Dynamic discovery of applications, external dependencies, and relationships

One or more computer-readable storage media containing instructions which, when executed by one or more processors disposed on an electronic device, perform a method for dynamically discovering, in an automated manner, local applications running in a monitored environment comprising a group of servers, the method comprising the steps of:

• determining a service environment to which a discovered local application belongs, the service environment being a group of service groups that serve a common consumer, a service group being a group of local applications that provide a common function to the common consumer;
• building a health map that reflects health data sources in the monitored environment, the health data sources including one of events, performance counters, or synthetic transactions;
• discovering an addition of a new local application to the monitored environment or deletion of an existing local application from the monitored environment;
• dynamically updating the health map in response to the detected addition and deletion;
• creating a new service group and a service environment for the new local application;
• performing root cause analysis of failures using the dynamically updated health map;
• and
• reporting results of the root cause analysis.

A system, comprising:

• at least one processor;
• and
• memory operatively coupled to the at least one processor for storing computer-readable instructions that, when executed by the at least one processor, implement a health monitor that performs a method for monitoring servers and external resources in a monitored environment, the method comprising the steps of:
• discovering additions or deletions of new local applications to and from the monitored environment or deletion of an existing local application from the monitored environment,
• discovering additions and deletions of external resources to and from the monitored environment, the resources being either partitioned or non-partitioned,
• attributing monitored health indicators either to a health of the local application or to a health of an external resource, and
• making health decisions using the attributed monitored health indicators.