Fuzzy Logic in AI-Driven DevOps Automation
Using approximate reasoning to make adaptive infrastructure decisions from multiple imperfect operational signals.
This is a concise portfolio reading guide to my published Medium article. For the complete original text, examples and diagrams, use the Medium link below.
Beyond binary thresholds
Fuzzy membership functions model low, medium and high resource demand instead of relying on one fixed threshold.
Multiple inputs
The example combines CPU, memory, network latency and request rate to evaluate scaling actions.
Implementation perspective
The article walks through Python, scikit-fuzzy and Kubernetes integration concepts, with monitoring via Prometheus and Grafana.