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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of enterprise observability and the evolution of AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparing features: strengths, integrations, and applicable use cases
Leveraging Splunk for AIOps
- Ingesting metrics, logs, and events from various sources
- Building searches, dashboards, and alerts for real-time insights
- Applying Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence via Moogsoft
- Architecture and deployment of Moogsoft AIOps
- Reducing noise, deduplicating, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and auto-discovering services
- Using Davis AI for root cause analysis and predictive problem alerts
- Monitoring cloud-native environments, SLOs, and service flows
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Establishing unified incident management and escalation paths
- Centralising insights through dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Defining KPIs and reporting mechanisms for AIOps performance
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from the finance, telecom, and retail sectors
- Assessing the ROI of AIOps adoption
- Planning phased rollouts and managing change
Conclusion and Next Steps
Requirements
- Prior experience with IT operations or monitoring platforms
- Familiarity with enterprise observability workflows
- Foundational knowledge of alerting, metrics, and logs
Target Audience
- IT managers focused on service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders