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 Duration 14 hours

Course Outline

Foundations of Enterprise AIOps Platforms

  • The progression from traditional observability to advanced AIOps models.
  • Positioning Splunk, Moogsoft, and Dynatrace within the current AIOps market.
  • A comparative analysis of their respective strengths, integration options, and ideal use cases.

Leveraging Splunk for AIOps

  • Aggregating metrics, logs, and events from a variety of sources.
  • Developing targeted searches, visual dashboards, and alerts for immediate insights.
  • Utilizing Splunk ITSI for detecting anomalies and evaluating service health.

Enhancing Operational Intelligence with Moogsoft

  • Understanding the architecture and deployment strategies for Moogsoft AIOps.
  • Techniques for noise reduction, deduplication, and effective alert correlation.
  • Automating and enriching incident workflows.

Achieving End-to-End Observability with Dynatrace

  • Deploying OneAgent and utilizing automatic service discovery.
  • Harnessing Davis AI for root cause analysis and predictive issue alerts.
  • Monitoring cloud-native environments, managing SLOs, and analyzing service flows.

Unified Integration of Splunk, Moogsoft, and Dynatrace

  • Facilitating cross-platform data exchange via APIs and integration points.
  • Establishing centralized incident management and clear escalation pathways.
  • Consolidating insights through unified dashboards and alert pipelines.

Architecting Scalable AIOps Workflows

  • Setting up self-healing automation across interconnected toolchains.
  • Defining key performance indicators and reporting mechanisms for AIOps effectiveness.
  • Ensuring governance, rigorous access control, and audit compliance.

Real-World Case Studies and Enterprise Scenarios

  • Insights from deployments in finance, telecommunications, and retail sectors.
  • Assessing the return on investment from AIOps implementation.
  • Strategies for phased rollouts and effective change management.

Conclusion and Future Directions

Requirements

  • Practical experience with IT operations or monitoring systems.
  • Working knowledge of enterprise observability processes.
  • Fundamental grasp of alerting mechanisms, metrics, and log data.

Target Audience

  • IT leaders tasked with ensuring service continuity and reliability.
  • Teams dedicated to enterprise monitoring and observability.
  • Operations architects and senior infrastructure personnel.

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