From observability to Controllability

Control Your Observability. Optimize Value, Manage Cost.

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OBSERVABILITY IS BROKEN

Siloed data, exploding complexity, vendor lock-in, soaring telemetry volumes, and escalating costs.

Why has observability lost its way?

Because observability without controllability is only half the solution.

“IN CONTROLTHEORY, THE OBSERVABILITY
AND CONTROLLABILITY OF A LINEAR
SYSTEM ARE MATHEMATICAL DUALS.”

Professor Rudolf E. Kálmán, Father of Modern Control Theory

OBSERVABILITY + CONTROLLABILITY

CONTROL
YOUR OBSERVABILITY

Optimize value. Manage cost.
Based on only what you need.
Exactly when you need it.
And for whom.

CONTROL
YOUR OBSERVABILITY

Optimize value. Manage cost.
Based on only what you need.
Exactly when you need it.
And for whom.

CONTROLTHEORY PLATFORM

Open Observability

  • Accelerate OpenTelmetery (OTel) adoption & open observability
  • Simplify OTel, hide complexity
  • Prevent vendor lock-in

Closed-Loop Control

  • Lower cost & improve eng productivity, push control to the edge
  • Unlock new KPIs across existing/new telemetry streams
  • Dynamically shape, enrich, transform and manage your data based on utility, need & context

Observability Policy & Governance

  • Visibility, reporting & notifications of consumption
  • Define team quotas, get early warnings signals of overages
  • Secure & compliant oversight & controls

ControlTheory Platform

Use Cases

ANALYZE YOUR OBSERVABILITY

  • Report on signals by cardinality and data volume/cost contribution
  • Prioritize logs, metrics and traces based on need, context & utility
  • Understand telemetry flows real time & historically

OPTIMIZE OBSERVABILITY EFFICIENCY

  • Shape and transform telemetry through early enrichment,
  • Control and filter high cardinality metrics/labels
  • Redact sensitive data, filter unneeded logs & route to low cost aggregation & routing storage

AMPLIFY OBSERVABILITY VALUE

  • Create and amplify new (derived) insights across previously siloed data types & streams
  • Identify and route targeted telemetry to enable other business
  • Unlock new use cases like AI with the right telemetry, in the right consumers place at the right time
  • Define team quotas, get early warnings signals of overages
  • Secure & compliant oversight & controls

ACHIEVE CONTROLLABILITY

  • Centralize observability policy and governance
  • Tame high cardinality and exploding data growth – change policies on the fly with no code change or app redeploys
  • Set team quotas and visibility, reduce noise, improve signal & operational efficiency
  • Accelerate OpenTelemetry adoption
AMPLIFY
ANALYZE
OPTIMIZE

CONTROL

Use cases

WHO NEEDS CONTROL?

PLATFORM ENGINEERS, SRES, OPs

An open observability control plane is the only answer to high costs and missing coverage for eng/dev teams.

Understand and control observability cost & value without app code changes
Govern and delegate observability to eng teams
Get full coverage when & where its needed

ENGINEERING
LEADERS

Controlling observability lets you manage high costs while efficiently delivering new custom metrics and business insights

Eliminate tough CFO conversations & surprises
Unlock business insights from your
observability
Improve eng productivity & satisfaction

DEVELOPMENT
TEAMS

An open observability control plane is the only answer to high costs and missing coverage for eng/dev teams.

Stop wasting time on telemetry optimization projects
Instrument freely with confidence
Improve your on call experience

About

Observability is defined as “a measure of how well internal states of a system can be inferred from knowledge of its external outputs. The observability and controllability of a linear system are mathematical duals.” While observability has exploded over the last 10 years, the lack of equivalent controllability helps explain the massive imbalance in value delivered versus cost incurred.

The ControlTheory platform accelerates the adoption of open observability by simplifying OpenTelemetry deployment to efficiently balance observability cost with utility, unlock previously hidden business KPIs and custom metrics, and better resolve issues. By controlling observability, platform, operations, and engineering leaders can manage high costs while efficiently delivering new custom metrics and business insights, eliminating tough CFO conversations and surprises, and unlocking business insights from your observability.

Bob Quillin

CEO

Eric Anderson

CTO

Robert B Gordon

Chief Engineer

Jonathan Reeve PhD

CPO

About

Observability is defined as “a measure of how well internal states of a system can be inferred from knowledge of its external outputs. The observability and controllability of a linear system are mathematical duals.” While observability has exploded over the last 10 years, the lack of equivalent controllability helps explain the massive imbalance in value delivered versus cost incurred.

The ControlTheory platform accelerates the adoption of open observability by simplifying OpenTelemetry deployment to efficiently balance observability cost with utility, unlock previously hidden business KPIs and custom metrics, and better resolve issues. By controlling observability, platform, operations, and engineering leaders can manage high costs while efficiently delivering new custom metrics and business insights, eliminating tough CFO conversations and surprises, and unlocking business insights from your observability.

Bob Quillin

CEO

Eric Anderson

CTO

Robert B Gordon

Chief Engineer

Jonathan Reeve PhD

CPO

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