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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

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

Leveraging Splunk for AIOps

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

Operational Intelligence with Moogsoft

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

Comprehensive Observability with Dynatrace

  • Deploying OneAgent and enabling automatic service discovery.
  • Harnessing Davis AI for root cause identification and predictive problem alerts.
  • Monitoring cloud-native environments, defining SLOs, and analyzing service flows.

Integrating Splunk, Moogsoft, and Dynatrace

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

Designing Scalable AIOps Workflows

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

Case Studies and Enterprise Use Scenarios

  • Real-world examples from the finance, telecom, and retail sectors.
  • Evaluating the ROI associated with AIOps adoption.
  • Planning phased rollouts and managing organizational change.

Summary and Next Steps

Requirements

  • Practical experience with IT operations or monitoring platforms.
  • Proficiency with enterprise 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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