- Consulting services
StreamSync AI Observability
The purpose of this offer is to help enterprises implement real-time AI observability on Microsoft Azure to ensure pipeline health, reduce downtime, and improve confidence in business analytics.
The purpose of the offer is to help enterprises get started with or extend their use of Microsoft Azure by implementing StreamSync AI Observability — a cloud-native, AI-powered solution for real-time data pipeline monitoring, anomaly detection, and automated remediation.
As enterprises adopt increasingly complex analytics stacks powered by Azure Synapse, Azure Data Factory, and Azure Databricks, traditional monitoring tools fall short. StreamSync AI Observability, built by Quest Global, offers a centralized observability layer that ensures trust, consistency, and uptime across multi-source data pipelines.
With built-in AI/ML models for anomaly detection, auto-remediation workflows, trust dashboards, and real-time notifications, this offering shifts enterprise analytics from reactive firefighting to proactive governance.
Key Features -
Multi-Stream Synchronization - Align batch, micro-batch, and streaming data pipelines to ensure consistency across systems like Azure Synapse and Databricks.
AI/ML Anomaly Detection - Identify schema drift, volume anomalies, latency issues, or broken transformations with machine learning, not static rules.
Self-Healing Pipelines - Automatically restart failed jobs, reroute traffic to backup streams, and trigger backfills—all without manual intervention.
Proactive Alerting & Contextual Notification - Send rich alerts with context (root cause, impact scope, remediation paths) via Teams, Slack, PagerDuty, or email.
Unified Observability Dashboard - A role-based portal for engineers, analysts, and executives with trust scores, recovery trends, and anomaly history.
Azure-Native Integration - Seamless deployment with Azure Data Factory, Azure Monitor, Synapse Analytics, Azure Event Hub, and Power BI.
Architecture Overview
Execution Plan Phase Timeline Discovery & Planning Week 1 Azure Environment Setup Week 2 StreamSync Core Deployment Week 3 AI/ML Model Integration Weeks 4–5 Alerts & Dashboard Customization Week 5–6 UAT, Knowledge Transfer, Go-Live Week 7
Strategic Benefits Benefit Area Business Impact Pipeline Reliability 60% reduction in incident resolution time Data Trust & Accuracy Fewer false insights from inconsistent pipelines Compliance Readiness Auditable anomaly and health logs Business Continuity AI-led auto-remediation reduces data downtime Executive Confidence Dashboard trust scores build alignment