Controllability
Regain Control of Your Observability
Cost Control
Operational Control
Adaptive Control
“Increasingly complex systems and ballooning telemetry volumes have made observability costs and processes an operational challenge for many organizations. Concepts like controllability aim to address these issues and necessarily evolve how we think about observability by focusing on actively governing, shaping, and optimizing telemetry rather than just collecting it.”
Kelly Fitzpatrick, Senior Analyst at RedMonk
Observability Control Platform
Observability is Broken
Let’s fix it. Escalating observability costs, siloed data, exploding complexity, vendor lock-in, and soaring telemetry volumes. Why has observability lost its way? Because observability needs Controllability. To cut costs. To sharpen operations. To respond to change. With Controllability, you can regain control of your observability:
Cost Control
Observability cost spikes happen – they might be happening right now. Why wait for your next bill to find out? Or to hear it from your CFO or VP at the end of the quarter. Proactively control your telemetry to avoid another observability bill surprise.
• Pinpoint spikes and cost hotspots
• Reduce cardinality for custom metrics
• Filter, dedup, re-route logs
• Traceback to orgs, teams, apps, users
Operational Control
Root cause analysis is getting harder. MTTR is rising. And observability is failing to do its job. Controllability makes operations better, to get to root cause faster, more precisely. With new insights that don’t cost an arm and a leg while increasing your signals while decreasing noise.
• Prevent observability bill surprises
• Reduce MTTI, MTTR – more signal, less noise
• Accelerate OTel and AI projects
• Manage & govern OTel collector fleets at scale
Adaptive Control
Observability is too brittle. Current telemetry pipelines are static, one-way valves with no feedback controls. Unable to adjust on the fly or interact with the systems around them. Controllability requires adaptive control that’s open – Elastic Telemetry Pipelines auto-scale observability and proactively adapt to change.
• Dynamic feedback loops
• Continuous improvement & adjustment
• Auto-scale for new releases, iterative RCA
• Migrate, consolidate
ControlTheory Integrations
Any Source, Any Destination
ControlTheory integrates with all your existing telemetry sources and observability endpoints – optimizing and controlling hundreds of different logs, metrics, traces, and profiles and delivering to your favorite dashboards. Learn more about our integrations…
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.
ENGINEERING
LEADERS
Controlling observability lets you manage high costs while efficiently delivering new custom metrics and business insights
DEVELOPMENT
TEAMS
Correlate developer deploys and commits with telemetry spikes. Manage logs in flight to avoid debug or info log-level disasters.
