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Observability is out of control. Current approaches to observability are buckling under the weight of ballooning telemetry volumes, escalating complexity, soaring costs, and disappointing results. Organizations are being locked into proprietary, closed, and siloed tools that are rigid, brittle, and static. MTTR is still on the rise, root cause analysis hasn’t improved, and key business KPIs remain hidden. Add to that, impending AI projects are poised to make all this exponentially worse! More code. New stacks. And more data-hungry AI apps.

But what if observability were controllable – so you could cut costs, streamline operations, and better respond to changes?

Controllability is the answer. Controllability enables you to regain control of your existing observability sprawl through cost control, operational control, and adaptive control.

“In control theory, the observability and controllability of a linear system are mathematical duals.”

Professor Rudolf E. Kálmán

Father of Modern Control Theory

By adding feedback loops to observability a true control system can emerge that rebalances observability with controllability. In the science of Control Theory, observability and controllability go hand in hand as peers or duals. ControlTheory brings controllability to today’s observability ecosystem. Collection gets smarter. Analytics get better. Costs go down. Signal goes up. Noise is reduced. Better RCA. Better MTTR. Better code.

Observability needs to evolve to meet the next decade of challenges. Transformation requires agility and adaptability. Over the last 10 years observability has delivered tremendous value and innovation, but innovation has given way to consolidation, stagnation, and frustration. ControlTheory brings new inspiration. Systems have grown too rigid and brittle for organizations to actively control their destiny to support whatever their business requires: migrations, consolidations, improvements to RCA and MTTR improvements, security and compliance, and the introduction of new AI technologies.

ControlTheory and Controllability. Regain control of your observability.

Our Team

We are a team of observability veterans with a track record of successful startups—including StackEngine (acquired by Oracle Cloud) and CopperEgg (acquired by Idera). As founders, we have built and introduced innovative and disruptive technologies at Hyper9, nLayers, Airbrake, Turbonomic, SMARTS, and Packeteer, plus IPOs and acquisitions by Oracle, Logic Monitor, EMC, VMware, and SolarWinds

ControlTheory is dedicated to transforming observability through the power of controllability, cutting costs while turbocharging outcomes. Backed by $5 million in seed funding from Silverton Partners, ControlTheory is on a mission to enable organizations to regain control of their observability, increasing affordability, understandability, and business agility.

Our Investors & Advisors

Chris Aniszczyk
CTO, Cloud Native Computing Foundation