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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- The evolution of enterprise observability and AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Capability comparison: strengths, integration options, and applicable use cases
Leveraging Splunk for AIOps
- Capturing metrics, logs, and events from various sources
- Developing searches, dashboards, and alerts for real-time visibility
- Utilizing Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Reducing noise, deduplicating, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Using Davis AI for root cause analysis and predictive alerts
- Cloud-native monitoring, SLO management, and service flow analysis
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Unified incident management and escalation procedures
- Centralizing insights through dashboards and alert pipelines
Designing Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Establishing KPIs and reporting mechanisms for AIOps performance
- Managing governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Real-world applications in finance, telecommunications, and retail
- Assessing the ROI of adopting AIOps
- Strategies for phased rollout and change management
Summary and Future Steps
Requirements
- Hands-on experience with IT operations or monitoring platforms
- Knowledge of enterprise observability workflows
- Fundamental understanding of alerting, metrics, and log management
Target Audience
- IT managers overseeing service reliability
- Enterprise monitoring and observability specialists
- Operations architects and infrastructure leaders