Build a SaaS^? tool that ingests infrastructure metrics, logs, endpoint/device telemetry, network events, and application performance data, then correlates weak signals into proactive risk alerts. It would provide service-health dashboards, SLA^? risk scoring, alert triage, and recommended remediation actions for cloud, Kubernetes, middleware, endpoint, and data center environments.

Multiple companies are hiring for proactive monitoring, alerting, diagnostics, and incident prevention across cloud, data center, endpoint, and security operations. This suggests demand for tooling that reduces manual monitoring workload and helps teams catch issues before escalation.