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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Overview of enterprise observability and the evolution of AIOps
  • Role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem
  • Comparison of capabilities: advantages, integrations, and application scenarios

Implementing Splunk for AIOps

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

Operational Intelligence via Moogsoft

  • Architecture and deployment strategies for Moogsoft AIOps
  • Reducing noise, deduplicating alerts, and correlating events
  • Automating and enriching incident workflows

Comprehensive Observability with Dynatrace

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

Integrating Splunk, Moogsoft, and Dynatrace

  • Cross-platform data integration and API usage
  • Unified incident management and escalation procedures
  • Centralizing insights through dashboards and alert pipelines

Designing Scalable AIOps Workflows

  • Establishing self-healing automation across toolchains
  • Defining KPIs and reporting mechanisms for AIOps performance
  • Governance, access management, and audit compliance

Case Studies and Enterprise Scenarios

  • Real-world examples from finance, telecommunications, and retail sectors
  • Assessing ROI from AIOps implementation
  • Planning phased rollouts and change management strategies

Summary and Future Steps

Requirements

  • Background in IT operations or monitoring platforms
  • Knowledge of enterprise observability workflows
  • Fundamental understanding of alerting, metrics, and logging

Target Audience

  • IT managers overseeing service reliability
  • Enterprise monitoring and observability teams
  • Operations architects and infrastructure leaders

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