GenAI Isn't Just for Product Teams

Most GenAI use cases today focus on product teams. Build a customer chatbot. Generate marketing copy. Develop a new product feature.

But DevOps, Site Reliability Engineering (SRE), and Cloud Center of Excellence (CCoE) teams have use cases too. Investigate an incident. Create a runbook. Generate cost optimization recommendations.

These are repetitive tasks that take time away from reliability improvements.

It's not that operations teams don't see the potential of GenAI. They're waiting for something useful — something that fits into their actual workflows, with code they can deploy and evaluate.

The gap is relevance, not readiness. What's missing is:

The GenAI for Ops Demo Library was created to address this.

The GenAI for Ops Demo Library is a collection of deployable code samples that demonstrate how generative AI can solve real operational challenges across security, cost optimization, resilience, and automation use cases. You can deploy each demo as-is or customize them to your environment.

There are currently 12 available demos:

Each demo is built on AWS services and AI integration patterns familiar to operations teams:

Additionally, each demo includes a deployment guide, technical design document, deployment script(s), and cost estimates with optimization tips.

To show how these demos work in practice, here's a walkthrough of one.

AWS Site-to-Site VPN tunnels fail for a lot of reasons: pre-shared key mismatches, IKE proposal incompatibilities, dead-peer-detection timeouts, Border Gateway Protocol (BGP) session drops, route withdrawals, throughput degradation. When a tunnel goes down at 2:00 AM, your on-call SRE has to read through CloudWatch metrics, VPN tunnel logs, and IPsec config to figure out what happened. That takes time and negatively impacts your Mean Time to Resolution (MTTR). This demo shows how AWS DevOps Agent autonomously triages these and other incidents, providing root cause analysis and actions for resolution.

The demo deploys a self-contained VPN environment and creates a DevOps Agent Space to investigate failures automatically.

When a tunnel fails or performance drops, DevOps Agent:

The demo has three layers:

Network layer

Monitoring layer

Intelligence layer

Tunnel Fails / Performance Degrades
             ↓
  CloudWatch Alarm Changes State
             ↓
    SNS Notification Received
             ↓
     Lambda Function Invoked
             ↓
DevOps Agent Investigation Starts
             ↓
     Investigation Completes
     → Root Cause Identified
     → Remediation Plan Generated

The demo includes 10 failure scenarios to inject and watch DevOps Agent investigate:

IKE

BGP

Other

Faster incident resolution. Autonomous investigation of VPN failures and performance degradation reduces MTTR from hours to minutes

Fewer repeat incidents. Targeted recommendations address incident root causes and strengthen VPN tunnel resilience

Greater operational efficiency. Less time spent on repetitive investigations and more time spent on high-value work

Each demo is built with AWS Well-Architected Framework Cost Optimization pillar in mind, so running costs stay minimal.

This specific demo is designed to be deployed, tested, and torn down. If left running continuously, the monthly cost is estimated to be ~$88/month ($0.12 × 730 hours).