System and method for generating and using fingerprints for integrity management
A system and method is provided for capturing and using problem fingerprints in an Information Technology (IT) infrastructure for integrity management. A fingerprint of the transaction topology in an IT infrastructure is automatically captured at various time intervals prior to the occurrence of an event leading to a problem, such as a failure, hard threshold violation, defined transaction violation or user-provided occurrence. The fingerprint provides an indication of the activity and operation of the IT infrastructure immediately preceding the problem event. The captured fingerprint is then used to monitor real-time data in the IT infrastructure operation and activity to look for activity that matches a captured fingerprint to provide an indication of a pending problems before the problems occur. When it is determined that there is sufficient probability a problem event will occur based upon real-time data matching a previously generated problem fingerprint, an alert is generated to provide sufficient notification prior to the occurrence of problem event.
1. A method comprising:
accessing a fingerprint comprising a set of rules that describe the behavior of at least one metric of an information technology (IT) infrastructure, wherein at least one rule of the fingerprint describes the probability of a symptom for a specific time cut that corresponds to a number of time units prior to an occurrence of a problem, wherein the fingerprint is produced as a result of the problem in the IT infrastructure being identified, information related to the problem in the IT infrastructure being collected, and the set of rules being formed from the collected information;
comparing the fingerprint to an incoming data stream; and
preemptively predicting a potential problem in the IT infrastructure based on the fingerprint comparison;
wherein at least one of the accessing, the comparing and the preemptively predicting is executed by a processor.
2. The method of claim 1 , wherein at least a portion of the fingerprint comparison is performed using a statistical event-based correlation.
3. The method of claim 1 , wherein the fingerprint is produced as a result of the collected information being analyzed to determine if fingerprint creation criteria are satisfied, the fingerprint creation criteria comprising an intermediate set of rules to determine if the collected information meets a threshold number of rules for fingerprint capture, and the fingerprint being captured or an existing fingerprint being updated using the set of rules.
4. The method of claim 1 , wherein the fingerprint is device and time independent.
5. The method of claim 4 , further comprising applying the device independent fingerprint to transactions occurring in the IT infrastructure.
6. The method of claim 4 , wherein the fingerprint represents the operation of at least a portion of the IT infrastructure preceding the occurrence of the problem.
7. The method of claim 1 , wherein the incoming data stream is substantially real-time data.
8. A non-transitory machine-readable medium having program instructions stored thereon executable by a processing unit for:
accessing a fingerprint comprising a set of rules that describe the behavior of at least one metric of an information technology (IT) infrastructure, wherein at least one rule of the fingerprint describes the probability of a symptom for a specific time cut that corresponds to a number of time units prior to an occurrence of a problem, wherein the fingerprint is produced as a result of the problem in the IT infrastructure being identified, information related to the problem in the IT infrastructure being collected, and the set of rules being formed from the collected information;
comparing the fingerprint to an incoming data stream; and
preemptively predicting a potential problem in the IT infrastructure based on the fingerprint comparison;
wherein at least one of the accessing, the comparing and the preemptively predicting is executed by a processor.
9. The non-transitory machine-readable medium of claim 8 , wherein the fingerprint is produced as a result of the collected information being analyzed to determine if fingerprint creation criteria are satisfied, the fingerprint creation criteria comprising an intermediate set of rules to determine if the collected information meets a threshold number of rules for fingerprint capture, and the fingerprint being captured or an existing fingerprint being updated using the set of rules.
10. The non-transitory machine-readable medium of claim 9 , wherein the fingerprint represents the operation of at least a portion of the IT infrastructure preceding the occurrence of the problem.
11. The non-transitory machine-readable medium of claim 8 , wherein the fingerprint is device and time independent, the medium further comprising program instructions stored thereon for applying the device independent fingerprint to transactions occurring in the IT infrastructure.
12. The non-transitory machine-readable medium of claim 8 , wherein the incoming data stream is substantially real-time data.
13. A system comprising:
a storage device for storing a fingerprint comprising a set of rules that describe the behavior of at least a portion of an IT infrastructure, wherein at least one rule of the fingerprint describes the probability of a symptom for a specific time cut that corresponds to a number of time units prior to an occurrence of a problem, wherein the fingerprint is produced as a result of the problem in the IT infrastructure being identified, information related to the problem in the IT infrastructure being collected, and the set of rules being formed from the collected information;
a fingerprint comparison module for comparing the fingerprint to an incoming data stream;
a problem prediction module for preemptively predicting a potential problem in the IT infrastructure based on the fingerprint comparison; and
a processor configured to execute an operation of at least one of the fingerprint comparison module and the problem prediction module.
14. The system of claim 13 , wherein the fingerprint comparison module performs at least a portion of the fingerprint comparison using a statistical event-based correlation.
15. The system of claim 13 , wherein the fingerprint is produced as a result of the collected information being analyzed to determine if fingerprint creation criteria are satisfied, the fingerprint creation criteria comprising an intermediate set of rules to determine if the collected information meets a threshold number of rules for fingerprint capture, and the fingerprint being captured or an existing fingerprint being updated using the set of rules.
16. The system of claim 13 , wherein the fingerprint is device and time independent, further wherein the fingerprint comparison module applies the device independent fingerprint to transactions occurring in the IT infrastructure.
17. The system of claim 13 , wherein the fingerprint represents the operation of at least a portion of the IT infrastructure immediately preceding the occurrence of the problem.
18. The system of claim 13 , wherein the incoming data stream is substantially real-time data.