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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Evolution of enterprise observability and AIOps
- The role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Comparison of features: strengths, integration capabilities, and key use cases
Utilizing Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for real-time visibility
- Leveraging Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence via Moogsoft
- Moogsoft AIOps architecture and deployment strategies
- Reducing noise, deduplicating data, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- OneAgent deployment and automatic service discovery
- Davis AI for identifying root causes and predictive problem alerts
- Cloud-native monitoring, SLOs, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API utilization
- Centralized incident management and escalation strategies
- Consolidating insights through dashboards and alert pipelines
Building Scalable AIOps Workflows
- Deploying self-healing automation across the toolchain
- Establishing KPIs and reporting for AIOps performance
- Governance, access management, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from the finance, telecom, and retail sectors
- Assessing ROI from AIOps implementation
- Planning phased rollout and change management
Recap and Future Directions
Requirements
- Hands-on experience with IT operations or monitoring platforms
- Knowledge of enterprise observability workflows
- Foundational understanding of alerting, metrics, and logging
Target Audience
- IT managers overseeing service reliability
- Teams focused on enterprise monitoring and observability
- Operations architects and infrastructure leaders