Building a Network Observability Stack with Tools, Automation, and AI

​Modern infrastructures generate massive volumes of telemetry, but visibility alone isn't enough. Organizations need engineers who can transform telemetry into actionable insights, automate responses to incidents, and leverage AI responsibly to reduce troubleshooting time. This workshop focuses on practical techniques that you can apply immediately in production environments.

​Why Attend?

• ​Learn a practical approach to network observability used in production environments.

• ​Gain hands-on experience with industry-standard open-source tools.

• ​Understand how automation can reduce manual operational effort.

• ​Learn where AI enhances network operations—and where traditional techniques remain the better choice.

• ​Take home practical workflows and best practices that you can apply immediately.

​What You Will Learn

• ​By the end of this workshop, you'll be able to:
  Build a network observability stack using Telegraf, Prometheus, and Grafana.

• ​Collect and normalize network telemetry.
  Write PromQL and LogQL queries to troubleshoot network issues.

• ​Design dashboards and intent-aware alerts.

• ​Create observability-driven automation workflows.
  Apply AI-assisted techniques for anomaly detection and root cause analysis.

• ​Understand best practices for deploying observability solutions in production.

​Who Should Attend?

​This workshop is ideal for:

​Network Engineers, DevOps Engineers, Site Reliability Engineers (SREs), Systems Administrators, Platform Engineers, Cloud Infrastructure Professionals,IT professionals looking to modernize their observability skills