COURSE OUTLINE

Day 1 – Moogsoft and AIOps Fundamentals

Module 1: Introduction to AIOps

·      What is AIOps?

·      Traditional IT operations vs AIOps

·      Challenges of modern IT environments

·      Alert fatigue and event noise

·      Role of AI and machine learning in IT operations

Module 2: Introduction to Moogsoft

·      Overview of Moogsoft

·      Moogsoft AIOps concepts

·      Understanding the platform architecture

·      Basic data flow

·      Navigating the user interface

·      Dashboards and operational views

·      Understanding events, alerts, and incidents

Module 3: Data Ingestion and Event Management

·      Understanding monitoring data

·      Events and metrics

·      Data sources

·      Inbound integrations

·      Collectors

·      Introduction to custom integrations

·      Event ingestion process

Module 4: Noise Reduction and Anomaly Detection

·      Understanding alert noise

·      Introduction to anomaly detection

·      Metrics and abnormal behavior

·      AI/ML concepts used in AIOps

Day 2 – Correlation, Incident Management and Automation

Module 5: Alert Correlation

·      What is alert correlation?

·      Why correlation is important

·      Understanding related alerts

·      Correlation Engine overview

Module 6: Incident Management

·      Understanding incidents

·      Viewing incident information

·      Alert-to-incident relationships

·      Incident severity and priority

·      Identifying affected services

Module 7: Workflow and Automation

·      Introduction to AIOps automation

·      Understanding workflows

·      Workflow triggers and actions

·      Adding information to alerts