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 Duration 14 hours

Course Outline

Overview of Enterprise AIOps Platforms

  • Evolution of enterprise observability and the rise of AIOps
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
  • Comparative analysis of capabilities, integrations, and ideal use cases

Leveraging Splunk for AIOps

  • Collecting metrics, logs, and events from various sources
  • Building searches, dashboards, and alerts for immediate insights
  • Applying Splunk ITSI for anomaly detection and service health assessment

Operational Intelligence via Moogsoft

  • Deploying and structuring Moogsoft AIOps
  • Mitigating noise, removing duplicates, and correlating alerts
  • Automating and enriching incident workflows

Holistic Observability with Dynatrace

  • Implementing OneAgent for automatic service discovery
  • Utilizing Davis AI for root cause analysis and predictive alerting
  • Monitoring cloud-native environments, defining SLOs, and analysing service flows

Unifying Splunk, Moogsoft, and Dynatrace

  • Cross-platform data synchronization and API integration
  • Establishing unified incident management and escalation procedures
  • Consolidating insights through centralized dashboards and alert pipelines

Architecting Scalable AIOps Workflows

  • Deploying self-healing automation across the toolchain
  • Setting KPIs and reporting structures for AIOps performance
  • Managing governance, access controls, and audit compliance

Real-World Case Studies and Enterprise Scenarios

  • Practical examples from the financial, telecommunications, and retail sectors
  • Assessing the return on investment from adopting AIOps
  • Strategizing phased rollouts and change management

Conclusion and Forward-Looking Steps

Requirements

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

Target Audience

  • IT leaders accountable for service availability
  • Teams focused on enterprise monitoring and observability
  • Infrastructure architects and operations executives

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