Problem Definition
Problems DevOps/SRE teams face when building monitoring:
- Metric Understanding: Finding the right metric among thousands is difficult
- Scattered Documentation: OpenTelemetry, Prometheus, K8s each have different docs
- Missing Context: Metric names alone don’t explain their purpose
- Duplicated Effort: Every team researches the same metrics repeatedly
Market Analysis
| Metric | Value |
|---|---|
| Observability Market Size (2026) | $34.1B |
| Expected Growth Rate | CAGR 19.7% |
| Projected 2035 Size | $172.1B |
Target Customers: DevOps engineers, SRE, platform teams
Solution: Metric-Registry
A searchable catalog of 3,700+ observability metrics.
Core Features
- Unified Search: Search OpenTelemetry, Prometheus, K8s metrics in one place
- Auto Updates: Automatically syncs from source repositories
- Context Provided: Each metric’s purpose, usage examples, related metrics
- Open Source: Community contributions welcome
Supported Sources
- OpenTelemetry Collector receivers
- Prometheus exporters (PostgreSQL, Redis, MySQL, MongoDB, Kafka)
- Kubernetes metrics (kube-state-metrics, cAdvisor)
- LLM observability libraries
Competitive Landscape
| Competitor | Focus | Weakness |
|---|---|---|
| Datadog | Full platform | Limited metric catalog |
| Grafana | Visualization | Difficult metric discovery |
| New Relic | APM | Poor custom metric docs |
Competition Intensity: High (big players, but specialized catalog is niche)
MVP Development Plan
| Phase | Duration | Scope |
|---|---|---|
| Phase 1 | 2 weeks | Web crawler, parser development |
| Phase 2 | 2 weeks | Search index construction |
| Phase 3 | 2 weeks | Web UI development |
| Phase 4 | 2 weeks | API and CLI |
Total MVP Duration: 6-8 weeks Tech Stack: Python/Go, Elasticsearch, React
Revenue Model
| Plan | Price | Features |
|---|---|---|
| Free (OSS) | $0 | Basic search, community |
| Pro | $15/mo | API access, advanced filters |
| Team | $49/mo | Private metrics addition |
| Enterprise | Contact | On-premise, custom |
Expected MRR (12 months): $2,000 - $8,000
Risk Analysis
| Risk | Level | Mitigation |
|---|---|---|
| Technical | Low | Web crawling is proven tech |
| Market | Medium | Free alternatives may suffice |
| Execution | Medium | base14 has first-mover advantage |
Recommendation
- Domain Fit: monitoring, devops (preferred domains)
- Tech Fit: Backend, search (skill match)
- Community Contribution: Build awareness through open source
- B2B Expansion: Can scale to enterprise customers
Overall Score: 83/100