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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • An overview of enterprise observability and the evolution of AIOps
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
  • A comparative analysis of capabilities, including strengths, integrations, and specific use cases

Leveraging Splunk for AIOps

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

Achieving Operational Intelligence with Moogsoft

  • Understanding the architecture and deployment of Moogsoft AIOps
  • Implementing noise reduction, deduplication, and alert correlation strategies
  • Automating incident workflows and enriching incident data

End-to-End Observability with Dynatrace

  • Deploying OneAgent and enabling auto-discovery of services
  • Harnessing Davis AI for root cause identification and predictive problem alerts
  • Monitoring cloud-native environments, managing SLOs, and analyzing service flows

Integrating Splunk, Moogsoft, and Dynatrace

  • Achieving cross-platform data integration via APIs
  • Establishing unified incident management and escalation pathways
  • Centralizing insights through integrated dashboards and alert pipelines

Designing Scalable AIOps Workflows

  • Implementing self-healing automation across different toolchains
  • Defining KPIs and reporting mechanisms for AIOps performance
  • Ensuring governance, access control, and audit compliance

Case Studies and Enterprise Use Scenarios

  • Real-world examples from the finance, telecom, and retail sectors
  • Assessing the ROI of adopting AIOps solutions
  • Planning phased rollouts and managing organizational change

Summary and Next Steps

Requirements

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

Target Audience

  • IT managers focused on service reliability
  • Enterprise monitoring and observability teams
  • Operations architects and infrastructure leaders

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