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Executive Summary

Many engineering teams are routinely surprised by “unaccounted” memory: allocator-level accounting (malloc/new) reports one number while the OS RSS for the process is consistently tens or hundreds of megabytes higher, especially in Node.js stacks with native modules, WebAssembly-heavy services, and mixed-language backends. That gap frustrates SREs and backend engineers at mid-to-large software orgs because it increases mean time to identify (MTTI) memory regressions, drives cloud bill surprises, and consumes costly debugging cycles; roughly 200,000 software organizations spending an average of $60K/year on observability represent the addressable customers behind this pain. The product would instrument allocators and the OS simultaneously and embed RSS samples into allocator traces so you can see, in a single timeline, allocator allocations, deallocations, fragmentation metrics, and the concurrent OS RSS delta attributed by stack, thread, or native library. Delivered as lightweight runtime SDKs and an integration for existing APM/profiler platforms, it would include differential views (allocator vs RSS), root-cause fingerprints for regression detection, and export hooks to correlate with traces and metrics. This is a favorable moment: the market for observability and profiling is roughly $12.0B and consolidating toward vendors that offer correlated telemetry, and the Revenue Potential and Market Score (86/100 and 78/100 respectively) reflect both demand and willingness to pay for tooling that shortens debugging cycles and controls infrastructure cost. Trends—more native dependencies in web runtimes, tighter cost/performance SLAs, and a push to consolidate tracing/metrics/profiles—mean buyers are actively seeking solutions that expose the blind spot between allocator accounting and OS-level memory. Differentiation comes from precise correlation (show me which allocation context explains the RSS jump), minimal runtime overhead, and cross-runtime coverage (Node, JVM, native, and wasm hosts) rather than a single-language profiler extension; low competitive density is an advantage but not a guarantee. Key challenges are accurate attribution across OS/platform differences, keeping instrumentation safe and low-overhead in production, and convincing teams to add another telemetry SDK—addressing those will require open integration points, clear ROI case studies, and strategic partnerships with existing APM/profiler vendors.

Executive Summary

Expose OS process RSS in allocator traces to reveal unaccounted memory

Executive Summary

Expose OS process RSS in allocator traces to reveal unaccounted memory

Executive Summary

Market Validation

Market Opportunity

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