Capture and search of virtual machine application properties using log analysis techniques

A computer program product for capture and search of application properties for applications installed on virtual machines, the computer program product comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media and executable by one or more computer processors, the program instructions comprising:
• locating a plurality of virtual machine images coupled to a network;
• for each given virtual machine image of the plurality of virtual machine images, comprising:
• obtaining one or more logs on the given virtual machine image of the plurality of virtual machine images, wherein the one or more logs include information on one or more applications installed on the given virtual machine image;
• analyzing each given log of the one or more logs to identify one or more concepts related to a set of application properties for the one or more applications installed on the given virtual machine image by using a machine learning model that receives each given log as input to:
• parse, using the machine learning model, text in the given log to identify one or more text patterns;
• identify, using the machine learning model, the one or more concepts contained in the one or more text patterns in the given log using an ontology database;
• extract, using the machine learning model, from the one or more text patterns the set of application properties corresponding to the one or more concepts using the ontology database;
• and
• calculate, using the machine learning model, a probability that the one or more concepts exist in the given virtual machine image when the one or more text patterns are found in the one or more logs;
• associating the one or more concepts and the set of application properties with an identity of the given virtual machine image;
• and
• storing the association of the one or more concepts and the set of application properties with the identity of the given virtual machine image in a virtual machine catalogue;
• receiving one or more search terms related to the plurality of virtual machine images;
• locating a stored virtual machine image for one virtual machine based on the one or more search terms;
• and
• installing the stored virtual machine image for another virtual machine.

A system comprising:

• one or more processors;
• and
• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media and executable by the one or more processors, the program instructions comprising:
• locating a plurality of virtual machine images coupled to a network;
• for each given virtual machine image of the plurality of virtual machine images, comprising:
• obtaining one or more logs on the given virtual machine image of the plurality of virtual machine images, wherein the one or more logs include information on one or more applications installed on the given virtual machine image;
• analyzing each given log of the one or more logs to identify one or more concepts related to a set of application properties for the one or more applications installed on the given virtual machine image by using a machine learning model that receives each given log as input to:
• parse, using the machine learning model, text in the given log to identify one or more text patterns;
• identify, using the machine learning model, the one or more concepts contained in the one or more text patterns in the given log using an ontology database;
• extract, using the machine learning model, from the one or more text patterns the set of application properties corresponding to the one or more concepts using the ontology database;
• and
• calculate, using the machine learning model, a probability that the one or more concepts exist in the given virtual machine image when the one or more text patterns are found in the one or more logs;
• associating the one or more concepts and the set of application properties with an identity of the given virtual machine image;
• and
• storing the association of the one or more concepts and the set of application properties with the identity of the given virtual machine image in a virtual machine catalogue;
• receiving one or more search terms related to the plurality of virtual machine images;
• locating a stored virtual machine image for one virtual machine based on the one or more search terms;
• and
• installing the stored virtual machine image for another virtual machine.