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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Evolution of AIOps and enterprise observability overview
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Capability comparison: strengths, integrations, and applicable use cases
Utilizing Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for immediate insights
- Leveraging Splunk ITSI for service health scoring and anomaly identification
Operational Intelligence via Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Alert correlation, deduplication, and noise reduction techniques
- Automation and enrichment of incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Davis AI for predictive alerts and root cause analysis
- Cloud-native monitoring, SLO tracking, and service flow analytics
Unifying Splunk, Moogsoft, and Dynatrace
- API-based data integration across platforms
- Escalation paths and unified incident management
- Consolidating insights through alert pipelines and dashboards
Building Scalable AIOps Workflows
- Executing self-healing automation across different toolchains
- Setting KPIs and reporting on AIOps performance
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from retail, telecom, and financial sectors
- Assessing the ROI of AIOps implementation
- Planning change management and phased rollouts
Conclusion and Future Directions
Requirements
- Prior experience with IT operations or monitoring systems
- Knowledge of enterprise observability procedures
- Fundamental grasp of alerting mechanisms, metrics, and logging
Target Audience
- IT leaders accountable for service reliability
- Teams dedicated to enterprise monitoring and observability
- Infrastructure architects and operations executives