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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 in the AIOps ecosystem.
- Comparative analysis of capabilities, integrations, and use cases.
Leveraging Splunk for AIOps
- Ingesting metrics, logs, and events from diverse sources.
- Building searches, dashboards, and alerts for real-time insights.
- Utilizing Splunk ITSI for anomaly detection and service health scoring.
Operational Intelligence with Moogsoft
- Moogsoft AIOps architecture and deployment strategies.
- Strategies for noise reduction, deduplication, and alert correlation.
- Automating and enriching incident workflows.
End-to-End Observability with Dynatrace
- OneAgent deployment and automatic service discovery.
- Harnessing Davis AI for root cause analysis and predictive alerts.
- Cloud-native monitoring, SLO management, and service flow analytics.
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration via APIs.
- Establishing unified incident management and escalation paths.
- Centralizing insights through dashboards and alert pipelines.
Designing Scalable AIOps Workflows
- Implementing self-healing automation across toolchains.
- Defining KPIs and performance reporting for AIOps.
- Ensuring governance, access control, and audit compliance.
Case Studies and Enterprise Use Scenarios
- Real-world applications in finance, telecom, and retail sectors.
- Evaluating the ROI of AIOps adoption.
- Planning phased rollouts and managing change.
Summary and Next Steps
Requirements
- Prior experience with IT operations or monitoring platforms.
- Familiarity with enterprise observability workflows.
- A foundational understanding of alerting, metrics, and logging.
Target Audience
- IT managers overseeing service reliability.
- Enterprise monitoring and observability teams.
- Operations architects and infrastructure leaders.