Monitoring for probe failure to real servers

Hi All,
I'm working on task to trigger an alert to SNMP server for the probe failure to the real server.
Is there any way we can SNMP trap for probe failure to any real servers.
Regards,
Thiyagu

Thiyagu,
This is possible, refer the link below for ACE management features.
https://supportforums.cisco.com/docs/DOC-22543
Regards,
Siva

Similar Messages

  • GUI for monitoring ACE probes

    Hello,
    Can Cisco LMS monitor and report on ACE module probes.
    Thanks.

    yes, as imported MIBs.
    ACE appliance 3.x currently supports more SNMP OIDs for the probes than does the ACE module 2.x, but will ACE module 2.3 due by Q4CY09, they will both have same capabilities for probes monitoring.
    See:
    TableName:cslbxProbeCfgTable
    cslbxProbeState
    INDEX: slbEntity, cslbxProbeName
    For Probe State per Probe Name.
    cslbxProbeState can have two values ACTIVE and INACTIVE
    As part of reporting probe statistics per RServer the following OIDs will be added in the cesRServerProbeTable in CISCO-ENHANCED-SLB-MIB
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    cesRserverProbesFailed
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    Table Name: cesRealServerProbeTable
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    INDEX: Probe Name, Server Farm Name,Real Server Name, Real Server Port
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  • Temperature failure for probe (CPU_A)

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  • CSS 11501 7.40 Monitoring the services on real servers?

    Hi,
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    Here is my sample configuration
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  • Disable SQL Monitoring for few servers

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  • ACE30-MOD-k9 in bridge mode. Individual server in the same vlan of Real Servers not reacheable.

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  • Ace probe failure after IIS app pool recycle?

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  • Real Servers not connected to ACE VLAN and Real Servers are clients accessing the VIP

    Hi,
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  • ACE show serverfarm - failure counter does not incremented on Probe-Failure event

    Hi,
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    serverfarm     : xxxxxSt, type: HOST
    total rservers : 2
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       ---+---------------------+------+------------+----------+----------+---------
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    Hi Attila,
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    Rahul

  • ACE 4710 same real servers, different ports.

    Hi! I have the following question based on a new site requirement. The following sites use the same back end servers. Names changed to protect the innocent and my finger fumbling with pretty names for my actual config.
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    Note: Please mark answers if they are helpful.

  • ACE keep probing real servers using "https get 302"

    Hi all,
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    Hi Daniel,
    I just corrected the cert problem and made the state peer into standby hot. But still it still keep probing the get 302. And then I tried to restart both ACEs. The first step is to restart the second ACE (standby) and then switched over all context to the second one. The problem is that when I made the second one to be active, some services were not working, especially the ones with ssl terminated in ACE. I'm pretty sure that both ACEs were in sync.
    Any idea what is the problem?

