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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Evolution of enterprise observability and AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Capability comparison: strengths, integrations, and specific use cases
Implementing AIOps with Splunk
- Collecting metrics, logs, and events from various sources
- Developing searches, dashboards, and alerts for real-time visibility
- Leveraging Splunk ITSI for anomaly detection and service health assessment
Operational Intelligence with Moogsoft
- Architecture and deployment strategies for Moogsoft AIOps
- Reducing noise, deduplicating, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and auto-discovering services
- Utilizing Davis AI for root cause analysis and predictive alerting
- Cloud-native monitoring, SLO management, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Establishing unified incident management and escalation protocols
- Consolidating insights through centralized dashboards and alert pipelines
Building Scalable AIOps Workflows
- Executing self-healing automation across integrated toolchains
- Setting KPIs and generating performance reports for AIOps
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from the finance, telecom, and retail sectors
- Assessing the ROI of AIOps implementation
- Planning phased rollouts and managing organizational change
Conclusion and Future Actions
Requirements
- Practical experience with IT operations or monitoring platforms
- Familiarity with enterprise observability workflows
- Foundational knowledge of alerting, metrics, and logs
Target Audience
- IT managers overseeing service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders