Unsupervised learning to simplify distributed systems management

A system, comprising:

• at least one hardware processor;
• a memory device coupled with at least one hardware processor;
• the at least one hardware processor operable to:
• receive data associated with performances of microservices functioning in a distributed computing environment;
• cluster the data into clusters by executing an unsupervised machine learning algorithm;
• select a representative data from a cluster, the selecting performed for a plurality of the clusters;
• based on time series data of the representative data associated with the plurality of the clusters, perform a causal extraction;
• construct a causal graph based on the causal extraction and the plurality of the clusters;
• embed the causal graph into vector space;
• and
• based on the embedded vector space, train an artificial neural network model for managing the distributed computing environment.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:

• receive data associated with performances of microservices functioning in a distributed computing environment;
• cluster the data into clusters by executing an unsupervised machine learning algorithm;
• select a representative data from a cluster, the selecting performed for a plurality of the clusters;
• based on time series data of the representative data associated with the plurality of the clusters, perform a causal extraction;
• construct a causal graph based on the causal extraction and the plurality of the clusters;
• embed the causal graph into vector space;
• and
• based on the embedded vector space, train an artificial neural network model for managing the distributed computing environment.