Perceptive scaling of computing resources

A method of perceptive scaling of computing resources, comprising:

• executing, on a processor, instructions that cause the processor to perform operations associated with perceptive resource scaling, the operations comprising:
• invoking machine-learning-based text analysis to identify a future event and date of occurrence from an electronic news source;
• determining an event type based on analysis of context surrounding the event in the electronic news source;
• identifying a computing resource impacted by the event based on the event type and metatag associated with the computing resource that identifies the event type as affecting the computing resource;
• generating a scaling strategy for the computing resource;
• and
• triggering execution of the scaling strategy a predetermined time before the date.

A computer-implemented resource scaling method, comprising:

• identifying a previously unknown future event and date of occurrence from an electronic news source with automated text analysis;
• determining a type of the event based on analysis of context surrounding the future event in the electronic news source;
• identifying a computing resource affected by the event based on the type of the event and metatags associated with computing resources that indicate event types that impact a computing resource;
• generating a scaling strategy for the computing resource, wherein the scaling strategy adds computing resources to support an additional load from the event;
• and
• triggering execution of the scaling strategy at a predetermined time before the date of occurrence.