Controllability Use Cases

Intelligently Control Your Telemetry

Cost Control
Operational Control
Adaptive Control
Fleet Control

Cost Control

Observability cost spikes happen – they might be happening right now. Why wait for your next bill to find out? Or to hear it from your CFO or VP at the end of the quarter. Proactively control your telemetry to avoid another observability bill surprise.

• Pinpoint spikes and cost hotspots
• Reduce cardinality for custom metrics
• Filter, dedup, re-route logs
• Traceback to orgs, teams, apps, users

Operational Control

Root cause analysis is getting harder. MTTR is rising. And observability is failing to do its job. Controllability makes operations better, to get to root cause faster, more precisely. With new insights that don’t cost an arm and a leg while increasing your signals while decreasing noise.

• Prevent observability bill surprises
• Reduce MTTI, MTTR – more signal, less noise
• Accelerate OTel and AI projects
Manage & govern OTel collector fleets at scale

Adaptive Control

Observability is too brittle. Current telemetry pipelines are static, one-way valves with no feedback controls. Unable to adjust on the fly or interact with the systems around them. Controllability requires adaptive control that’s open – Elastic Telemetry Pipelines auto-scale observability and proactively adapt to change.

• Dynamic feedback loops
• Continuous improvement & adjustment
• Auto-scale for new releases, iterative RCA
• Migrate, consolidate