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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.

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