Slash cloud observability bills with a lean 80/20 monitoring stack

Many SMB and mid-market companies running cloud infrastructure are grappling with runaway observability bills as telemetry volume explodes; with roughly 300,000 target companies spending on average ~$60K ACV, the addressable market is about $18.0B and the pain is both financial and operational. Engineering teams frequently waste cycles on high-cardinality metrics, excessive traces, and verbose logs that balloon vendor bills and lengthen time-to-restore, a problem especially acute for startups and growth-stage firms under cost pressure. You could build a lean "80/20" monitoring stack that prioritizes the signals that resolve most incidents by default: an offering that combines eBPF-driven low-overhead telemetry, configurable sampling and rollups, and managed pipelines for Prometheus/Grafana/Loki/Tempo to cut ingestion and storage costs. Delivered as either a managed service or easy-to-run self-hosted stack, it would lean on OSS to reduce vendor lock-in, include migration tools and conservative defaults, and surface measurable cost savings for finance and engineering stakeholders. The timing is attractive because OSS observability components are production-ready, eBPF enables high-fidelity without heavyweight agents, and cloud-cost sensitivity is forcing buyers to reconsider expensive hosted monitoring; the market score of 92/100 and revenue potential of 88/100 reflect this window. To stand out you must demonstrate clear, verifiable ROI (for example, 50%+ reductions in telemetry spend), provide frictionless migrations and integrations with incident workflows, and accept the core challenges: convincing teams to prune signals, avoiding operational blind spots with overly aggressive sampling, and competing with established vendors.