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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of enterprise observability and the evolution of AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
- Comparison of capabilities: advantages, integrations, and application scenarios
Implementing Splunk for AIOps
- Collecting metrics, logs, and events from various sources
- Developing searches, dashboards, and alerts for real-time insights
- Leveraging Splunk ITSI for anomaly detection and service health scoring
Operational Intelligence via Moogsoft
- Architecture and deployment strategies for Moogsoft AIOps
- Reducing noise, deduplicating alerts, and correlating events
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and automatic service discovery
- Utilizing Davis AI for root cause identification and predictive alerts
- Cloud-native monitoring, SLOs, and service flow analysis
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Unified incident management and escalation procedures
- Centralizing insights through dashboards and alert pipelines
Designing Scalable AIOps Workflows
- Establishing self-healing automation across toolchains
- Defining KPIs and reporting mechanisms for AIOps performance
- Governance, access management, and audit compliance
Case Studies and Enterprise Scenarios
- Real-world examples from finance, telecommunications, and retail sectors
- Assessing ROI from AIOps implementation
- Planning phased rollouts and change management strategies
Summary and Future Steps
Requirements
- Background in IT operations or monitoring platforms
- Knowledge of enterprise observability workflows
- Fundamental understanding of alerting, metrics, and logging
Target Audience
- IT managers overseeing service reliability
- Enterprise monitoring and observability teams
- Operations architects and infrastructure leaders