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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • The evolution of enterprise observability and the rise of AIOps
  • Where Splunk, Moogsoft, and Dynatrace fit within the AIOps ecosystem
  • A comparative analysis of capabilities, including strengths, integrations, and primary use cases

Leveraging Splunk for AIOps

  • Aggregating metrics, logs, and events from varied data sources
  • Developing searches, dashboards, and alerts to gain real-time insights
  • Utilizing Splunk ITSI for anomaly detection and service health scoring

Enhancing Operational Intelligence with Moogsoft

  • Understanding the architecture and deployment of Moogsoft AIOps
  • Techniques for noise reduction, deduplication, and alert correlation
  • Automating incident workflows and data enrichment

Achieving End-to-End Observability with Dynatrace

  • OneAgent deployment strategies and automatic service discovery
  • Applying Davis AI for root cause analysis and predictive problem alerts
  • Monitoring cloud-native environments, managing SLOs, and analyzing service flows

Integrating Splunk, Moogsoft, and Dynatrace

  • Facilitating cross-platform data integration via APIs
  • Establishing unified incident management and escalation paths
  • Centralizing insights through integrated dashboards and alert pipelines

Designing Scalable AIOps Workflows

  • Implementing self-healing automation across the toolchain
  • Defining KPIs and generating reports for AIOps performance tracking
  • Ensuring governance, access control, and audit compliance

Case Studies and Enterprise Use Scenarios

  • Real-world applications from finance, telecom, and retail sectors
  • Assessing the ROI gained from AIOps adoption
  • Planning phased rollouts and managing organizational change

Summary and Next Steps

Requirements

  • Practical experience with IT operations or monitoring platforms
  • Acquaintance with enterprise-level observability processes
  • Fundamental grasp of alerting mechanisms, metrics, and log management

Target Audience

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

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