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Course Outline
Introduction to Enterprise AIOps Platforms
- Evolution of enterprise observability and AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparative analysis of capabilities, strengths, integrations, and use cases
Utilizing Splunk for AIOps
- Ingesting metrics, logs, and events from various sources
- Developing searches, dashboards, and alerts for real-time visibility
- Leveraging Splunk ITSI for anomaly detection and service health assessment
Operational Intelligence via Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Alert noise reduction, deduplication, and correlation techniques
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Davis AI for root cause analysis and predictive problem alerts
- Cloud-native monitoring, SLO management, and service flow analytics
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Establishing unified incident management and escalation protocols
- Centralizing insights through dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Defining KPIs and reporting frameworks for AIOps performance
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Applications
- Real-world implementations in finance, telecommunications, and retail
- Assessing ROI derived from AIOps adoption
- Planning phased rollouts and managing change
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 logs
Target Audience
- IT managers overseeing service reliability
- Teams dedicated to enterprise monitoring and observability
- Operations architects and infrastructure leaders
14 Hours