DigitalOps needs high-volume telemetry from applications, edge and CDN infrastructure, bots, and security systems. That data should be available at full fidelity, queryable in near real time, and retained long enough for trend analysis and ML model training. Sampled or heavily aggregated data creates blind spots that show up only when something goes wrong.