Systems and methods for tracing cloud service costs

A method comprising:

• receiving data corresponding to a first node cluster in real-time as part of live tracking of cloud services, the first node cluster indicative of a plurality of cloud services utilized by one or more users;
• extracting metrics associated with the plurality of cloud services;
• identifying, using a lookup table, a first user device associated with at least a first user of the one or more users that executed a first task associated with the plurality of cloud services based on a gateway address to obtain network layer information of the first user device;
• determining a relationship between each cloud service of the plurality of cloud services based on the metrics and the network layer information, wherein the relationship comprises at least one of a run-time dependency and an operational dependency between a first cloud service and a second cloud service of the plurality of cloud services;
• determining one or more costs associated with the first node cluster, the one or more costs based on the relationship;
• determining, based on the metrics, whether the first node cluster is utilized within a predetermined threshold;
• responsive to determining the first node cluster is not utilized within the predetermined threshold, automatically scaling a size of a system based on one or more second node clusters remaining in the system;
• and
• deploying, based on an optimized resource configuration generated from current activity and inactivity of the plurality of cloud services within the scaled system, a second plurality of cloud services to the one or more users via the one or more second node clusters.

A system comprising:

• one or more processors;
• and
• a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
• receive, in real-time, data corresponding to a first node cluster, the first node cluster indicative of a plurality of cloud services utilized by one or more users;
• extract metrics associated with the plurality of cloud services, wherein the metrics comprise a time-ordered set of data points associated with the plurality of cloud services;
• identify, using a lookup table, a first user device associated with at least a first user of the one or more users that executed a first task associated with the plurality of cloud services based on a gateway address to obtain network layer information of the first user device;
• dynamically determine a relationship between each cloud service of the plurality of cloud services based on the network layer information, wherein the relationship comprises at least one of a run-time dependency and an operational dependency between a first cloud service and a second cloud service of the plurality of cloud services;
• determine whether the first node cluster is utilized within a predetermined threshold;
• responsive to determining the first node cluster is not utilized within the predetermined threshold, automatically scaling a size of the system based on one or more second node clusters remaining in the system;
• generating an optimized resource configuration based on current activity and inactivity of the plurality of cloud services within the scaled system, and
• deploying, based on the optimized resource configuration, a second plurality of cloud services to the one or more users via the one or more second node clusters.