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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of the evolution of enterprise observability and AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparative analysis of capabilities, including strengths, integrations, and use cases
Leveraging Splunk for AIOps
- Collecting 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 assessment
Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Reducing noise, deduplicating data, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Davis AI for root cause analysis and predictive issue alerts
- Cloud-native monitoring, SLO management, and service flow analysis
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Establishing unified incident management and escalation procedures
- Centralizing insights through dashboards and alert pipelines
Building Scalable AIOps Workflows
- Implementing self-healing automation across integrated toolchains
- Defining KPIs and reporting mechanisms for AIOps performance
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Applications
- Real-world implementations in finance, telecom, and retail sectors
- Assessing the ROI of AIOps adoption
- Strategizing phased rollouts and change management
Conclusion and Future Directions
Requirements
- Practical experience with IT operations or monitoring platforms
- Knowledge of enterprise observability workflows
- Fundamental grasp of alerting, metrics, and logging concepts
Target Audience
- IT managers overseeing service reliability
- Teams dedicated to enterprise monitoring and observability
- Operations architects and infrastructure leadership