Observability Control Platform

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Control Your Observability

Illuminate

Discover new insights with observability Meta-Metrics

Optimize

Transform telemetry to control cost & operations with Elastic Telemetry Pipelines

Govern

Set policies to control, manage your fleet powered by OTel

What is Controllability?

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? How do you get new KPIs for your business such as capacity metrics and trends, overall health, or COGs? Proactively pinpoint cost hotspots, instrumentation gaps, and observability behavior changes. The ControlTheory Observability Control Platform illuminates your current observability with:

Meta-metrics to uncover hidden insights
Observability of your observability
Deep insights to get your hands around observability usage, spikes, attribution, and behavior changes

Optimize & Transform Telemetry

Elastic Telemetry Pipelines leverage feedback loops for cost control, operational control, and adaptive control. Unlike static, one-way telemetry pipelines, Elastic Telemetry Pipelines use adaptive two-way feedback to auto-scale, auto-tune, and continuously improve. Shaping telemetry in flight will dramatically 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

Govern Observability Usage

Setting and enforcing observability usage policies will control costs and increase operational efficiency. Forcing developers to adhere to these policies is easier said than done. While important to educate and set source code observability guidelines, 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

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”.

Control Plane

Open Control Planes (leveraging OpAMP) allow for multiple segregated collector fleets and policies, for separation of concerns.

Data Plane

Open Data Plane leverages the standard upstream OTel collector (using OpAMP) packages and configurations to avoid lock in.