Linux System Telemetry Dataset for Memory Pressure and Resource Contention Anomaly Detection (Version 1.0)

This dataset contains multivariate system-level telemetry collected from a Linux server over a continuous 20-day monitoring period. Data were recorded at fixed 60-second intervals between 27 July 2025 (17:41:58) and 16 August 2025 (22:37:57). The dataset consists of 29,095 time-stamped observations. Each observation includes 13 numerical system metrics describing CPU utilisation, memory usage, buffer and cache behaviour, and swap activity. The dataset contains both baseline system behaviour and controlled workload-induced anomaly periods generated through bounded memory pressure and high-concurrency request bursts. This enables reproducible research in anomaly detection and resource contention analysis. The dataset is suitable for: Anomaly detection Predictive system monitoring Resource contention analysis Time-series modelling Explainable AI for system diagnostics