Executive Summary

Engineering teams building API-first backends and migrating workloads to edge and serverless runtimes lack visibility into Data API activity that happens at the edge before requests hit PostgREST, which obscures early latency spikes, authentication failures, and malformed requests; this is a practical pain for platform and backend teams at mid-to-large enterprises—roughly 20,000 organizations spending about $2,000/year on developer tooling—who need full request lifecycle observability. PostgREST and standard tracing typically only capture downstream behavior, leaving the ingress/edge layer as a repeated source of incidents and slow mean-time-to-resolution. You could build a lightweight, vendor-neutral observability layer that captures and normalizes edge/Data API logs and metadata at ingress—before PostgREST—enriches them with schema- and SQL-aware context, and exposes that data through low-latency dashboards, a queryable Data API, alerting, and automatic correlation with traces and PostgREST logs. The product would use edge-side collectors compatible with Vercel, Cloudflare Workers and Fastly, provide a PostgREST mapping layer to link HTTP requests to SQL queries and affected rows, and offer policy-driven redaction and tiered pricing (per-GB ingest + enterprise platform fees). It should also include plug-ins for major observability vendors so teams can adopt incrementally. This market is timely: observability plus API management is an approximately $40B addressable market today (roughly 20,000 enterprises x $2,000/year developer-tooling plus ~$1.99B aggregated platform spend), and trends toward API-first design, edge migrations, and consolidated observability increase demand now—our market score 88/100 and revenue potential 72/100 reflect solid opportunity tempered by execution risk. The product can stand out by focusing on the pre-PostgREST gap—sub-millisecond capture at the edge, schema-aware parsing, simple PostgREST wiring and privacy-safe defaults—but realistic challenges include instrumenting heterogeneous edge platforms, operating at high telemetry volumes, and differentiating from incumbent observability vendors who are bundling logs, metrics and traces.

Market Opportunity

Clarify observability: surface Data API (edge logs) before PostgREST in overview targets a $40.0B = global observability + API management market (~20,000 enterprises x $2,000/year avg developer-tooling + $1.99B platform spend aggregated) total addressable market with medium saturation and a year-over-year growth rate of 18%+ combined CAGR for observability and API management over next 3–5 years.

Key trends driving demand: API-first backends -- teams are building more HTTP/edge APIs, increasing demand for edge/API observability.; Edge & serverless -- migrations to edge runtimes surface new latency/failure modes needing dedicated metrics.; Consolidation of observability -- vendors and platforms are bundling logs, metrics, and traces for correlated troubleshooting.; Developer experience commoditization -- platforms compete on DX by exposing precise, integrated telemetry for rapid debugging..

Key competitors include Datadog, Grafana Labs, Kong (API gateway), PostgREST (open source), Amazon API Gateway.

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Clarify observability: surface Data API (edge logs) before PostgREST in overview

Executive Summary

Market Validation

Market Opportunity

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