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Duration 14 hours
Course Outline
Foundations of Enterprise AIOps Platforms
- Evolution of enterprise observability and AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparison of capabilities: strengths, integration options, and use cases
Leveraging Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for real-time visibility
- Utilizing Splunk ITSI for anomaly detection and service health assessment
Enhancing Operational Intelligence with Moogsoft
- Architecture and deployment strategies for Moogsoft AIOps
- Reducing noise, deduplicating, and correlating alerts
- Automating and enriching incident workflows
Achieving End-to-End Observability with Dynatrace
- Deploying OneAgent for automatic service discovery
- Identifying root causes and predicting issues using Davis AI
- Cloud-native monitoring, SLO management, and service flow analysis
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API connectivity
- Unified incident management and escalation procedures
- Centralizing insights through dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Establishing KPIs and reporting mechanisms for AIOps performance
- Managing governance, access control, and audit compliance
Case Studies and Enterprise Applications
- Real-world scenarios from finance, telecommunications, and retail sectors
- Assessing ROI from AIOps implementation
- Planning phased rollouts and change management strategies
Conclusion and Future Directions
Requirements
- Practical experience with IT operations or monitoring platforms
- Knowledge of enterprise observability workflows
- Foundational understanding of alerting mechanisms, metrics, and logging
Target Audience
- IT managers focused on service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders