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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Evolution of AIOps and enterprise observability overview
  • Role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
  • Capability comparison: strengths, integrations, and applicable use cases

Utilizing Splunk for AIOps

  • Collecting metrics, logs, and events from varied sources
  • Developing searches, dashboards, and alerts for immediate insights
  • Leveraging Splunk ITSI for service health scoring and anomaly identification

Operational Intelligence via Moogsoft

  • Moogsoft AIOps architecture and deployment strategies
  • Alert correlation, deduplication, and noise reduction techniques
  • Automation and enrichment of incident workflows

Comprehensive Observability with Dynatrace

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

Unifying Splunk, Moogsoft, and Dynatrace

  • API-based data integration across platforms
  • Escalation paths and unified incident management
  • Consolidating insights through alert pipelines and dashboards

Building Scalable AIOps Workflows

  • Executing self-healing automation across different toolchains
  • Setting KPIs and reporting on AIOps performance
  • Ensuring governance, access control, and audit compliance

Case Studies and Enterprise Scenarios

  • Practical examples from retail, telecom, and financial sectors
  • Assessing the ROI of AIOps implementation
  • Planning change management and phased rollouts

Conclusion and Future Directions

Requirements

  • Prior experience with IT operations or monitoring systems
  • Knowledge of enterprise observability procedures
  • Fundamental grasp of alerting mechanisms, metrics, and logging

Target Audience

  • IT leaders accountable for service reliability
  • Teams dedicated to enterprise monitoring and observability
  • Infrastructure architects and operations executives

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