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Course Outline
Introduction to Enterprise AIOps Platforms
- An overview of the evolution of enterprise observability and AIOps.
- Positioning Splunk, Moogsoft, and Dynatrace within the AIOps landscape.
- Comparing capabilities: strengths, integrations, and use cases.
Leveraging Splunk for AIOps
- Ingesting metrics, logs, and events from various sources.
- Building searches, dashboards, and alerts for real-time visibility.
- Utilizing Splunk ITSI for anomaly detection and service health scoring.
Operational Intelligence with Moogsoft
- Architecture and deployment of Moogsoft AIOps.
- Noise reduction, deduplication, and alert correlation.
- Automating and enriching incident workflows.
End-to-End Observability with Dynatrace
- Deploying OneAgent and auto-discovering services.
- Davis AI for root cause analysis and predictive problem alerts.
- Monitoring cloud-native environments, defining SLOs, and analyzing service flows.
Integrating Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage.
- 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.
- Governance, access control, and audit compliance.
Case Studies and Enterprise Use Scenarios
- Real-world examples from finance, telecom, and retail sectors.
- Evaluating the return on investment from AIOps adoption.
- Planning phased rollouts and managing change.
Summary and Next Steps
Requirements
- Prior experience with IT operations or monitoring platforms.
- Familiarity with enterprise observability processes.
- Foundational knowledge of alerting, metrics, and logging.
Target Audience
- IT managers overseeing service reliability.
- Teams dedicated to enterprise monitoring and observability.
- Operations architects and infrastructure leaders.
14 Hours
