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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • An overview of the evolution of enterprise observability and AIOps.
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem.
  • A comparative analysis of capabilities, strengths, integrations, and use cases.

Leveraging Splunk for AIOps

  • Ingesting metrics, logs, and events from varied sources.
  • Developing searches, dashboards, and alerts for real-time visibility.
  • Utilizing Splunk ITSI for anomaly detection and assessing service health.

Gaining Operational Intelligence with Moogsoft

  • Understanding Moogsoft AIOps architecture and deployment strategies.
  • Managing noise reduction, deduplication, and alert correlation.
  • Automating incident workflows and enriching data.

Achieving End-to-End Observability with Dynatrace

  • Deploying OneAgent and auto-discovering services.
  • Employing Davis AI for root cause analysis and predictive alerts.
  • Monitoring cloud-native environments, SLOs, and service flows.

Unifying Splunk, Moogsoft, and Dynatrace

  • Cross-platform data integration and API utilization.
  • Establishing unified incident management and escalation pathways.
  • Centralizing insights through dashboards and alert pipelines.

Architecting Scalable AIOps Workflows

  • Implementing self-healing automation across various toolchains.
  • Defining KPIs and reporting frameworks for AIOps performance.
  • Ensuring governance, access control, and audit compliance.

Case Studies and Enterprise Scenarios

  • Real-world applications in finance, telecommunications, and retail.
  • Assessing the ROI of adopting AIOps solutions.
  • Planning phased rollouts and managing change.

Conclusion and Future Directions

Requirements

  • Practical experience with IT operations or monitoring platforms.
  • Familiarity with enterprise-grade observability workflows.
  • Foundational knowledge of alerting mechanisms, metrics, and logs.

Target Audience

  • IT managers accountable for service reliability.
  • Teams dedicated to enterprise monitoring and observability.
  • Operations architects and infrastructure leaders.

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