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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Overview of enterprise observability and the evolution of AIOps
  • Positioning Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
  • Capability comparison: strengths, integrations, and applicable use cases

Utilizing Splunk for AIOps

  • Ingesting metrics, logs, and events from diverse sources
  • Developing searches, dashboards, and alerts for real-time insights
  • Leveraging Splunk ITSI for anomaly detection and service health scoring

Operational Intelligence with Moogsoft

  • Moogsoft AIOps architecture and deployment strategies
  • Noise reduction, deduplication, and alert correlation techniques
  • Incident workflow automation and data enrichment

End-to-End Observability with Dynatrace

  • OneAgent deployment and automatic service discovery
  • Davis AI for root cause analysis and predictive problem alerts
  • Cloud-native monitoring, SLOs, and service flow analytics

Integrating Splunk, Moogsoft, and Dynatrace

  • Cross-platform data integration and API utilization
  • Unified incident management and escalation pathways
  • Centralizing insights through dashboards and alert pipelines

Designing Scalable AIOps Workflows

  • Implementing self-healing automation across toolchains
  • Defining KPIs and reporting frameworks for AIOps performance
  • Governance, access control, and audit compliance

Case Studies and Enterprise Use Scenarios

  • Real-world examples from finance, telecom, and retail sectors
  • Assessing ROI from AIOps adoption
  • Planning phased rollouts and change management strategies

Summary and Next Steps

Requirements

  • Practical experience with IT operations or monitoring platforms
  • Familiarity with enterprise observability workflows
  • Fundamental understanding of alerting, metrics, and logging

Target Audience

  • IT managers accountable for service reliability
  • Enterprise monitoring and observability teams
  • Operations architects and infrastructure leaders

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