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KubePulse screenshot
2026 · AIOPS

KubePulse

KubePulse watches Kubernetes pod metrics in real time and predicts memory-related failures before they cause an outage. A hybrid LSTM + LightGBM model trained on Prometheus metrics flags anomalies ahead of the breach, a custom Prometheus exporter feeds the prediction back into the cluster for autoscaling, and Gemini 1.5 Pro generates the exact kubectl remediation command once an anomaly is confirmed.

Stack
PythonGoTensorFlowLightGBMKubernetesPrometheusLangChainGemini 1.5 ProDocker
Highlights
  • Hybrid LSTM + LightGBM model on Prometheus metrics cut CrashLoopBackOff events 38% versus threshold-based alerting
  • Custom Prometheus exporter surfaces a predicted-memory metric that drives HPA autoscaling directly
  • Gemini 1.5 Pro generates targeted kubectl remediation commands on confirmed anomalies, cutting MTTR 40%