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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.