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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • The evolution of enterprise observability and AIOps
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
  • Capability comparison: strengths, integration options, and applicable use cases

Leveraging Splunk for AIOps

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

Operational Intelligence with Moogsoft

  • Moogsoft AIOps architecture and deployment strategies
  • Reducing noise, deduplicating, and correlating alerts
  • Automating and enriching incident workflows

Comprehensive Observability with Dynatrace

  • OneAgent deployment and automatic service discovery
  • Using Davis AI for root cause analysis and predictive alerts
  • Cloud-native monitoring, SLO management, and service flow analysis

Integrating Splunk, Moogsoft, and Dynatrace

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

Designing Scalable AIOps Workflows

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

Case Studies and Enterprise Scenarios

  • Real-world applications in finance, telecommunications, and retail
  • Assessing the ROI of adopting AIOps
  • Strategies for phased rollout and change management

Summary and Future Steps

Requirements

  • Hands-on experience with IT operations or monitoring platforms
  • Knowledge of enterprise observability workflows
  • Fundamental understanding of alerting, metrics, and log management

Target Audience

  • IT managers overseeing service reliability
  • Enterprise monitoring and observability specialists
  • Operations architects and infrastructure leaders

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