  • Guidelines for Health Monitoring for TimesTen

    This document provides some guidance on monitoring the health of a TimesTen
    datastore. Information is provided on monitoring the health of the
    datastore itself, and on monitoring the health of replication.
    There are two basic mechanisms for monitoring TimesTen:
    1. Reactive - monitor for alerts either via SNMP traps (preferred) or
    by scanning the Timesten daemon log (very difficult) and reacting
    to problms as they occur.
    2. Proactive - probe TimesTen periodically and react if problems, or
    potential problems, are detected.
    This document focusses on the second (proactive) approach.
    First, some basic recommendations and guidelines relating to monitoring
    TimesTen:
    1. Monitoring should be implemented as a separate process which maintains
    a persistent connection to TimesTen. Monitoring schemes (typically based
    on scripts) that open a connection each time they check TimesTen impose
    an unnecessary and undesireable loading on the system and are discouraged.
    2. Many aspects of monitoring are 'stateful'. They require periodic
    sampling of some metric maintained by TimesTen and comparing its
    value with the previous sample. This is another reason why a separate
    process with a persistent connection is desireable.
    3. A good monitoring implementation will be configurable since the values
    used for some of the chcks may depend on e.g. the TimesTen configuration
    in use or the workload being handled.
    MONITORING THE HEALTH OF A DATASTORE
    ====================================
    At the simples level, this can be achieved by performing a simple SELECT
    against one of the system tables. The recommended table to use is the
    SYS.MONITOR table. If this SELECT returns within a short time then the
    datastore can be considered basically healthy.
    If the SELECT does not return within a short time then the datastroe is
    stuck in a low level hang situation (incredibly unlikely and very serious).
    More likely, the SELECT may return an error such as 994 or 846 indicating
    that the datastore has crashed (again very unlikely, but possible).
    A slightly more sophisticated version would also include an update to a
    row in a dummy table. This would ensure that the datastore is also capable
    of performing updates. This is important since if the filesystem holding
    the trsnaction logs becomes full the datastore may start to refuse write
    operations while still allowing reads.
    Now, the SYS.MONITOR table contains many useful operational metrics. A more
    sphisticated monitoring scheme could sample some of these metrics and
    compute the delta between subsequent samples, raising an alert if the
    delta exceeds some (configurable) threshold.
    Some examples of metrics that could be handled in this way are:
    PERM_IN_USE_SIZE and PERM_IN_USE_HIGH_WATER compared to PERM_ALLOCATED_SIZE
    (to detect if datastore is in danger of becoming full).
    TEMP_IN_USE_SIZE and TEMP_IN_USE_HIGH_WATER compared to TEMP_ALLOCATED_SIZE
    (ditto for temp area).
    XACT_ROLLBACKS - excessive rollbacks are a sign of excessive database
    contention or application logic problems.
    DEADLOCKS - as for XACT_ROLLBACKS.
    LOCK_TIMEOUTS - excessive lock timeouts usually indicate high levels of
    contention and/or application logic problems.
    CMD_PREPARES & CMD_REPREPARES - it is very important for performance that
    applications use parameterised SQL statements that they prepare just once
    and then execute many times. If these metrics are continuously increasing
    then this points to bad application programming which will be hurting
    performance.
    CMD_TEMP_INDEXES - if this value is increasing then the optimiser is
    comntinually creating temporary indices to process certain queries. This
    is usually a serious performance problem and indicates a missing index.
    LOG_BUFFER_WAITS - of this value is increasing over timne this indicates
    inadequate logging capacity. Yiou may need to increase the size of the
    datastore log buffer (LogBuffSize) and log file size (LogFileSize). If that
    does not alleviate the problem you may need to change your disk layout or
    even obtain a higher performance storage subsystem.
    LOG_FS_READS - this indicates an inefficieny in 'log snoop' processing as
    performed by replication and the XLA/JMS API. To alleviate this you should
    try increasing LogBuffSize and LogFileSize.
    Checking these metrics is of course optional and not necessary for a basic
    healthy/failed decision but if you do check them then you will detect more
    subtle problems in advance and be able to take remedial action.
    MONITORING THE HEALTH OF REPLICATION
    ====================================
    This is a little more complex but is vital to achieve a robust and reliable
    system. ideally, monitorting should be implemented at both datstores, the
    active and the standby. There are many more failure modes possible for
    a replicated system than for a standalone datastore and it is not possible
    to ennumerate them all here. However the information provided here should
    be sufficient to form the basis of a robist monitoring scheme.
    Monitoring replication at the ACTIVE datastore
    1.     CALL ttDataStoreStatus() and check result set;
    If no connections with type 'replication' exists, conclude that
