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Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of enterprise observability and AIOps evolution.
- Positioning Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem.
- Comparing capabilities: strengths, integrations, and use cases.
Working with Splunk for AIOps
- Ingesting metrics, logs, and events from diverse sources.
- Creating searches, dashboards, and alerts for real-time insight.
- Using Splunk ITSI for anomaly detection and service health scoring.
Operational Intelligence with Moogsoft
- Architecture and deployment of Moogsoft AIOps.
- Noise reduction, deduplication, and alert correlation.
- Incident workflow automation and enrichment.
End-to-End Observability with Dynatrace
- OneAgent deployment and auto-discovery of services.
- Davis AI for root cause detection and predictive problem alerts.
- Cloud-native monitoring, SLOs, and service flow analytics.
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and APIs.
- Unified incident management and escalation paths.
- Centralising insights via dashboards and alert pipelines.
Designing Scalable AIOps Workflows
- Implementing self-healing automation across toolchains.
- Defining KPIs and reporting for AIOps performance.
- Governance, access control, and audit compliance.
Case Studies and Enterprise Use Scenarios
- Real-world examples from finance, telecom, and retail.
- Evaluating ROI from AIOps adoption.
- Planning phased rollout and change management.
Summary and Next Steps
Requirements
- Experience with IT operations or monitoring platforms.
- Familiarity with enterprise observability workflows.
- Basic understanding of alerting, metrics, and logs.
Audience
- IT managers responsible for service reliability.
- Enterprise monitoring and observability teams.
- Operations architects and infrastructure leaders.
14 Hours
