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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Insights into the progression of enterprise observability and AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Evaluating features: key strengths, integration options, and application scenarios
Utilizing Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Building searches, dashboards, and alerts for immediate insights
- Leveraging Splunk ITSI for anomaly detection and service health evaluation
Gaining Operational Insight with Moogsoft
- Structure and deployment of Moogsoft AIOps
- Minimizing noise, eliminating duplicates, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and automatic service detection
- Using Davis AI for root cause identification and predictive issue alerts
- Cloud-native monitoring, SLOs, and service flow analysis
Connecting Splunk, Moogsoft, and Dynatrace
- Data integration and API usage across platforms
- Unified incident management and escalation procedures
- Consolidating insights through dashboards and alert pipelines
Creating Scalable AIOps Workflows
- Implementing self-healing automation throughout toolchains
- Establishing KPIs and reporting for AIOps performance
- Governance, access management, and audit compliance
Case Studies and Enterprise Applications
- Real-world examples from the financial, telecommunications, and retail sectors
- Assessing the ROI of adopting AIOps
- Planning staged rollout and change management
Summary and Future Directions
Requirements
- Prior experience with IT operations or monitoring systems
- Knowledge of enterprise observability processes
- Fundamental grasp of alerting, metrics, and logging
Target Audience
- IT leaders overseeing service reliability
- Enterprise teams focused on monitoring and observability
- Infrastructure specialists and operations architects