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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Background on enterprise observability and the evolution of AIOps
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
  • Comparative analysis of capabilities, including strengths, integrations, and applicable use cases

Leveraging Splunk for AIOps

  • Collection of metrics, logs, and events from various sources
  • Developing searches, dashboards, and alerts for immediate insights
  • Utilizing Splunk ITSI for anomaly identification and service health assessment

Gaining Operational Intelligence via Moogsoft

  • Understanding the architecture and deployment of Moogsoft AIOps
  • Mitigating noise, removing duplicates, and correlating alerts
  • Automating and enriching incident workflows

Achieving End-to-End Observability with Dynatrace

  • OneAgent installation and automatic service discovery
  • Employing Davis AI for root cause analysis and predictive problem alerts
  • Cloud-native monitoring, SLOs, and service flow analysis

Integrating Splunk, Moogsoft, and Dynatrace

  • Cross-platform data connection and API utilization
  • Consolidating incident management and escalation routes
  • Centralizing insights through dashboards and alert pipelines

Building Scalable AIOps Workflows

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

Case Studies and Enterprise Application Scenarios

  • Real-world examples from the finance, telecommunications, and retail sectors
  • Assessing the ROI of AIOps adoption
  • Planning phased deployment and change management strategies

Conclusion and Future Steps

Requirements

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

Target Audience

  • IT managers focused on service reliability
  • Teams dedicated to enterprise monitoring and observability
  • Operations architects and senior infrastructure leaders

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