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• file:aiops-main.exe
• file:4.借助eBPF+Flaco实时监测K8s安全威胁.ts
• file:1.eBPFBCC实战.mp4
• file:2.通过eBPF+Beyla实现零侵入Metrices和Tracing.ts
• file:3.借助eBPF、Cilium、Hubble实现零侵入可观测性.ts
• file:1.PromptEngineering入门和实战.mp4
• file:5.检索增强生成（RAG、GraphRAG）实战.mp4
• file:4.Fine-tuning实战.mp4
• file:6.本地部署常见开源模型并推理.mp4
• file:2.ChatCompletions、Memory、JSONMode实战.mp4
• file:4.Informers、Indexer、Workqueue.mp4
• file:5.实现一个简单的KubectlgetCRD.mp4
• file:1.Client-go简介和配置.mp4
• file:3.实现一个Client-goWatch客户端.mp4
• file:3.从零开发K8sGPT故障诊断工具.mp4
• file:1.GolangCLl实战：CobraSDK.mp4
• file:2.从零开发ChatK8s命令行工具.mp4
• file:2.OpenTelemetry的数据格式和组件.mp4
• file:3.OpenTelemetry数据流以及如何集成OpenTelemetry.ts
• file:4.XDP.mp4
• file:3.实战三：开发基于LLM的日志流监测Operator.mp4
• file:1.实战一：开发Operator调度GPU竞价实例资源池.ts
• file:2.实战二：Operator实现大模型私有部署.ts
• file:4.实战四：实现基于运维专家知识库故障排查Operator.ts
• file:5.零代码集成OpenTelemetry.mp4
• file:4.打造日志、指标和分布式追踪三合一查询面板.mp4
• file:2.Prometheus指标采集实战.mp4
• file:1.从精益、敏捷、DevOps到AIOps.mp4
• file:3.IaC和Terraform概述.mp4
• file:2.什么是AIOps.mp4
• file:1.多Agent协同自动修复K8s故障（上篇）.mp4