supersaiyane/crashcourse

GitHub: supersaiyane/crashcourse

提供153门工具速成课程和30个交互式CLI练习场,助力工程师快速掌握各类工具。

Stars: 2 | Forks: 0

Star on GitHub    Fork on GitHub    Watch on GitHub

Courses Categories License Stars Forks

Docker Kubernetes Terraform AWS GCP Azure Prometheus Grafana Helm Jenkins GitHub Actions GitLab CI Linux Bash Git OpenTelemetry Ansible Argo CD Istio Redis PostgreSQL Kafka Vault Nginx Podman Vim Python Go Envoy Cloudflare

DevOps / SRE / Cloud / AI 速成课

153 门速成课。20 个分类。每个工具只需 2 天,从零基础到高效产出。
这是您唯一需要的代码库,助您从“这是什么?”转变为“我每天都在用”——涵盖 Docker、Kubernetes、Terraform、AWS、Prometheus、LLM 以及其他 130 多种工具。
概念优先,命令其次。没有废话。没有多余的幻灯片。只有您最需要的精华。

浏览主题学习路径在线网站参与贡献

如果这个代码库对您有帮助,请 给它点个 Star —— 这也有助于其他人发现它。

## 为什么会有这个项目 大多数“速查表”只是命令列表。大多数教程在讲授任何有用的内容之前,都会在环境配置上浪费几个小时。 **这个代码库与众不同。** 每个文件都遵循同样经过验证的进阶路线: ``` Why it exists --> Mental model --> Vocabulary --> DAY 1 (get it working) --> DAY 2 (make it real) --> Worked example --> Common pitfalls --> Quick command reference --> Next steps --> "The Mantra" (one-liner) ``` ## 每门课程包含什么 153 门课程中的每一门都包含 **10 个交互式章节**,旨在带您从零基础达到面试-ready 的水平: | 章节 | 您的收获 | |---------|------------------| | **为什么存在 + 心智模型** | “顿悟”时刻——在了解工具之前先理解问题 | | **术语表** | 阅读任何文档前必须掌握的 6-10 个术语 | | **第 1 天与第 2 天实战演练** | 从首次安装到生产级模式的动手实践路径 | | **架构图** | 使用 Mermaid 渲染的工具内部工作原理可视化图表 | | **终端演示** | 动画终端,随着您的滚动展示真实生产命令的输入过程 | | **面试题** | 资深工程师实际会问的 10 个可折叠问答 | | **快速测验** | 5 道快速自测题,答案默认隐藏 | | **对比矩阵** | 与 2 个最接近的替代方案的并排对比表 | | **学习资源** | 精选的 YouTube 频道、书籍和文档,助您深入学习 | | **快速命令参考** | 您会一直用 Ctrl+F 查找的密集速查表 | ## [网站](https://supersaiyane.github.io/crashcourse/)上的交互功能 [supersaiyane.github.io/crashcourse](https://supersaiyane.github.io/crashcourse/) 上的 PWA 提供了原始 markdown 无法实现的附加功能: - **进度追踪器** — 将课程标记为已读,查看所有 153 门课程的完成百分比 - **书签** — 为课程加星标,构建您的个人学习清单 - **从上次离开的地方继续** — 网站会记住您最后阅读的课程 - **高亮与批注** — 选择任意文本并添加所有人可见的内联批注(由 [Hypothes.is](https://hypothes.is) 提供支持) - **每门课程的讨论区** — 每门课程的底部都有一个由 GitHub Discussions 支持的评论区(由 [Giscus](https://giscus.app) 提供支持)——提问、分享技巧、帮助他人 - **深色 / 浅色主题** — 一键切换,跨会话保存 - **离线支持** — service worker 会缓存课程,方便您在没有网络的情况下阅读 - **搜索** — 跨所有 153 门课程和标签的即时模糊搜索 ## 目录 ### 容器与编排 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Docker | [Docker.md](containers/Docker.md) | Images, containers, volumes, networking, Compose, multi-stage builds | | Kubernetes | [Kubernetes.md](containers/Kubernetes.md) | Pods, Services, Deployments, ConfigMaps, RBAC, debugging | | Helm | [Helm.md](containers/Helm.md) | Charts, values, templates, repositories, hooks | | Kustomize | [Kustomize.md](containers/Kustomize.md) | Bases, overlays, patches, generators, template-free K8s config | | Istio | [Istio.md](containers/Istio.md) | Service mesh, mTLS, traffic splitting, canary deploys, VirtualService | | Cilium | [Cilium.md](containers/Cilium.md) | eBPF networking, L7 policies, Hubble observability, ClusterMesh | | Podman | [Podman.md](containers/Podman.md) | Daemonless containers, rootless, Buildah, Skopeo, Quadlet | | Velero | [Velero.md](containers/Velero.md) | K8s backup/restore, disaster recovery, cluster migration | | Harbor | [Harbor.md](containers/Harbor.md) | Private container registry, scanning, replication, RBAC | ### 基础设施即代码 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Terraform | [Terraform.md](iac/Terraform.md) | HCL, state, modules, workspaces, import, drift detection | | Ansible | [Ansible.md](iac/Ansible.md) | Agentless config management, playbooks, roles, vault, inventory | | Puppet | [Puppet.md](iac/Puppet.md) | Declarative config management, manifests, modules, Hiera, Bolt | | Packer | [Packer.md](iac/Packer.md) | Templates, builders, provisioners, golden images | | Pulumi | [Pulumi.md](iac/Pulumi.md) | IaC in real languages, stacks, state, vs Terraform | | Vault | [Vault.md](iac/Vault.md) | Secrets management, dynamic secrets, PKI, transit encryption | | Terragrunt | [Terragrunt.md](iac/Terragrunt.md) | DRY Terraform, multi-env, dependency orchestration | | Crossplane | [Crossplane.md](iac/Crossplane.md) | K8s-native cloud provisioning, Compositions, platform APIs | | OPA | [OPA.md](iac/OPA.md) | Policy as code, Rego, Gatekeeper, Conftest, admission control | | SaltStack | [SaltStack.md](iac/SaltStack.md) | Master/minion, states, pillars, grains, reactors, Salt-SSH | | Chef | [Chef.md](iac/Chef.md) | Recipes, cookbooks, knife, Test Kitchen, InSpec | | Consul | [Consul.md](iac/Consul.md) | Service discovery, health checks, KV store, Connect mesh | ### 云服务提供商 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | AWS | [AWS.md](cloud/AWS.md) | EC2, S3, IAM, VPC, Lambda, RDS, CloudFormation | | Google Cloud | [GCP.md](cloud/GCP.md) | gcloud, GKE, Cloud Run, IAM, networking | | Azure | [Azure.md](cloud/Azure.md) | az CLI, ARM, AKS, App Service, networking | | Cloudflare | [Cloudflare.md](cloud/Cloudflare.md) | Edge network, CDN, WAF, Workers, Pages, R2, Zero Trust | | FinOps | [FinOps.md](cloud/FinOps.md) | Cloud cost optimization, right-sizing, reservations, Kubecost | | 云网络 | [Cloud-Networking.md](cloud/Cloud-Networking.md) | VPC, subnets, CIDR, peering, Transit Gateway, PrivateLink | | 云安全 | [Cloud-Security.md](cloud/Cloud-Security.md) | IAM deep-dive, encryption, GuardDuty, zero trust, compliance | | 云架构 | [Cloud-Architecture.md](cloud/Cloud-Architecture.md) | Well-Architected, multi-account, landing zones, DR patterns | ### 可观测性 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Prometheus | [Prometheus.md](observability/Prometheus.md) | PromQL, targets, rules, alerting, federation | | Grafana | [Grafana.md](observability/Grafana.md) | Dashboards, panels, variables, provisioning | | Loki | [Loki.md](observability/Loki.md) | LogQL, labels, Promtail, log aggregation | | OpenTelemetry | [OpenTelemetry.md](observability/OpenTelemetry.md) | Traces, metrics, logs, SDK, collector, instrumentation | | Alertmanager | [Alertmanager.md](observability/Alertmanager.md) | Routing, grouping, silences, inhibition, receivers | | Tempo | [Tempo.md](observability/Tempo.md) | Distributed tracing backend, TraceQL, object storage | | Mimir | [Mimir.md](observability/Mimir.md) | Long-term Prometheus storage, multi-tenant, horizontal scaling | | Jaeger | [Jaeger.md](observability/Jaeger.md) | Distributed tracing, sampling, service dependency graphs | | ELK Stack | [ELK-Stack.md](observability/ELK-Stack.md) | Elasticsearch, Logstash, Kibana, index lifecycle management | | Fluentd & Fluent Bit | [Fluentd-FluentBit.md](observability/Fluentd-FluentBit.md) | Log collection, parsing, routing, K8s DaemonSet | ### CI/CD 与 GitOps | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | GitHub Actions | [GitHub-Actions.md](cicd/GitHub-Actions.md) | Workflows, jobs, actions, secrets, matrix builds | | GitLab CI/CD | [GitLab-CI.md](cicd/GitLab-CI.md) | Pipelines, stages, runners, artifacts, environments | | Jenkins | [Jenkins.md](cicd/Jenkins.md) | Pipelines, Jenkinsfile, agents, shared