Description

Introduction
Advanced LogicMonitor Configuration & Customization focuses on extending the platform beyond basic monitoring to build intelligent, scalable, and automated observability solutions. This training helps learners design customized data collection, fine-tune alerting systems, integrate external tools, and optimize performance across hybrid and cloud environments, enabling proactive monitoring aligned with business goals.

Prerequisites

• Understanding of IT infrastructure (servers, networks, cloud environments)
• Completion of LogicMonitor Fundamentals or equivalent knowledge
• Familiarity with monitoring concepts such as metrics, alerts, and thresholds
• Basic knowledge of scripting (Groovy, PowerShell, or Bash) is recommended
• Awareness of cloud platforms like AWS, Azure, or GCP is beneficial

Table of Contents

1 Advanced Data Collection Techniques
1.1 Overview of Custom DataSources
1.2 SNMP, WMI, and API-Based Monitoring
1.3 Groovy Scripted Data Collection
1.4 Multi-Instance & Batch Data Collection
1.5 Data Collection Performance Optimization

2 Alerting Strategy & Noise Reduction
2.1 Static vs Dynamic Thresholds
2.2 Intelligent Alert Tuning Techniques
2.3 Alert Dependencies & Suppression
2.4 Escalation Chains & Notification Routing
2.5 Reducing Alert Fatigue with Best Practices

3 Property Management & Automation
3.1 Device & Resource Property Hierarchies
3.2 PropertySources & Auto-Discovery
3.3 Tokenization & Dynamic Configuration
3.4 Bulk Updates & Automation Workflows
3.5 Role-Based Access Control (RBAC)

4 Advanced Dashboarding & Reporting
4.1 Custom Dashboard Design Principles
4.2 Widgets, Graphs & Visualization Techniques
4.3 Dynamic Dashboards Using Tokens
4.4 SLA Dashboards & Business Views
4.5 Report Scheduling & Automation

5 Scripting & API Integrations
5.1 Groovy Scripting Deep Dive
5.2 LogicMonitor REST API Usage
5.3 Building Custom Integrations
5.4 Webhooks & Event-Driven Automation
5.5 Script Debugging & Optimization

6 Cloud & Hybrid Environment Customization
6.1 Monitoring AWS, Azure, and GCP
6.2 Hybrid Infrastructure Strategies
6.3 Kubernetes & Container Monitoring
6.4 Multi-Account & Multi-Region Setup
6.5 Cloud Resource Optimization Monitoring

7 Collector Architecture & Optimization
7.1 Collector Types & Deployment Models
7.2 Collector Groups & Load Balancing
7.3 Performance Tuning & Scaling
7.4 High Availability & Failover Strategies
7.5 Troubleshooting Collector Issues

8 Security & Access Management
8.1 Role-Based Access Control (RBAC) Deep Dive
8.2 Secure Credential Management
8.3 Audit Logs & Compliance Monitoring
8.4 API Security Best Practices
8.5 Data Privacy & Governance

9 Event Intelligence & AIOps
9.1 Introduction to Event Intelligence
9.2 Correlation & Root Cause Analysis
9.3 Anomaly Detection Techniques
9.4 Predictive Alerting Strategies
9.5 Automation with AIOps

10 Integration with Enterprise Tools
10.1 ITSM Integration (ServiceNow, Jira)
10.2 CI/CD Pipeline Integration
10.3 Collaboration Tools (Slack, Teams)
10.4 Ticketing & Incident Automation
10.5 Third-Party Monitoring Integrations

11 Advanced Troubleshooting & Diagnostics
11.1 Debugging Data Collection Issues
11.2 Analyzing Logs & Audit Trails
11.3 Identifying Alert Storms
11.4 Root Cause Analysis Techniques
11.5 Performance Bottleneck Resolution

12 Best Practices & Scalability
12.1 Designing Scalable Monitoring Architecture
12.2 Standardization of Monitoring Templates
12.3 Governance & Naming Conventions
12.4 Documentation & Knowledge Sharing
12.5 Continuous Optimization Strategies