May 21
Loading video player...
Enterprise Kubernetes downtime costs companies upwards of $300,000 per hour. When an API Gateway fails or a WAF blocks your datacenter, standard AI automation crashes right alongside your infrastructure. Meet The Kernel: An autonomous, B2B Agentic SRE tool engineered for 100% mission uptime. Built for the TrueFoundry AI Hackathon. In this demo, we simulate a severe Kubernetes OOMKilled crash and a total AI vendor blackout. Watch our Multi-Agent Python architecture detect the failure, attempt to route via TrueFoundry, and finally execute an air-gapped "Edge Remediation" via kubectl to stabilize the cluster locally. Human MTTR is 30 minutes. The Kernel’s MTTR is 9 to 12 seconds. 🏗️ The Tech Stack: Cloud: Google Cloud Shell / Kubernetes Orchestration: Python, TrueFoundry AI Gateway AI Brains: Google Gemini 1.5 Pro & OpenAI GPT-4o Execution: Agentic kubectl fallback 👇 I want your brutal feedback: Do you trust an autonomous agent to execute kubectl commands in a production environment, or do human SREs still need to approve every PR? Let’s debate in the comments. 🔗 The Open-Source Vault: Check out the multi-agent architecture flow on GitHub: https://github.com/VedaannaLabs/the-kernel-sre Vote for the project on Devpost: https://devnetwork-ai-ml-hack-2026.devpost.com/ #DevOps #Kubernetes #AIAgents #TrueFoundry #SRE #CloudComputing #TechSpaceWithPavan AI Agent, Site Reliability Engineering, SRE, DevOps, Kubernetes, TrueFoundry, Google Gemini, GPT-4o, Autonomous AI, Cloud Computing, Kubernetes Troubleshooting, kubectl, Python Automation, TechSpace with Pavan, AI Hackathon, Agentic Workflows, LLM Routing