    replication agents are stopped, restart the agents and skip
    next steps.
    It is assumed here that the replication start policy is 'norestart'.
    An alarm about unstable replication agents should be raised
    if this is Nth restart in M seconds (N and M are configuration parameters).
    The alarm can later be cleared when the agents stayed alive K
    seconds (K is configuration parameter).
    2.     CALL ttReplicationStatus() and check result set;
    This returns a row for every replication peer for this datastore.
    If the pState is not 'start' for any peer, raise an alarm about paused or
    stopped replication and skip rest of the steps.
    It is assumed that master cannot help the fact that state is not
    'start'. An operator may have stopped/paused the replication or
    TimesTen stopped the replication because of fail threshold
    strategy. In former case the operator hopefully starts the replication
    sooner or later (of course, after that TimesTen may stop it again
    because of the fail threshold strategy). In latter case the standby
    side monitor process should recognise the fact and duplicate the data
    store with setMasterRepStart-option which sets state back to 'start'.
    If for any peer, lastMsg > MAX (MAX is a configuration parameter), raise
    an alarm for potential communication problems.
    Note that if replication is idle (nothing to replicate), or there is
    very little replication traffic, the value for lastMsg may become as
    high as 60 seconds without indicating any problem. The test logic
    should cater for this (i.e. MAX must be > 60 seconds).
    3.     CALL ttBookmark();
    Compute the holdLSN delta between the values from this call and the
    previous call and if the delta is greater than maximum allowed
    (configuration parameter), raise an alarm about standby
    that is too far behind. Continue to next step.
    Notice that maximum delta should be less than FAILTHRESHOLD * logSize.
    4.     CALL ttRepSyncSubscriberStatus(datastore, host);
    This step is only needed if you are using RETURN RECEIPT or RETURN TWOSAFE
    with the optional DISABLE RETURN feature.
    If disabled is 1, raise an alarm for disabled return service.
    Continue to next step. If RESUME RETURN policy is not enabled we could,
    of course, try to enable return service again (especially when DURABLE
    COMMIT is OFF).
    There should be no reason to reject TimesTen own mechanisms that
    control return service. Thus, no other actions for disabled return
    service.
    Monitoring replication at the STANDBY datastore
    1.     CALL ttDataStoreStatus();
    If no connections with type 'replication' exists, conclude that
    replication agents are stopped, restart the agents and skip
    next steps.
    It is assumed that replication start policy is 'norestart'.
    An alarm about unstable replication agents should be raised
    if this is Nth restart in M seconds (N and M are configuration parameters).
    The alarm can later be cleared when the agents stayed alive K
    seconds (K is configuration parameter).
    2.     Call SQLGetInfo(...,TT_REPLICATION_INVALID,...);
    If the status is 1, this indicates that the active store has marked this store
    as failed due to it being too far out of sync due to log FAILTHRESHOLD.
    Start recovery actions by destroying the datastore and recreating via a
    'duplicate' operation from the active.
    3.     Check 'timerecv' value for relevant row in TTREP.REPPEERS
    If (timerecv - previous timerecv) > MAX (MAX is a configuration parameter),
    raise an alarm for potential communication problems.
    You can determine the correct row in TTREP.REPPEERS by first getting the
    correct TT_STORE_ID value from TTREP.TTSTORES based on the values in
    HOST_NAME and TT_STORE_NAME (you want the id corresponding to the active
    store) and then using that to query TTREP.REPPEERS (you can use a join if
    you like).
    The recovery actions that should be taken in the event of a problem with
    replication depend on several factors:
    1. The application requirements
    2. The type of replication configuration
    3. The replication mode (asynchronous, return receipt or return twosafe)
    that is in use
    Consult the Timesten replication guide for information on detailed recovery
    procedures for each combination.
    ================================ END ==================================

    The information in the forum article is the abridged text of a whitepaper I wrote recommending best practice for building a monitoring infrastructure for TimesTen. i.e. you write an 'application' in C, C++ or Java that performs these monitoring activities and run it continually in production against your datastores. Various aspects of the behaviour of the application could be controlled by configurable parameters; these are not TimesTen parameters but parameters defined and used by the monitoring application.
    In the specific case you mentioned, the 'lastMsg' value returned by ttReplicationStatus is the number of seconds since the last message was received from that peer. The monitoring application would compare this against some meaningful threshold (maybe 30 seconds) and if lastMsg is > that value, raise an alarm. To allow flexibility, the value compared against )MAX) should be configurable.
    Does that make sense?
    Chris

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