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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- An overview of enterprise observability and the evolution of AIOps.
- Positioning Splunk, Moogsoft, and Dynatrace within the broader AIOps ecosystem.
- A comparative analysis of capabilities, including strengths, integrations, and specific use cases.
Leveraging Splunk for AIOps
- Ingesting metrics, logs, and events from various 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
- Understanding the architecture and deployment of Moogsoft AIOps.
- Managing noise reduction, deduplication, and alert correlation.
- Automating incident workflows and enriching incident data.
Comprehensive Observability with Dynatrace
- Deploying OneAgent and enabling automatic service discovery.
- Harnessing Davis AI for root cause identification and predictive problem alerts.
- Monitoring cloud-native environments, defining SLOs, and analyzing service flows.
Integrating Splunk, Moogsoft, and Dynatrace
- Facilitating cross-platform data integration and API connections.
- Establishing unified incident management and escalation pathways.
- Centralizing insights through dashboards and alert pipelines.
Designing Scalable AIOps Workflows
- Implementing self-healing automation across multiple toolchains.
- Defining KPIs and establishing reporting frameworks for AIOps performance.
- Managing governance, access control, and audit compliance.
Case Studies and Enterprise Use Scenarios
- Real-world examples from the finance, telecom, and retail sectors.
- Evaluating the ROI associated with AIOps adoption.
- Planning phased rollouts and managing organizational change.
Summary and Next Steps
Requirements
- Practical experience with IT operations or monitoring platforms.
- Proficiency with enterprise observability workflows.
- Foundational knowledge of alerting mechanisms, metrics, and logs.
Target Audience
- IT managers accountable for service reliability.
- Teams dedicated to enterprise monitoring and observability.
- Operations architects and infrastructure leaders.