System Interaction Monitoring And Component Scaling

A computer implemented method, comprising:

• receiving metadata describing interaction events taking place at services included in a group of services executing in a computing service environment, using one of one or more processors;
• analyzing the metadata to identify a first interaction load for a first service included in the group of services that will result in impacting a second interaction load for a second service included in the group of services, using one of the one or more processors;
• determining that the first interaction load for the first service will impact the second interaction load of the second service, using one of the one or more processors;
• and
• notifying the second service of an impending impact on the second interaction load resulting from the first interaction load, using one of the one or more processors, wherein scaling of the second service is performed based in part on the impending impact on the second interaction load.

A non-transitory machine readable storage medium having instructions embodied thereon, the instructions when executed by at least one processor:

• receive metadata describing API request events taking place at services included in a group of services executing in a computing service environment, wherein the group of services are associated via a dependent API request flow;
• analyze the metadata to identify API request patterns associated with the API request events;
• identify an API request pattern that impacts a first API request load of included the group of services and has an anticipated impact on a second API request load of a second service included in the group of services, wherein the group of services indirectly depend on the second service;
• and
• notify the second service of the anticipated impact on the second API request load resulting from the first API request load, wherein the second service is scaled according to the anticipated impact on the second API request load.