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Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of enterprise observability and AIOps evolution
- Positioning Splunk, Moogsoft, and Dynatrace in the AIOps ecosystem
- Comparing capabilities: strengths, integrations, and use cases
Working with Splunk for AIOps
- Ingesting metrics, logs, and events from diverse sources
- Creating searches, dashboards, and alerts for real-time insight
- Using Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence with Moogsoft
- Architecture and deployment of Moogsoft AIOps
- Noise reduction, deduplication, and alert correlation
- Incident workflow automation and enrichment
End-to-End Observability with Dynatrace
- OneAgent deployment and auto-discovery of services
- Davis AI for root cause detection and predictive problem alerts
- Cloud-native monitoring, SLOs, and service flow analytics
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and APIs
- Unified incident management and escalation paths
- Centralizing insights via dashboards and alert pipelines
Designing Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Defining KPIs and reporting for AIOps performance
- Governance, access control, and audit compliance
Case Studies and Enterprise Use Scenarios
- Real-world examples from finance, telecom, and retail
- Evaluating ROI from AIOps adoption
- Planning phased rollout and change management
Summary and Next Steps
Requirements
- Experience with IT operations or monitoring platforms
- Familiarity with enterprise observability workflows
- Basic understanding of alerting, metrics, and logs
Audience
- IT managers responsible for service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders
14 Hours
