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 Duration 14 hours

Course Outline

Fundamentals of Enterprise AIOps Platforms

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

Leveraging Splunk for AIOps

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

Gaining Operational Intelligence with Moogsoft

  • Understanding the architecture and deployment of Moogsoft AIOps.
  • Reducing noise, deduplicating alerts, and correlating events effectively.
  • Automating incident workflows and enriching data for better context.

Achieving End-to-End Observability with Dynatrace

  • Deploying OneAgent and automating the discovery of services.
  • Using Davis AI for root cause analysis and predictive problem alerts.
  • Implementing cloud-native monitoring, Service Level Objectives (SLOs), and service flow analytics.

Integrating Splunk, Moogsoft, and Dynatrace

  • Cross-platform data integration utilizing 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 various toolchains.
  • Defining KPIs and establishing reporting mechanisms for AIOps performance.
  • Ensuring governance, access control, and audit compliance.

Case Studies and Enterprise Scenarios

  • Real-world examples from the finance, telecommunications, and retail sectors.
  • Assessing the Return on Investment (ROI) from adopting AIOps.
  • Planning phased rollouts and managing organizational change.

Conclusion and Recommended Next Steps

Requirements

  • Prior experience with IT operations or monitoring platforms.
  • Familiarity with enterprise-level observability workflows.
  • A foundational understanding of alerting mechanisms, metrics, and log management.

Target Audience

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

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