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Duration 14 hours
Course Outline
Foundations of Enterprise AIOps Platforms
- The evolution of observability and AIOps in the enterprise sector
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparative analysis of strengths, integrations, and application scenarios
Leveraging Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for real-time visibility
- Utilizing Splunk ITSI for anomaly identification and service health assessment
Operational Intelligence via Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Alert noise reduction, deduplication, and correlation techniques
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Root cause identification and predictive alerts using Davis AI
- Cloud-native monitoring, SLO management, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Inter-platform data integration and API utilization
- Coordinated incident management and escalation strategies
- Aggregating insights through centralized dashboards and alert pipelines
Architecting Scalable AIOps Workflows
- Deploying self-healing automation across multiple toolchains
- Establishing KPIs and reporting frameworks for AIOps performance
- Ensuring governance, access control, and audit compliance
Real-World Case Studies and Enterprise Scenarios
- Practical examples from the finance, telecom, and retail sectors
- Assessing the ROI of AIOps implementation
- Strategizing phased rollouts and change management
Recap and Future Directions
Requirements
- Practical experience with IT operations or monitoring platforms
- Knowledge of enterprise observability processes
- Fundamental understanding of alerting, metrics, and logging
Target Audience
- IT managers focused on service reliability
- Enterprise teams specializing in monitoring and observability
- Operations architects and infrastructure leadership