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Duration 14 hours
Course Outline
Introduction to Enterprise AIOps Platforms
- Overview of the evolution from traditional enterprise observability to AIOps.
- Examining the specific roles of Splunk, Moogsoft, and Dynatrace within the broader AIOps ecosystem.
- Comparative analysis of capabilities, including strengths, integration options, and ideal 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 advanced anomaly detection and service health scoring.
Gaining Operational Intelligence with Moogsoft
- Understanding the architecture and deployment models of Moogsoft AIOps.
- Techniques for noise reduction, alert deduplication, and intelligent correlation.
- Automating incident workflows and enriching incident data for better context.
Achieving End-to-End Observability with Dynatrace
- Deploying OneAgent for automatic service discovery.
- Harnessing Davis AI for root cause identification and predictive problem alerts.
- Implementing cloud-native monitoring, SLO management, and service flow analytics.
Integrating Splunk, Moogsoft, and Dynatrace
- Establishing cross-platform data integration and API connections.
- Creating unified incident management frameworks and clear escalation paths.
- Centralizing insights through consolidated dashboards and streamlined alert pipelines.
Designing Scalable AIOps Workflows
- Implementing self-healing automation across integrated toolchains.
- Defining key performance indicators (KPIs) and reporting structures for AIOps effectiveness.
- Ensuring governance, strict access control, and audit compliance.
Case Studies and Enterprise Use Scenarios
- Analysis of real-world implementations in finance, telecommunications, and retail sectors.
- Assessing the return on investment (ROI) from adopting AIOps.
- Strategies for planning phased rollouts and managing organizational change.
Summary and Recommended Next Steps
Requirements
- Prior experience with IT operations or monitoring platforms.
- Familiarity with enterprise-level observability workflows.
- Foundational knowledge of alerting mechanisms, metrics, and logging.
Target Audience
- IT managers tasked with ensuring service reliability.
- Teams specializing in enterprise monitoring and observability.
- Operations architects and infrastructure leaders.
