Closed GambitK closed 9 years ago
+1
+1 - It seems as if Drools should permit doing this, but I can't figure out if the current Drools support is sufficient for the task. I'm guessing that it is not.
+1 !!!
+1
A couple of days ago a request came up about having an alert if an ip address repeats itself N times over a period of time asking for a particular resource. I'm currently looking for alternatives for this specific feature to have a tool in parallel to graylog2.
needs complex event processing support, check what drools supplies already
See #802 for a possible solution :)
As noted earlier, we have an output plugin for riemann now that can be used with riemann to do these things. https://github.com/Graylog2/graylog2-plugin-output-riemann
I am closing this now because we have lots of similar issue open and we know about this topic. :wink:
Thank you!
What is the status of this issue? which one is the correct issue to monitor ? Can we use Processing Pipelines to find Correlation of messages ? Example - Find the start and end time of any process.
@pramodanarase See https://github.com/Graylog2/graylog2-server/issues/424#issuecomment-76419510
Right now graylog2 has the streams where you could define rules to match messages, the thing is that you need to know the specifics of what you are looking for.
There's on feature that I think would make graylog2 really powerful, the ability to correlate messages, example:
Alert01: If field "user" has the same value over a period of N time and field "event=300" give me an alert.
Alert02: If field "host" has the same value over a period of N time and field "event=500" give me an alert.
Alert03: If field "host" has the same value and "event=150" is followed by "event=250" over a period of N time alert me.
The idea is that you could do behavior searches and alerts and not have only alerts based on discrete values. I've used this feature extensively in splunk, the alert would send the messages that triggered the rule. I think that's the main missing piece to bridge the gap between them.