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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Evolution of enterprise observability and AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Assessment of capabilities: core strengths, integration options, and practical applications
Leveraging Splunk for AIOps
- Collecting metrics, logs, and events from various sources
- Developing searches, dashboards, and alerts for immediate insights
- Utilizing Splunk ITSI for anomaly detection and service health assessment
Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Reducing noise, deduplicating data, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and auto-detecting services
- Davis AI for root cause analysis and predictive alerts
- Cloud-native monitoring, SLO management, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Unified incident management and escalation strategies
- Consolidating insights through dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Enabling self-healing automation across the toolchain
- Establishing KPIs and reporting mechanisms for AIOps performance
- Governance, access management, and audit compliance
Case Studies and Enterprise Applications
- Real-world examples from finance, telecommunications, and retail sectors
- Assessing ROI from AIOps adoption
- Planning phased implementation and change management
Summary and Next Steps
Requirements
- Practical experience with IT operations or monitoring platforms
- Knowledge of enterprise observability processes
- Foundational understanding of alerting, metrics, and log analysis
Target Audience
- IT managers focused on service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders
