Intelligent Telemetry Control

Control Your Telemetry

Illuminate

Discover new insights with telemetry Meta-Metrics

Optimize

Transform telemetry to control cost & operations with Elastic Telemetry Pipelines

Govern

Set policies to control, manage your fleet powered by OTel

Controllability Use Cases

Illuminate Current Observability

Why is my observability costing so much? Where is it coming from? Or going to? How do I make sure I catch new spikes before my bill arrives? Which application, namespace, repo, team, or developer commit triggered the change? Proactively pinpoint cost hotspots, instrumentation gaps, and observability behavior changes.

Meta-metrics to uncover hidden insights

Observability of your observability

Deep insights to get your hands around observability usage, spikes, attribution, and behavior changes

Cost Control Use Case

Optimize & Transform Telemetry

Elastic Telemetry Pipelines leverage feedback loops for cost control, operational control, and adaptive two-way feedback to auto-scale, auto-tune, and continuously improve. Shape telemetry in flight to lower cost and improve root cause and incident management by detecting spikes, reducing metric cardinality, intelligently rerouting, filtering, and tail-sampling logs and traces.

Enrich, filter and deduplicate logs and metrics to reduce cost, increase signal

Route infrequently needed logs, traces to object storage, rehydrate when needed

Detect and reduce high cardinality of custom metrics to save costs

Mask, redact, or obfuscate for compliance, privacy

Create New Insights

Govern Observability Usage

Setting and enforcing observability usage policies will control costs and increase operational efficiency. Elastic Telemetry Pipelines provide in-flight governance for adaptive and programmable enforcement, either human-in-the-loop (HITL) or through autonomous safety guardrails. Powered by OpenTelemetry, ControlTheory integrates with any existing instrumentation and observability platform, future-proofing control and avoiding vendor lock-in.

Use any telemetry source – existing or new

Manage and govern OTel collector fleet health and configuration at scale

Open control via open OTel control plane

Leverage OTel collectors & gateways

Manage OTel Fleets

ControlTheory

How It Works

The Control Plane pattern maximizes scalability, security, privacy, and performance. This pattern optimizes data sovereignty and ensures data agency for a customer’s sensitive observability data. ControlTheory manages the control plane and thus is NOT in the data flow and maintains a clear separation of concerns, moving control, orchestration, management, and governance above the data layer.

Management Plane

SaaS based management console enables global policy controls, “meta metrics” visualization & feedback, and fleet heath monitoring & configuration, avoiding custom scripts and “glue”.