Observability has grown increasingly costly and complex, locking organizations into proprietary solutions and overwhelming them with data silos. ControlTheory flips the script by introducing controllability — the active management of observability — to cut costs while increasing operational value. Controllability allows organizations to optimize their existing observability tools and platforms without replacing them. Unlike static, one-way telemetry pipelines, controllability optimizes the full observability lifecycle through adaptive feedback loops, from code to cloud, and development to operations.