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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 in the AIOps ecosystem
- Capability comparison: key strengths, integrations, and applicable scenarios
Utilizing Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for real-time visibility
- Leveraging Splunk ITSI for anomaly detection and service health evaluation
Operational Intelligence via Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Mitigating noise, deduplicating data, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automated service discovery
- Davis AI for root cause analysis and predictive problem alerts
- Cloud-native monitoring, SLOs, and service flow insights
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Consolidated incident management and escalation protocols
- Centralizing insights through dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Deploying self-healing automation across integrated toolchains
- Establishing KPIs and reporting mechanisms 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
- Strategizing phased implementation and change management
Conclusion and Future Directions
Requirements
- Practical experience with IT operations or monitoring systems
- Knowledge of enterprise-level observability procedures
- Fundamental grasp of alerting, metrics, and log analysis
Target Audience
- IT managers accountable for service dependability
- Teams dedicated to enterprise monitoring and observability
- Operations architects and infrastructure leadership
