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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Insights into the progression of enterprise observability and AIOps
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
  • Evaluating features: key strengths, integration options, and application scenarios

Utilizing Splunk for AIOps

  • Collecting metrics, logs, and events from varied sources
  • Building searches, dashboards, and alerts for immediate insights
  • Leveraging Splunk ITSI for anomaly detection and service health evaluation

Gaining Operational Insight with Moogsoft

  • Structure and deployment of Moogsoft AIOps
  • Minimizing noise, eliminating duplicates, and correlating alerts
  • Automating and enriching incident workflows

Comprehensive Observability with Dynatrace

  • Deploying OneAgent and automatic service detection
  • Using Davis AI for root cause identification and predictive issue alerts
  • Cloud-native monitoring, SLOs, and service flow analysis

Connecting Splunk, Moogsoft, and Dynatrace

  • Data integration and API usage across platforms
  • Unified incident management and escalation procedures
  • Consolidating insights through dashboards and alert pipelines

Creating Scalable AIOps Workflows

  • Implementing self-healing automation throughout toolchains
  • Establishing KPIs and reporting for AIOps performance
  • Governance, access management, and audit compliance

Case Studies and Enterprise Applications

  • Real-world examples from the financial, telecommunications, and retail sectors
  • Assessing the ROI of adopting AIOps
  • Planning staged rollout and change management

Summary and Future Directions

Requirements

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

Target Audience

  • IT leaders overseeing service reliability
  • Enterprise teams focused on monitoring and observability
  • Infrastructure specialists and operations architects

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