Open-source observability platform with unified logs, metrics, traces
Built for DevOps and platform engineers at cost-conscious startups.
“@prabhat_sharma5 The storage cost argument is real. We switched one project off Datadog partly because costs were scaling faster than the actual product. The un…”
The receipts — real demand
“@prabhat_sharma5 The storage cost argument is real. We switched one project off Datadog partly because costs were scaling faster than the actual product. The unified logs/metrics/traces in one query layer is what I kept wishing Datadog had.”
Full dossier
Unlock the full dossier — free
Every corroborating quote, the source receipts, and the community echo. One email, no payment.
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
DevOps and platform engineers at cost-conscious startups need unified logs, metrics, and traces without Datadog's runaway bills; the Twitter/Reddit signal shows real cost pain, but no search volume data indicates this is a subset of the observability market, not the whole.
Competition & the opening
Grafana Stack, OpenTelemetry + Jaeger + Prometheus, SigNoz, Elastic Observability, Apache SkyWalking, and Hyperdx are all open-source or cheap alternatives (9/10 crowded). The gap is integration ease or UI polish, but all six already solve unified observability—signals don't show a missing feature, just complaints about price.
What's hard to build
Building a scalable time-series database, ingestion pipeline, and query engine that rivals Prometheus + Loki is years of infrastructure work. Incumbents like Grafana and Elastic have massive communities; competing on features alone means constant catch-up.
Why now
Datadog storage costs now a top cost-control driver; Grafana Stack fragmentation and SigNoz immaturity leave gap for production-grade open-source unified observability.
How you'd monetize
Open-source (free) + optional cloud SaaS ($99–499/mo based on data retention/ing