How Event‑Driven Alert Centers Revolutionize Intelligent Operations

Presentation Outline

1. Exploration of an event‑centric alert center 2. Practice case analysis 3. The MC‑Stack platform that underpins the alert center

Evolution of Operations

IT operations over the past 50 years can be divided into four stages: manual, script‑based, tool‑based, and data‑driven (digital) operations.

Key Challenges in Alert Center Construction

Even with micro‑service architectures, teams face massive false and duplicate alerts, system heterogeneity, scattered alerts, difficulty preserving operational knowledge, lack of global multi‑dimensional views, and information overload.

Core Concept: Alert Events

An "alert event" is a collection of related alerts triggered by the same root cause, representing a potential hidden fault with business impact. It shifts analysis from isolated alerts to correlated groups.

AI‑Driven Identification and Multi‑Factor Correlation

By applying AI, the platform extracts event patterns such as network failures, business changes, logical bugs, and performance bottlenecks. It integrates CMDB, metrics, change logs, and logs, performing both fuzzy and precise correlation across dimensions.

Decision‑Tree and Root‑Cause Analysis

The system builds decision‑trees to locate fault root causes, leveraging historical event knowledge as a fault knowledge base for faster remediation.

MC‑Stack Platform Architecture

The platform provides three essential layers:

ITSM management engine for workflow, permissions, and incident handling.

Standardized data storage for CMDB, metrics, and logs.

AIOps algorithm engine for event detection, correlation, and analysis.

It integrates various applications such as monitoring systems and AIOps modules.

Data Engine – X‑HDC

X‑HDC consolidates CMDB topology, monitoring data, and log data into a unified data layer for operations.

Product Benefits

The West Jun Data Intelligent Alert Center uses event‑tracking, algorithmic aggregation, and correlation to rapidly and accurately locate faults, reducing alert fatigue and improving operational efficiency for enterprises.