New intelligent infrastructure framework brings predictive operations, stronger security, and consistent performance across on-premise and cloud environments Ahmedabad (Gujarat) [India], April 17: Cygnet.One today announced an expanded direction for its Managed IT Services portfolio with the introduction of Cygnet STRATA, a layered infrastructure framework built to support modern businesses that depend on stable, secure, and high-performing IT environments. As IT systems take on greater operational responsibility, the cost of outages, security gaps, and performance slowdowns continues to rise. Many organizations still rely on reactive support models that respond after issues occur. Cygnet.One is positioning its managed services approach to move beyond that model, focusing on predictability, visibility, and continuous improvement across the infrastructure lifecycle. At the center of this shift is STRATA, a six-layer infrastructure stack designed to connect physical systems with cloud ecosystems while enabling real-time monitoring, analysis, and response. Built on AIOps principles, STRATA integrates telemetry ingestion, event correlation, anomaly detection, and automated remediation into a unified operating model. This allows infrastructure to shift from fragmented monitoring to coordinated, intelligence-driven operations. STRATA operates across six core layers. The SENSE layer focuses on physical infrastructure. It uses telemetry pipelines, sensor-based monitoring, and AI-driven diagnostics to continuously track servers, storage systems, and environmental conditions such as temperature, power, and network health. This layer builds a live operational baseline and detects early signs of hardware degradation or capacity stress. The TRANSMIT layer manages signal flow across the infrastructure. It aggregates and normalizes data streams from multiple sources, filters noise, and prioritizes actionable alerts. This ensures that only relevant signals are passed to operations teams and centralized NOC environments, reducing alert fatigue and improving response accuracy. The REASON layer applies AIOps intelligence. It uses pattern recognition, event correlation, and predictive modeling to identify anomalies across systems. By linking events across compute, storage,