Cloud Infrastructure Heartbeat & System Telemetry Dataset – Multi-Environment – enUS

This synthetically generated dataset contains detailed heartbeat and system telemetry logs collected from diverse agent types — including SCOM Agent, Direct Agent, Azure Monitor Agent, and Azure Arc — across Linux and Windows systems in Azure and non-Azure environments. Each record includes: - System & OS details – OS type, name, version, and environment classification (Azure, Non-Azure) - Agent context – Agent channel, gateway installation status, and installed monitoring solutions (e.g., Security Insights, Security Center, Behavior Analytics) - Network metadata – Computer IP, private IPs, remote IP geolocation (longitude, latitude, country) - Cloud resource details – Subscription ID, resource group, provider, resource name/type, and resource IDs - Operational status – Time generated, heartbeat type, and associated management groups The dataset spans multiple global regions, covering production, staging, development, and test workloads across VMs, web apps, and container clusters. It captures both benign operational activity and signals that may indicate configuration drift, policy enforcement gaps, or abnormal system behavior. Supports use cases such as SOC enrichment, cloud infrastructure monitoring, compliance validation, and AI/ML-based anomaly detection. Helps solve problems like detecting misconfigurations before they cause outages, identifying systems with outdated agents or missing security controls, and tracking asset health across hybrid and multi-cloud estates. Because it is synthetically generated to mirror the complexity and diversity of real-world telemetry without exposing sensitive operational data, it is highly valuable for customers training AI/ML models for configuration drift detection, operational performance baselining, and predictive maintenance—without the compliance risks of production logs.