libraries | | Argo CD | [ArgoCD.md](cicd/ArgoCD.md) | GitOps, Applications, sync waves, multi-env promotion | | Flux | [Flux.md](cicd/Flux.md) | GitOps operator, Kustomizations, HelmRelease, image automation | | Tekton | [Tekton.md](cicd/Tekton.md) | K8s-native CI/CD, Tasks, Pipelines, Triggers, Chains | | Argo Rollouts | [Argo-Rollouts.md](cicd/Argo-Rollouts.md) | Progressive delivery, canary, blue-green, automated analysis | ### Linux 与终端 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Linux | [Linux.md](linux/Linux.md) | Filesystem, processes, permissions, systemd, troubleshooting | | Bash | [Bash.md](linux/Bash.md) | Scripting, variables, loops, functions, error handling | | Vim | [Vim.md](linux/Vim.md) | Modal editing, motions, operators, macros, splits | | tmux | [tmux.md](linux/tmux.md) | Sessions, windows, panes, key bindings, scripting | | systemd | [systemd.md](linux/systemd.md) | Units, services, timers, journalctl, security hardening | | awk | [awk.md](linux/awk.md) | Pattern scanning, field processing, one-liners for logs | | sed | [sed.md](linux/sed.md) | Stream editing, substitution, in-place transforms | | Regex | [Regex.md](linux/Regex.md) | Pattern matching, capture groups, lookahead, common patterns | | Makefile | [Makefile.md](linux/Makefile.md) | Task runner, build automation, project-level "how to run this" | | Python for SRE | [Python-for-SRE.md](linux/Python-for-SRE.md) | Automation scripts, API clients, custom exporters, ChatOps | | Go for Ops | [Go-for-Ops.md](linux/Go-for-Ops.md) | CLI tools, HTTP servers, K8s client-go, cross-compilation | ### 版本控制 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Git | [Git.md](vcs/Git.md) | Branching, merging, rebasing, stashing, workflows | | pre-commit | [pre-commit.md](vcs/pre-commit.md) | Git hooks framework, linters, formatters, secret scanning | ### 网络与 CLI 工具 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | HTTP | [HTTP.md](networking/HTTP.md) | Methods, status codes, headers, TLS, CORS, HTTP/2 & /3 | | DNS / curl / dig | [DNS-curl-dig.md](networking/DNS-curl-dig.md) | DNS resolution, HTTP debugging, API testing| Nginx | [Nginx.md](networking/Nginx.md) | Reverse proxy, load balancing, TLS, rate limiting | | Envoy | [Envoy.md](networking/Envoy.md) | L4/L7 proxy, xDS, circuit breaking, service mesh data plane | | WireGuard | [WireGuard.md](networking/WireGuard.md) | Modern VPN, site-to-site tunnels, Tailscale | | k6 | [k6.md](networking/k6.md) | Load testing, virtual users, thresholds, CI integration | | jq | [jq.md](networking/jq.md) | JSON parsing, filtering, transforming on the CLI | | yq | [yq.md](networking/yq.md) | YAML parsing, editing, converting on the CLI | ### 数据与消息传递 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | PostgreSQL | [PostgreSQL.md](data/PostgreSQL.md) | Operations, replication, VACUUM, EXPLAIN, backups, PgBouncer | | Redis | [Redis.md](data/Redis.md) | Data structures, persistence, Sentinel, Cluster, rate limiting | | Kafka | [Kafka.md](data/Kafka.md) | Topics, partitions, consumer groups, exactly-once, Schema Registry | | RabbitMQ | [RabbitMQ.md](data/RabbitMQ.md) | Exchanges, queues, routing, dead letters, quorum queues | | etcd | [etcd.md](data/etcd.md) | Distributed KV store, Raft consensus, K8s backing store | ### 安全 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Trivy | [Trivy.md](security/Trivy.md) | Image/IaC/secret scanning, SBOM, CI