Course Outline

Introduction to Enterprise AIOps Platforms

  • Overview of enterprise observability and AIOps evolution
  • Positioning Splunk, Moogsoft, and Dynatrace in 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
  • Centralizing 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

Delivery Options

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  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

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