High-fidelity synthetic metrics data

A computer program product comprising one or more computer readable storage media having program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:

• monitor a target system to collect at least one data metric;
• pre-process the at least one data metric as a seed based on a predetermined policy;
• encode the pre-processed seed using a transform;
• post-process the encoded seed in a frequency domain;
• generate synthetic metrics data by applying an inverse transform to the post-processed seed;
• and
• train an artificial intelligence (AI) model using the generated synthetic metrics data.

A system comprising:

• a processor set, one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:
• monitor a target system to collect at least one data metric;
• pre-process the at least one data metric as a seed based on a predetermined policy;
• encode the pre-processed seed using a transform;
• post-process the encoded seed in a frequency domain;
• generate synthetic metrics data by applying an inverse transform to the post-processed seed;
• capture a plurality of labels and values in the pre-processed seed;
• capture a plurality of logs and traces in the pre-processed seed;
• apply the plurality of labels, values, logs, and traces to the generated synthetic metrics data;
• and
• train an artificial intelligence (AI) model using the generated synthetic metrics data.