AIOps Platform Enhances Datacenter Operations with AI
Client: US-based Hybrid Cloud Provider | Solution: AI-driven alert correlation, automation, and insights for efficient datacenter management.
Operations Struggled with Alert Overload
The client’s monitoring tools generated massive volumes of alerts daily, leading to significant operational fatigue. Without context or prioritization, engineers faced challenges in responding efficiently to critical incidents.
Solution
Calsoft developed a tailored AIOps platform integrating machine learning and knowledge graphs to streamline incident detection and resolution.
- Filtered out redundant alerts while retaining valuable context.
- Correlated alerts with underlying infrastructure relationships.
- Ranked alerts by severity and business impact.
- Combined logs, traces, and metrics into one cohesive dashboard.
This comprehensive solution enabled quicker decision-making, minimized alert fatigue, and improved operator efficiency.
Business Value
Alert Volume Reduction
ML-based correlation trimmed redundant alerts, reducing noise by 60%.
Incident Prioritization
Impact-aware alert ranking improved focus on critical issues, speeding high-severity case resolution.
Operator Workload Balance
Automated remediation reduced manual triage, freeing up team resources.
Incident Lifecycle Tracking
Enabled full alert-to-resolution traceability using metadata and contextual logs.
To Know More
About how we can align our expertise to your requirements, reach out to us.