Distributed Tool for Detecting States and State Transitions in Remote Network Management Platforms

A method comprising:

• receiving and storing, by a time-series server device disposed within a remote network management platform, pre-defined trigger configurations;
• receiving and storing, by the time-series server device, a stream of time-series data, wherein the pre-defined trigger configurations define states and state transitions for the received time-series data;
• applying, by way of a trigger engine of the time-series server device, the pre-defined trigger configurations to the received time-series data to determine observed states and state transitions in the time-series data;
• storing, in transition storage of the time-series server device, representations of the observed states and state transitions;
• receiving, by the time-series server device and from a client device, a request for the observed states and state transitions;
• and
• transmitting, by the time-series server device and to the client device, a representation of the observed states and state transitions.

A method comprising:

• transmitting, by a computing device, pre-defined trigger configurations to a time-series server device, wherein the time-series server device is disposed within a remote network management platform;
• transmitting, by the computing device, a stream of time-series data to the time-series server device, wherein the pre-defined trigger configurations define states and state transitions for the received time-series data;
• and
• repeatedly polling and receiving, by way of one or more worker threads executing on the computing device, the representations of observed states and state transitions from the time-series server device, wherein the observed states and state transitions are determined by application of the pre-defined trigger configurations to the received time-series data.