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 Duration 14 hours

Course Outline

Introduction to Enterprise AIOps Platforms

  • Overview of the evolution of enterprise observability and AIOps.
  • The role of Splunk, Moogsoft, and Dynatrace within the AIOps ecosystem.
  • 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 service health scoring.

Operational Intelligence with Moogsoft

  • Architecture and deployment strategies for Moogsoft AIOps.
  • Implementing noise reduction, deduplication, and alert correlation.
  • Automating and enriching incident workflows.

Comprehensive Observability with Dynatrace

  • Deploying OneAgent and achieving auto-discovery of services.
  • Harnessing Davis AI for root cause detection and predictive problem alerts.
  • Managing cloud-native monitoring, SLOs, and service flow analytics.

Integrating Splunk, Moogsoft, and Dynatrace

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

Designing Scalable AIOps Workflows

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

Case Studies and Enterprise Scenarios

  • Real-world examples from the finance, telecom, and retail sectors.
  • Evaluating the ROI of AIOps adoption.
  • Planning phased rollouts and change management strategies.

Summary and Future Steps

Requirements

  • Practical experience with IT operations or monitoring platforms.
  • Familiarity with enterprise observability workflows.
  • Foundational understanding of alerting, metrics, and logging.

Target Audience

  • IT managers tasked with ensuring service reliability.
  • Teams specializing in enterprise monitoring and observability.
  • Operations architects and infrastructure leaders.

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