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.
And, impending AI projects are poised to make all this exponentially worse! More code. New stacks. And more data-hungry AI apps.
What If observability were controllable, so you could manage cost and maximize results?
ControlTheory is the answer.
The ControlTheory Observability Control Platform shapes and elevates your observability using open, adaptive, and amplifying controls – we call that Controllability
Harnessing the power of OpenTelemetry to stay vendor-neutral, while also working with what you already have
Powered by dynamic feedback loops and an open control plane
And delivering better root cause, MTTR, and new insights from your existing & future tools
The Observability Control Platform from ControlTheory
illuminates your current observability for insight and action – powered by built-in “meta-metrics”
transforms telemetry through controls that can route, filter, sample, and more – to lower cost, improve efficiency, and detect outages – increasing signal, decreasing noise
And governs to manage and accelerate consolidations, migrations, OTel deployments, and future AI projects
ControlTheory. Control your observability. Don’t let it control you. Slash costs and maximize results. Today…and tomorrow.