Enterprise AIOps with Splunk, Moogsoft, and Dynatrace

• Experience with IT operations or monitoring platforms
• Familiarity with enterprise observability workflows
• Basic understanding of alerting, metrics, and logs

Audience

• IT managers responsible for service reliability
• Enterprise monitoring and observability teams
• Operations architects and infrastructure leaders

Enterprise AIOps platforms like Splunk, Moogsoft, and Dynatrace provide powerful capabilities for detecting anomalies, correlating alerts, and automating responses across large-scale IT environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level enterprise IT teams who wish to integrate AIOps tools into their existing observability stack and operational workflows.

By the end of this training, participants will be able to:

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a unified AIOps architecture.
• Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
• Automate incident detection, prioritization, and response with built-in and custom workflows.
• Optimize performance, reduce MTTR, and improve operational efficiency at enterprise scale.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Enterprise AIOps Platforms

• Overview of enterprise observability and AIOps evolution
• Positioning Splunk, Moogsoft, and Dynatrace in the AIOps ecosystem
• Comparing capabilities: strengths, integrations, and use cases

Working with Splunk for AIOps

• Ingesting metrics, logs, and events from diverse sources
• Creating searches, dashboards, and alerts for real-time insight
• Using 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
• Incident workflow automation and enrichment

End-to-End Observability with Dynatrace

• OneAgent deployment and auto-discovery of services
• Davis AI for root cause detection and predictive problem alerts
• Cloud-native monitoring, SLOs, and service flow analytics

Integrating Splunk, Moogsoft, and Dynatrace

• Cross-platform data integration and APIs
• Unified incident management and escalation paths
• Centralizing insights via dashboards and alert pipelines

Designing Scalable AIOps Workflows

• Implementing self-healing automation across toolchains
• Defining KPIs and reporting for AIOps performance
• Governance, access control, and audit compliance

Case Studies and Enterprise Use Scenarios

• Real-world examples from finance, telecom, and retail
• Evaluating ROI from AIOps adoption
• Planning phased rollout and change management

Summary and Next Steps