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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • The evolution of enterprise observability and AIOps
  • Strategic positioning of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
  • Comparative analysis of capabilities, strengths, integrations, and applicable use cases

Implementing AIOps with Splunk

  • Ingestion of metrics, logs, and events from heterogeneous sources
  • Development of searches, dashboards, and alerts for real-time visibility
  • Utilization of Splunk ITSI for anomaly detection and service health scoring

Operational Intelligence via Moogsoft

  • Architectural considerations and deployment of Moogsoft AIOps
  • Techniques for noise reduction, deduplication, and alert correlation
  • Automation and enrichment of incident workflows

Comprehensive Observability with Dynatrace

  • OneAgent deployment and automatic service discovery
  • Application of Davis AI for root cause identification and predictive alerting
  • Cloud-native monitoring, SLO management, and service flow analysis

Unifying Splunk, Moogsoft, and Dynatrace

  • Cross-platform data integration strategies and API utilization
  • Establishment of unified incident management and escalation protocols
  • Consolidation of insights through centralized dashboards and alert pipelines

Architecture of Scalable AIOps Workflows

  • Implementation of self-healing automation across toolchains
  • Definition of KPIs and performance reporting frameworks for AIOps
  • Governance structures, access control policies, and audit compliance

Case Studies and Enterprise Applications

  • Practical examples from the finance, telecom, and retail sectors
  • Assessment of ROI generated by AIOps adoption
  • Strategies for phased rollout and change management

Conclusion and Future Directions

Requirements

  • Practical experience with IT operations or monitoring platforms
  • Proficiency in enterprise observability workflows
  • Foundational knowledge of alerting mechanisms, metrics, and logging

Target Audience

  • IT managers overseeing service reliability
  • Teams dedicated to enterprise monitoring and observability
  • Operations architects and infrastructure leadership

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