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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of the evolution of enterprise observability and AIOps
- Role of Splunk, Moogsoft, and Dynatrace within the AIOps landscape
- Comparative analysis of capabilities, including strengths, integrations, and applicable use cases
Leveraging Splunk for AIOps
- Collecting metrics, logs, and events from varied sources
- Developing searches, dashboards, and alerts for immediate insights
- Utilizing Splunk ITSI for anomaly identification and service health assessment
Operational Intelligence through Moogsoft
- Architecture and deployment strategies for Moogsoft AIOps
- Reducing noise, deduplication, and correlating alerts
- Automating and enriching incident workflows
Comprehensive Observability with Dynatrace
- Deploying OneAgent and auto-discovering services
- Using Davis AI for root cause analysis and predictive issue alerts
- Monitoring cloud-native environments, SLOs, and service flow analysis
Unifying Splunk, Moogsoft, and Dynatrace
- Cross-platform data integration and API usage
- Establishing unified incident management and escalation procedures
- Centralizing insights through dashboards and alert pipelines
Building Scalable AIOps Workflows
- Implementing self-healing automation across toolchains
- Defining KPIs and generating reports for AIOps performance
- Managing governance, access control, and audit compliance
Case Studies and Enterprise Scenarios
- Practical examples from the finance, telecommunications, and retail sectors
- Assessing the ROI of adopting AIOps
- Planning phased implementation and change management
Recap and Future Actions
Requirements
- Practical experience with IT operations or monitoring systems
- Knowledge of enterprise observability processes
- Fundamental grasp of alerting mechanisms, metrics, and logs
Target Audience
- IT leaders accountable for service availability
- Teams specializing in enterprise monitoring and observability
- Operations architects and infrastructure directors
