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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 key use cases
Implementing AIOps with Splunk
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for real-time insights
- Leveraging Splunk ITSI for anomaly detection and service health assessment
Driving Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Techniques for noise reduction, deduplication, and alert correlation
- Automating and enriching incident workflows
Achieving End-to-End Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Utilizing Davis AI for root cause analysis and predictive alerts
- Cloud-native monitoring, SLOs, and service flow analysis
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Establishing unified incident management and escalation paths
- Centralizing insights through dashboards and alert pipelines
Designing Scalable AIOps Workflows
- Implementing self-healing automation across various toolchains
- Defining KPIs and performance reporting for AIOps
- Ensuring governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from finance, telecom, and retail sectors
- Assessing the ROI of AIOps adoption
- Planning phased rollouts and managing change
Summary and Next Steps
Requirements
- Hands-on experience with IT operations or monitoring platforms
- Proficiency in enterprise observability workflows
- Foundational understanding of alerting mechanisms, metrics, and logs
Target Audience
- IT managers overseeing service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders
