Optimize large-trace load hot path with eager interning (Rust)

Optimize large-trace load hot path with eager interning (Rust) targets a $30.0B = 1.5M developer orgs x $20K ACV (global observability & tracing market accessible to tooling vendors) total addressable market with medium saturation and a year-over-year growth rate of 18% (observability/tracing segment growth driven by distributed systems complexity).

Key trends driving demand: Observability consolidation -- customers prefer fewer, higher-quality tracing/observability pipelines to reduce costs and cognitive load.; Rising trace volumes -- monorepos, CI/CD pipelines, and distributed builds create larger traces and longer ingestion paths, increasing focus on ingestion efficiency.; Rust adoption in infra -- increased use of Rust in performance-sensitive infra (like bundlers and agents) enables deeper, safe optimizations at low-level hot paths.; Cost sensitivity -- cloud and telemetry bills prompt teams to optimize memory and CPU on ingestion rather than just throwing hardware at the problem..