Expose OS memory-pressure in traces to inform eviction and dashboards

Expose OS memory-pressure in traces to inform eviction and dashboards targets a $35B = 100,000 orgs x $350K ACV (global observability/APM market for enterprises and cloud providers) total addressable market with medium saturation and a year-over-year growth rate of 12-20% annual growth in observability, tracing, and profiling adoption driven by cloud-native migration.

Key trends driving demand: Cloud-native operations -- increased adoption of Kubernetes and dynamic workloads raises need for runtime memory signals that inform scheduling and eviction.; eBPF and kernel telemetry -- production-safe, low-overhead kernel observability makes it practical to surface OS-level metrics per trace sample.; Cost and reliability pressure -- rising cloud egress and instance costs push teams to optimize memory usage and avoid costly OOMs and node evictions.; Converged observability -- customers prefer unified traces + infra signals in a single UX rather than stitching dashboards across tools..