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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Ecosystems
- Evolution of enterprise observability and the rise of AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Capability comparison: key strengths, integrations, and application scenarios
Leveraging Splunk for AIOps
- Collecting metrics, logs, and events from various sources
- Building searches, dashboards, and alerts for immediate insights
- Utilizing Splunk ITSI for spotting anomalies and assessing service health
Gaining Operational Intelligence with Moogsoft
- Deploying and structuring the Moogsoft AIOps platform
- Reducing noise, removing duplicates, and correlating alerts
- Automating and enriching incident workflows
Achieving End-to-End Observability with Dynatrace
- Deploying OneAgent and automatically discovering services
- Using Davis AI to pinpoint root causes and predict issues
- Monitoring cloud-native environments, SLOs, and service flows
Combining Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Streamlining incident management and escalation routes
- Centralizing insights through dashboards and alert streams
Architecting Scalable AIOps Workflows
- Establishing self-healing automation across multiple tools
- Setting KPIs and reporting metrics for AIOps effectiveness
- Managing governance, access controls, and audit requirements
Case Studies and Enterprise Applications
- Real-world insights from finance, telecommunications, and retail sectors
- Assessing the return on investment from AIOps implementation
- Planning phased deployment and change management strategies
Conclusion and Future Directions
Requirements
- Practical experience with IT operations or monitoring systems
- Knowledge of enterprise observability processes
- Foundational grasp of alerting, metrics, and log management
Target Audience
- IT managers overseeing service availability
- Enterprise teams focused on monitoring and observability
- Operations architects and infrastructure executives