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Duration 14 hours
Course Outline
Intro to Enterprise AIOps Platforms
- Evolution of observability and AIOps in the enterprise
- The role of Splunk, Moogsoft, and Dynatrace in the AIOps landscape
- Comparative analysis: key strengths, integrations, and practical applications
Utilizing Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Building searches, dashboards, and alerts for immediate insights
- Applying Splunk ITSI for anomaly identification and service health assessment
Operational Intelligence via Moogsoft
- Deployment and architecture of Moogsoft AIOps
- Mitigating noise, deduplicating, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and automatic service discovery
- Leveraging Davis AI for root cause analysis and predictive alerts
- Cloud-native monitoring, SLO management, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Consolidated incident management and escalation protocols
- Centralising insights through dashboards and alert pipelines
Building Scalable AIOps Workflows
- Executing self-healing automation across the tech stack
- Setting KPIs and reporting on AIOps performance
- Managing governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Real-world implementations in finance, telecom, and retail sectors
- Assessing the ROI of adopting AIOps
- Planning phased deployment and managing change
Recap and Future Steps
Requirements
- Practical experience with IT operations or monitoring systems
- Knowledge of enterprise observability practices
- Foundational grasp of alerting mechanisms, metrics, and log management
Target Audience
- IT managers overseeing service availability
- Teams dedicated to enterprise monitoring and observability
- Operations architects and senior infrastructure leaders
