Manager on Intel based hosts, the Enterprise Manager Grid Control Management Service and Management Repository will both benefit from Hyper-Threading (HT) being enabled on the host or hosts on which they are deployed. HT is a function of certain late models of Intel processors, which allows the execution of some amount of CPU instructions in parallel. This gives the appearance of double the number of CPUs physically available on the system. Testing has proven that HT provides approximately 1.5 times the CPU processing power as the same system without HT enabled. This can significantly improve system performance. The Management Service and Management Repository both frequently have more than one process executing simultaneously, so they can benefit greatly from HT.

9.2.4.2 Loader Vital Signs

The vital signs for the loader indicate exactly how much data is continuously coming into the system from all the Enterprise Manager Agents. The most important items here are the percent of hour runs and rows/second/thread. The (Loader) % of hour run indicates whether the loader threads configured are able to keep pace with the incoming data volume. As this value approaches 100%, it becomes apparent that the loading process is failing to keep pace with the incoming data volume. The lower this value, the more efficiently your loader is running and the less resources it requires from the Management Service host. Adding more loader threads to your Management Server can help reduce the percent of hour run for the loader.

Rows/Second/Thread is a precise measure of each loader thread's throughput per second. The higher this number, the better. Rows/Second/Thread as high as 1200 have been observed on some smaller, well configured and maintained Enterprise Manager Grid Control sites. If you have not increased the number of loader threads and this number is trending down, it may indicate a problem later. One way to overcome a decreasing rows/second/thread is to add more loader threads.

The number of Loader Threads is always set to one by default in the Management Server configuration file. Each Management Server can have a maximum of 10 loader threads. Adding loader threads to a Management Server typically increases the overall host CPU utilization by 2% to 5% on a Enterprise Manager Grid Control site with many Management Agents configured. Customers can change this value as their site requires. Most medium size and smaller configurations will never need more than one loader thread. Here is a simple guideline for adding loader threads:

Max total (across all Management Servers) loader threads = 2 X number of Management Repository host CPUs

There is a diminishing return when adding loader threads. You will not yield 100% capacity from the second, or higher, thread. There should be a positive benefit, however. As you add loader threads, you should see rows/second/thread decrease, but total rows/hour throughput should increase. If you are not seeing significant improvement in total rows/hour, and there is a constantly growing loader file backlog, it may not be worth the cost of the increase in loader threads. You should explore other tuning or housekeeping opportunities in this case.

To add more loader threads you can change the following configuration parameter:

em.loader.threadPoolSize=n

Where 'n' is a positive integer [1-10]. The default is one and any value other than [1-10] will result in the thread pool size defaulting to one. This property file is located in the {ORACLE_HOME}/sysman/config directory. Changing this parameter will require a restart of the Management Service to be reloaded with the new value.

9.2.4.3 Rollup Vital Signs

The rollup process is the aggregation mechanism for Enterprise Manager Grid Control. Once an hour, it processes all the new raw data loaded into the Management Repository table MGMT_METRICS_RAW, calculates averages and stores them in the tables MGMT_METRICS_1HOUR and MGMT_METRICS_1DAY. The two vital signs for the rollup are the rows/second and % of hour run. Due to the large volume of data rows processed by the rollup, it tends to be the largest consumer of Management Repository buffer cache space. Because of this, the rollup vital signs can be great indicators of the benefit of increasing buffer cache size.

Rollup rows/second shows exactly how many rows are being processed, or aggregated and stored, every second. This value is usually around 2,000 (+/- 500) rows per second on a site with a decent size buffer cache and reasonable speedy I/O. A downward trend over time for this value may indicate a future problem, but as long as % of hour run is under 100 your site is probably fine.

If rollup % of hour run is trending up (or is higher than your baseline), and you have not yet set the Management Repository buffer cache to its maximum, it may be advantageous to increase the buffer cache setting. Usually, if there is going to be a benefit from increasing buffer cache, you will see an overall improvement in resource utilization and throughput on the Management Repository host. The loader statistics will appear a little better. CPU utilization on the host will be reduced and I/O will decrease. The most telling improvement will be in the rollup statistics. There should be a noticeable improvement in both rollup rows/second and % of hour run. If you do not see any improvement in any of these vital signs, you can revert the buffer cache to its previous size. The old Buffer Cache Hit Ratio metric can be misleading. It has been observed in testing that Buffer Cache Hit Ratio will appear high when the buffer cache is significantly undersized and Enterprise Manager Grid Control performance is struggling because of it. There will be times when increasing buffer cache will not help improve performance for Grid Control. This is typically due to resource constraints or contention elsewhere in the application. Consider using the steps listed in the High CPU Utilization section to identify the point of contention. Grid Control also provides advice on buffer cache sizing from the database itself. This is available on the database Memory Parameters page.

One important thing to note when considering increasing buffer cache is that there may be operating system mechanisms that can help improve Enterprise Manager Grid Control performance. One example of this is the "large memory" option available on Red Hat Linux. The Linux OS Red Hat Advanced Server™ 2.1 (RHAS) has a feature called big pages. In RHAS 2.1, bigpages is a boot up parameter that can be used to pre-allocate large shared memory segments. Use of this feature, in conjunction with a large Management Repository SGA, can significantly improve overall Grid Control application performance. Starting in Red Hat Enterprise Linux™ 3, big pages functionality is replaced with a new feature called huge pages, which no longer requires a boot-up parameter.

9.2.4.4 Job, Notification, and Alert Vital Signs

Jobs, notifications, and alerts are indicators of the processing efficiency of the Management Service(s) on your Enterprise Manager Grid Control site. Any negative trends in these values are usually a symptom of contention elsewhere in the application. The best use of these values is to measure the benefit of running with more than one Management Server. There is one job dispatcher in each Management Server. Adding Management Servers will not always improve these values. In general, adding Management Servers will improve overall throughput for Grid Control when the application is not otherwise experiencing resource contention issues. Job, Notification, and Alert vital signs can help measure that improvement.

9.2.4.5 I/O Vital Signs

Monitoring the I/O throughput of the different channels in your Enterprise Manager Grid Control deployment is essential to ensuring good performance. At minimum, there are three different I/O channels on which you should have a baseline and alert thresholds defined:

• Disk I/O from the Management Repository instance to its data files

• Network I/O between the Management Server and Management Repository

• RAC interconnect (network) I/O (on RAC systems only)

You should understand the potential peak and sustained throughput I/O capabilities for each of these channels. Based on these and the baseline values you establish, you can derive reasonable thresholds for warning and critical alerts on them in Grid Control. You will then be notified automatically if you approach these thresholds on your site. Some Grid Control site administrators can be unaware or mistaken about what these I/O channels can handle on their sites. This can lead to Enterprise Manager Grid Control saturating these channels, which in turn cripples performance on the site. In such an unfortunate situation, you would see that many vital signs would be impacted negatively.

To discover whether the Management Repository is involved, you can use Grid Control to check the Database Performance page. On the Performance page for the Management Repository, click on the wait graph showing the largest amount of time spent. From this you can continue to drill down into the actual SQL code or sessions that are waiting. This should help you to understand where the bottleneck is originating.

Another area to check is unexpected I/O load from non-Enterprise Manager Grid Control sources like backups, another application, or a possible data-mining co-worker who engages in complex SQL queries, multiple Cartesian products, and so on.

Total Repository I/O trouble can be caused by two factors. The first is a lack of regular housekeeping. Some of the Grid Control segments can be very badly fragmented causing a severe I/O drain. Second, there can be some poorly tuned SQL statements consuming much of the site I/O bandwidth. These two main contributors can cause most of the Grid Control vital signs to plummet. In addition, the lax housekeeping can cause the Management Repository's allocated size to increase dramatically.

One important feature of which to take advantage is asynchronous I/O. Enabling asynchronous I/O can dramatically improve overall performance of the Grid Control application. The Sun Solaris™ and Linux operating systems have this capability, but may be disabled by default. The Microsoft Windows™ operating system uses asynchronous I/O by default. Oracle strongly recommends enabling of this operating system feature on the Management Repository hosts and on Management Service hosts as well.

9.2.4.6 The Oracle Enterprise Manager Performance Page

There may be occasions when Enterprise Manager user interface pages are slow in the absence of any other performance degradation. The typical cause for these slow downs will be an area of Enterprise Manager housekeeping that has been overlooked. The first line of monitoring for Enterprise Manger page performance is the use of Enterprise Manager Beacons. These functionalities are also useful for web applications other than Enterprise Manager.

Beacons are designed to be lightweight page performance monitoring targets. After defining a Beacon target on an Management Agent, you can then define UI performance transactions using the Beacon. These transactions are a series of UI page hits that you will manually walk through once. Thereafter, the Beacon will automatically repeat your UI transaction on a specified interval. Each time the Beacon transaction is run, Enterprise Manager will calculate its performance and store it for historical purposes. In addition, alerts can be generated when page performance degrades below thresholds you specify.

When you configure the Enterprise Manager Beacon, you begin with a single predefined transaction that monitors the home page you specify during this process. You can then add as many transactions as are appropriate. You can also set up additional Beacons from different points on your network against the same web application to measure the impact of WAN latency on application performance. This same functionality is available for all Web applications monitored by Enterprise Manager Grid Control.

After you are alerted to a UI page that is performing poorly, you can then use the second line of page performance monitoring in Enterprise Manager Grid Control. This new end-to-end (or E2E) monitoring functionality in Grid Control is designed to allow you to break down processing time of a page into its basic parts. This will allow you to pinpoint when maintenance may be required to enhance page performance. E2E monitoring in Grid Control lets you break down both the client side processing and the server side processing of a single page hit.

The next page down in the Middle Tier Performance section will break out the processing time by tier for the page. By clicking on the largest slice of the Processing Time Breakdown pie chart, which is JDBC time above, you can get the SQL details. By clicking on the SQL statement, you break out the performance of its execution over time.

The JDBC page displays the SQL calls the system is spending most of its page time executing. This SQL call could be an individual DML statement or a PL/SQL procedure call. In the case of an individual SQL statement, you should examine the segments (tables and their indexes) accessed by the statement to determine their housekeeping (rebuild and reorg) needs. The PL/SQL procedure case is slightly more involved because you must look at the procedure's source code in the Management Repository to identify the tables and associated indexes accessed by the call.

Once you have identified the segments, you can then run the necessary rebuild and reorganization statements for them with the Management Server down. This should dramatically improve page performance. There are cases where page performance will not be helped by rebuild and reorganization alone, such as when excessive numbers of open alerts, system errors, and metric errors exist. The only way to improve these calls is to address (for example, clean up or remove) the numbers of these issues. After these numbers are reduced, then the segment rebuild and reorganization should be completed to optimize performance. These scenarios are covered in Section 9.2.3. If you stay current, you should not need to analyze UI page performance as often, if at all.

9.3.1.1 Oracle Management Service

As the Management Service is stateless, the task is to restore the binaries and configuration files is the shortest time possible. There are two alternatives in this case.

• Backup the entire software directory structure and restoring that in the event of failure to the same directory path. The Management Agent associated with this Management Service install should also be backed up at the same time and restored with the Management Service files if a restore is required.

• Reinstall from the original media.

For any highly available Management Service install it is a recommended practice to make sure the /recv directory is protected with some mirroring technology. This is the directory the Management Service uses to stage files send to it from Management Agents before writing their contents to the database Management Repository. After the Management Agent finishes transmission of its XML files to the Management Service, it will delete its copy. In the event of an Management Service disk failure, this data would be lost. Warnings and alerts sent from the Management Agents would then be lost. This may require Management Agent resynchronization steps similar to those used with an incomplete database recovery.

9.3.1.2 Management Agent

This is a similar case to the Management Service except that the Management Agent is not stateless. There are two strategies that can be used:

• A disk backup and restore is sufficient, assuming the host name has not changed. Delete the agntstmp.txt and the lastupld.xml files from the /sysman/emd directory. The /state and /upload sub-directories should be cleared of all entries before restarting. Starting the Management Agent will then force a rediscovery of targets on the host.

• Reinstall from the original media.

As with the Management Service, it is a recommended best practice to protect the /state and /upload directories with some form of disk mirroring.

9.3.2.1 Management Repository

If restoring the Management Repository to a new host, restore a backup of the database and modify the emoms.properities file for each Management Service manually to point to the new Management Repository location. In addition, the targets.xml for each Management Service will have to be updated to reflect the new Management Repository location. If there is a data loss during recovery, see the notes above on incomplete recovery of the Management Repository.

To speed Management Repository reconnection from the Management Service in the event of a single Management Service failure, configure the Management Service with a TAF aware connect string. The Management Service can be configured with a TAF connect string in the emoms.properities file that will automatically redirect communications to another node using the 'FAILOVER' syntax. An example follows:

EM=
(description=
(failover=on)
(address_list=
(failover=on)
(address=(protocol=tcp)(port=1522)(host=EMPRIM1.us.oracle.com))
(address=(protocol=tcp)(port=1522)(host=EMPRIM2.us.oracle.com)))
(address_list=
(failover=on)
(address=(protocol=tcp)(port=1522)(host=EMSEC1.us.oracle.com))
(address=(protocol=tcp)(port=1522)(host=EMSEC2.us.oracle.com)))
(connect_data=(service_name=EMrep.us.oracle.com)))

9.3.2.2 Oracle Management Service

Preinstall the Management Service and Management Agent on the hardware that will be used for Disaster Recovery. This eliminates the step of restoring a copy of the Enterprise Manager binaries from backup and modifying the Management Service and Management Agent configuration files.

Note that it is not recommended to restore the Management Service and Management Agent binaries from an existing backup to a new host in the event of a disaster as there are host name dependencies. Always do a fresh install.

9.3.2.3 Management Agent

In the event of a true disaster recovery, it is easier to reinstall the Management Agent and allow it to do a clean discovery of all targets running on the new host.

9.4.2.1 Management Agent

Enterprise Manager uses a software process called the Oracle Management Agent to monitor a target. The Management Agent is a system daemon that consists of two processes, a process that provides monitoring, alerting and job system capabilities, as well as a watchdog process that is responsible for insuring the Management Agent is up and available.

The data that is collected by the Management Agent is stored temporarily on the monitored host in files. Once the Management Agent deems it necessary to upload the information to the Grid Control system, it contacts the Management Service to establish a connection and uploads the data.

The Management Service accepts the data from the Management Agent, stores the information as files local to the Management Service and acknowledges receipt of the information to the Management Agent. Depending on the volume of work the Management Service is performing, a period of time may elapse before the Management Service loads the data into the Management Repository.

Notifications of alerts, warnings and target state changes do not follow this delayed model. When the Management Agent uploads the information, the Management Service commits the data immediately to the Management Repository before acknowledgement is returned to the Management Agent.

The Management Agent and its watchdog are started through the command '$ORACLE_HOME/bin/emctl start agent.'

9.4.2.2 Management Service

The Management Service element of the Enterprise Manager Grid Control product acts both as the receiver of information from Management Agents as well as serves out the User Interface in the form of HTML pages. It does this by maintaining a connection to the configurations database Management Repository and responding to requests over HTTP.

9.4.2.3 Management Repository

The Management Repository is the central location for all historical data managed by Grid Control. Redundancy at this tier is provided by standard database features and best practices.

9.4.3.1 Console Warnings, Alerts, and Notifications

The following list is a set of recommendations that extend the default monitoring performed by Enterprise Manager. Use the Notification Rules link on the Preferences page to adjust the default rules provided on the Configuration/Rules page:

• Ensure the Agent Unreachable rule is set to alert on all agent unreachable and agent clear errors.

• Ensure the Repository Operations Availability rule is set to notify on any unreachable problems with the Management Service or Management Repository nodes. Also modify this rule to alert on the Targets Not Providing Data condition and any database alerts that are detected against the database serving as the Management Repository.

Modify the Agent Upload Problems Rule to alert when the Management Service status has hit a warning or clear threshold.

9.4.3.2 Configure Additional Error Reporting Mechanisms

Enterprise Manager provides error reporting mechanisms through e-mail notifications, PL/SQL packages, and SNMP alerts. Configure these mechanisms based on the infrastructure of the production site. If using e-mail for notifications, configure the notification rule through the Grid Control Console to notify administrators using multiple SMTP servers if they are available. This can be done by modifying the default e-mail server setting on the Notification Methods option under Setup.

9.4.3.3 Component Backup

Backup procedures for the database are well established standards. Configure backup for the Management Repository using the RMAN interface provided in the Grid Control Console. Refer to the RMAN documentation or the Maximum Availability architecture document for detailed implementation instructions.

In addition to the Management Repository, the Management Service and Management Agent should also have regular backups. Backups should be performed after any configuration change. Best practices for backing up these tiers are documented in the section, Section 9.3, "Oracle Enterprise Manager Backup, Recovery, and Disaster Recovery Considerations".

9.4.3.4 Troubleshooting

In the event of a problem with Grid Control, the starting point for any diagnostic effort is the console itself. The Management System tab provides access to an overview of all Management Service operations and current alerts. Other pages summarize the health of Management Service processes and logged errors These pages are useful for determining the causes of any performance problems as the summary page shows at a historical view of the amount of files waiting to be loaded to the Management Repository and the amount of work waiting to be completed by Management Agents.