Cross-link coarse Disk IO infra charts to detailed observability views

Infrastructure and SRE teams in mid-to-large engineering organizations regularly hit a wall when coarse-grained Disk IO charts (cluster- or host-level heatmaps) don’t link deterministically into the traces, logs, and per-pod metrics needed to diagnose root causes. That forces manual context switching across consoles and teams, costing often tens of person-hours per incident at organizations with 50–500 engineers and contributing to inflated observability queries and spend. You could build a lightweight middleware and adapter bundle that generates and resolves deterministic deep links from aggregate Disk IO visualizations into pre-filtered observability views by leveraging OpenTelemetry resource identifiers and a mapping layer that translates host/volume IDs to traces, logs, and metric filters. The product would include adapters for 6–8 common consoles, preserve timestamp and span context across navigation, and offer optional correlated cost-analysis and incident-opening workflows to make links immediately actionable. This is an attractive time to enter: we estimate a $10.0B addressable market (200,000 engineering orgs at $50K ACV) driven by cloud-native consolidation, rising OpenTelemetry adoption, and a shift toward usage-based observability where customers want links that save time and costs rather than raw metrics. Market and revenue signals (85/100 market score, 78/100 revenue potential) suggest strong demand provided execution is fast. To stand out you must be defensible on technical correctness (deterministic linking via OpenTelemetry), breadth (prebuilt adapters), and measured UX improvements (reduce time-to-insight by concrete multiples), but be candid about challenges: mapping identifiers across heterogeneous stacks, handling cross-console auth/permissions, and overcoming incumbent inertia in observability workflows.