![]() ![]() Hence, there should be one “item count” for the first event and null for the last one. In my example I’ll use a static threshold for the matching values. One that handles the “correlator count” and one to filter the output. In my example I will not use On Demand detection just Regular.Ĭreate a new fragment for module types and put the correlator there after taking a peek at the System.CorrelatorAutoMissingCondition module. All modules, except for the correlating filter, are built-in. Also set which parameters that should be overrideable.Īdd all member modules. Set the parameters used under the Configuration tag. Set an ID for the MonitorType and the states for the monitor. Start with creating a new empty MP fragment in your solution. In my example I’ll use the alias “AppLog”. A filter for each of the “log readers”.Ī reference to the MP “” is needed.A “log reader” for when monitor goes back to Healthy state.A “log reader” for the correlated matching event in the log file that generates Unhealthy state.A “log reader” for the first matching event in the log file.To correlate the events we need a filter for that too. ![]() We will need “log readers” and filters for matching the events with an error string. In the MP “” and the MonitorType “2StateMonitorType” there is some interesting information. Solutionīefore starting with the MP let’s take a look at an example. Since there will be a correlated event it is possible to user a monitor instead of a rule. But after looking at the different log file monitor types that is available in the library I realized that you could, with some effort, create my own customized log file monitoring to solve this problem. My first thought was to create a scripted monitor to solve this. There shouldn’t be any alert unless no correlating event has been added to the log file within an hour. There is also a correlated event that will indicate a good state. If this parameter is missing, set to zero, or SampleCount is non-zero, it defaults to the MatchCount/ SampleCount behavior.Ī customer wants to monitor a text log file for an event. This means that there need to be MatchCount matches of the expression within WithinSeconds in order for the Expression Filter to produce a data item. Indicates the time period during which a match increments a repeat count from the current item. If it is not, or if it is missing, the sample count is set equal to the match count (that is, only consecutive matching samples will trigger output). This value must be greater or equal to the match count. Indicates how many total samples (both positive and negative) to store while calculating matches. A value of 1 or 0 here defaults to the original behavior of the Expression Filter which is to output on all matches. Indicates how many positive matches the expression filter requires before outputting a data item. Information from MSDN about the SupressionSettings element in the System.ExpressionFilter module: Element I don’t know how I managed to miss this, but hopefully with this post, I’ll help some else not to miss this possibility. You can also set the total number of samples or a time limit for the samples. This is great! You can with this set how many matches that is needed to output the data to the next module. When taking a look at the Web Application Availability monitoring I found out that the Expression Filter with the 2.0 schema version has a new element called SupressionSettings. This is not optimal since the data is transformed into performance data. Until recently I used a performance mapper to get consecutive samples for my custom monitors or rules. ![]()
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