Welcome to Practical AIOps — a companion repository for the Cisco Live US 2025 session BRKOPS-2256: Exploring Practical AIOps Use Cases for Enterprise Networks with Splunk.
This project is designed to help you sink your teeth into real, actionable AIOps capabilities that you can start applying today. We’re giving you the tools, templates, and tutorials to bring AIOps concepts to life inside your own environment — no vague theory, just practical, hands-on guidance.
- 📦 Example use cases for applying AIOps in enterprise networks
- 🛠️ Tooling and scripts for data collection, anomaly detection, and automated remediation
- 📘 How-to guides and implementation walkthroughs
- 🚧 Information about access for the AIOps Playground (Coming Soon!)
- 🤖 Details for Project ADAPT: A multi-agent network troubleshooting system
Update 6/30/25: Complete video playlist added covering all components of enabling telemetry and building a machine learning model
6/20/25: The slide deck from our presentation at Cisco Live US 2025 is now available for download!_
6/16/25: The initial release of Project ADAPT is now available! You can clone and start experimenting with it via http://cs.co/adapt-ai
- 🧠 Project ADAPT – AI-Driven Action Planner and Troubleshooter A multi-agent system protoype designed to automate network fault diagnosis and mitigation workflows. Built to be extendable, explainable, and experiment-friendly.
- 📺 Cisco Live Presentation Deck The slide deck for "Exploring Practical AIOps Use Cases for Enterprise Networks with Splunk" from Cisco Live US 2025
- 📺 Install MLTK and View Incoming Telemetry Video demonstrating how to download MLTK and view incoming telemetry from your network
- 📺 Forwarding Model Driven Telemetry to Splunk Preview Video covering the components and configuration strategy to enable telemetry forwarding to splunk
- 📺 Telemetry to Splunk Demonstration Complete walk-through of getting your telemetry from XR switches to Splunk
- 📺 Splunk Machine Learning Toolkit: Extract Time Attributes Building out your machine learning model: Accounting for time perspective in your data stream
- 📺 Splunk Machine Learning Toolkit: Split by Fields Building out your machine learning model: Choosing the best features and attributes for your model
- 📺 Splunk Machine Learning Toolkit: Algorithm Selection Building out your machine learning model: Understanding how Algorithm selection happens in MLTK
- 📺 Outlier Tolerance Threshold Explained Building out your machine learning model: Fine tuning your model for anomaly sensitivity
- 📺 Splunk Machine Learning Toolkit: Review Phase Reviewing the results of your model
- 📺 Splunk Machine Learning Toolkit: Operationalize Phase Deploying your machine learning model in alerts
- 📺 Telemetry Validation Validate whether all the components in the telemetry flow are operating
We're just getting started. Here's what’s on the way:
- 🧪 AIOps Playground Lab On-demand lab resources that make it easy to spin up sample networks, trigger fault scenarios, build models for machine learning with Splunk and MLTK, and walk through step-by-step agentic workflows for fault diagnosis and remediation. Bring to life the scenarios we demonstrated in our session from Cisco Live US 2025. → Remote labs and tutorials launching week of 7/7.
- 🧪 Model-driven Telemetry and Machine Learning Lab We'll be hosting instances of Scott's walk-in lab from Cisco Live 2024 with a super-detailed lab guide to help you explore the step-by-step process of configuration model-driven telemetry and machine-learning in Splunk. → Remote labs and tutorials launching week of 7/7.
- 📈 Splunk MLTK Use Cases Tutorial Full-length walkthrough of setting up MLTK for anomaly detection. → Launching week of 6/23.
- 📞 Model-driven Telemetry Concifugration Tutorial Full-length walkthrough of setting up model-driven telemetry between Cisco network devices and Splunk → Launching week of 6/23.
- 📺 Cisco Live Presentation Recording The recording of "Exploring Practical AIOps Use Cases for Enterprise Networks with Splunk" from Cisco Live US 2025 → Available in early July.
Reach out to Jason Shoemaker and Scott Lake: 📫 [email protected]
This repository is part of Cisco Live 2025's breakout session BRKOPS-2256.
Stay tuned — we’ll be adding more use cases, open-source agents, and lab guides very soon. Let's build YOU-driven AIOps together.