ForeSite360: Enterprise Observability at Scale
ForeSite360 is an advanced observability platform that provides deep situational awareness across IT ecosystems. It enables organizations to monitor and analyze the health of their infrastructure, IoT devices, and enterprise technology assets in real-time. Unlike traditional monitoring tools, ForeSite360 leverages AI/ML-driven analytics and historical trend analysis to proactively detect and resolve issues before they disrupt operations. With a customizable UI, seamless API integrations, and a cloud-native, microservices-based architecture, ForeSite360 transforms enterprise monitoring by fostering accountability, automation, and proactive problem resolution.
To-Be
ForeSite360 enhances IT operations by reducing downtime through AI/ML-driven predictive analytics, improving mean time to resolution (MTTR), and proactively addressing issues before they impact users. Its automated help desk integration boosts customer experience (CX), while real-time alerts and synthetic monitoring strengthen security and compliance. Aggregating data from multiple sources into a unified view streamlines troubleshooting, enhances decision-making, and optimizes IT and IoT asset management. With a scalable, cloud-native architecture, ForeSite360 drives operational efficiency and cost savings and ensures enterprise-wide observability for improved system performance and resilience.
Stakeholders
A customized implementation of ForeSite360 is deployed at HHS CMS, tailored to meet the agency's specific observability and monitoring needs. This version integrates seamlessly with CMS infrastructure, providing real-time insights, proactive issue detection, and automated help desk integration to enhance system performance, security, and operational efficiency.
Business Process Model
Data Integration Across Systems. Resolving challenges in consolidating and harmonizing data from multiple platforms, systems, or sources for unified insights. Anomaly Detection and Behavior Analysis. Identifying unexpected patterns, detecting deviations, or analyzing behavior in systems, processes or data streams. Fraud, Waste and Abuse. Tools and products to analyze, detect, monitor, and identify potential fraud, waste or abuse. Improving Decision-Making with Actionable Insights. Enabling more informed decisions by providing clear, actionable, and data-driven insights to stakeholders. IoT and Tactical Edge. Modular technology, low power, austere operating environments, compute at the edge, and data fusion.