Automated Network Troubleshooting using Splunk, AI and Ansible EDA | Ep. 80 скачать в хорошем качестве

Automated Network Troubleshooting using Splunk, AI and Ansible EDA | Ep. 80

This session provides an architectural blueprint for implementing a closed-loop, event-driven network automation system. The solution leverages observability data from Splunk to detect operational anomalies, which are then processed by Ansible Event-Driven Automation (EDA). The core of this architecture is the integration with a Generative AI model, which acts as a "domain expert" to translate the problem context into a machine-executable Ansible Playbook. Using OSPF neighbor-state as a practical use case, we will demonstrate the end-to-end data and process flow. Attendees will gain a deep understanding of how to configure Splunk alerts as EDA event sources, query an AI API for remediation logic, and execute the dynamically generated playbook for immediate resolution. Finally, we will cover the critical importance of the feedback loop, where post-remediation state is fed back into Splunk to validate the success of the automation.