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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of enterprise observability and the evolution of AIOps
- Positioning Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Capability comparison: strengths, integrations, and applicable use cases
Utilizing Splunk for AIOps
- Ingesting metrics, logs, and events from diverse sources
- Developing searches, dashboards, and alerts for real-time insights
- Leveraging Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Noise reduction, deduplication, and alert correlation techniques
- Incident workflow automation and data enrichment
End-to-End Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Davis AI for root cause analysis and predictive problem alerts
- Cloud-native monitoring, SLOs, and service flow analytics
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Unified incident management and escalation pathways
- Centralizing insights through dashboards and alert pipelines
Designing Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Defining KPIs and reporting frameworks for AIOps performance
- Governance, access control, and audit compliance
Case Studies and Enterprise Use Scenarios
- Real-world examples from finance, telecom, and retail sectors
- Assessing ROI from AIOps adoption
- Planning phased rollouts and change management strategies
Summary and Next Steps
Requirements
- Practical experience with IT operations or monitoring platforms
- Familiarity with enterprise observability workflows
- Fundamental understanding of alerting, metrics, and logging
Target Audience
- IT managers accountable for service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders