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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Overview of the evolution of enterprise observability and AIOps
  • Defining the role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
  • Comparative analysis of capabilities, strengths, integrations, and application scenarios

Leveraging Splunk for AIOps

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

Gaining Operational Intelligence with Moogsoft

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

Achieving End-to-End Observability with Dynatrace

  • Deploying OneAgent and leveraging auto-discovery of services
  • Using Davis AI for root cause analysis and predictive issue alerts
  • Monitoring cloud-native environments, managing SLOs, and analyzing service flows

Integrating Splunk, Moogsoft, and Dynatrace

  • Facilitating cross-platform data integration via APIs
  • Standardizing incident management and escalation procedures
  • Centralizing insights through dashboards and alert pipelines

Creating Scalable AIOps Workflows

  • Deploying self-healing automation across different toolchains
  • Establishing KPIs and reporting structures for AIOps performance
  • Managing governance, access controls, and audit compliance

Case Studies and Enterprise Applications

  • Real-world examples from the finance, telecommunications, and retail sectors
  • Assessing the ROI derived from adopting AIOps
  • Planning staged rollouts and managing organizational change

Summary and Future Steps

Requirements

  • Practical experience with IT operations or monitoring platforms
  • Knowledge of enterprise observability workflows
  • Foundational understanding of alerting mechanisms, metrics, and logs

Target Audience

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

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