integration | | Falco | [Falco.md](security/Falco.md) | Runtime security, syscall monitoring, custom rules, Falcosidekick | | Checkov | [Checkov.md](security/Checkov.md) | IaC static analysis, Terraform/K8s security scanning | | Cosign & Sigstore | [Cosign-Sigstore.md](security/Cosign-Sigstore.md) | Container image signing, verification, supply chain security | | Sealed Secrets & ESO | [Sealed-Secrets.md](security/Sealed-Secrets.md) | GitOps-safe secrets, External Secrets Operator, SOPS | | cert-manager | [cert-manager.md](security/cert-manager.md) | Automated TLS certificates, Let's Encrypt, K8s integration | | SSH | [SSH.md](security/SSH.md) | Key management, tunneling, hardening, jump hosts, certificates | ### SRE 流程与实践 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | SRE 流程 | [SRE-Process.md](processes/SRE-Process.md) | SLI/SLO/SLA, error budgets, golden signals, toil reduction | | 事件响应 | [Incident-Response.md](processes/Incident-Response.md) | Roles, severity levels, communication, running a live incident | | 复盘与 RCA | [Postmortems-RCA.md](processes/Postmortems-RCA.md) | Blameless culture, 5 Whys, action items, templates | | 容量规划 | [Capacity-Planning.md](processes/Capacity-Planning.md) | Utilization, headroom, forecasting, load testing | | 混沌工程 | [Chaos-Engineering.md](processes/Chaos-Engineering.md) | Game days, hypothesis-driven failure injection, Chaos Mesh | | 灾难恢复 | [Disaster-Recovery.md](processes/Disaster-Recovery.md) | RTO/RPO, failover, DR drills, multi-region, backup strategy | | 可靠性模式 | [Reliability-Patterns.md](processes/Reliability-Patterns.md) | Retries, circuit breakers, bulkheads, graceful degradation | | 运维手册 | [Runbook-template.md](processes/Runbook-template.md) | Writing runbooks for 3 AM, reusable template | ### 平台工程 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | Backstage | [Backstage.md](platform/Backstage.md) | Developer portal, service catalog, templates, golden paths | | 特性开关 | [Feature-Flags.md](platform/Feature-Flags.md) | Progressive rollout, kill switches, A/B testing, OpenFeature | ### AI 与 LLM 工程 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | LLM 基础 | [LLM-Fundamentals.md](ai/LLM-Fundamentals.md) | Tokens, context windows, temperature, embeddings, transformers | | Prompt 工程 | [Prompt-Engineering.md](ai/Prompt-Engineering.md) | Few-shot, chain-of-thought, structured outputs, prompt templates | | RAG | [RAG.md](ai/RAG.md) | Retrieval-augmented generation, chunking, embeddings, vector stores | | LangChain | [LangChain.md](ai/LangChain.md) | Chains, agents, tools, memory, LCEL, retrieval | | LangGraph | [LangGraph.md](ai/LangGraph.md) | Stateful multi-agent workflows, conditional edges, checkpoints | | MCP | [MCP.md](ai/MCP.md) | Model Context Protocol, tools, resources, building servers | | Ollama | [Ollama.md](ai/Ollama.md) | Local LLM inference, Modelfiles, quantization, API | | vLLM | [vLLM.md](ai/vLLM.md) | High-throughput serving, PagedAttention, tensor parallelism | | LLMOps | [LLMOps.md](ai/LLMOps.md) | Prompt versioning, evaluation, tracing, cost management | | LLM 可观测性 | [LLM-Observability.md](ai/LLM-Observability.md) | LangSmith, Langfuse, OTel GenAI conventions, cost tracking | | LLM 安全 | [LLM-Security.md](ai/LLM-Security.md) | Prompt injection, OWASP LLM Top 10, guardrails, PII redaction | | AI 护栏 | [AI-Guardrails.md](ai/AI-Guardrails.md) | NeMo Guardrails, Llama Guard, input/output validation | | AIOps | [AIOps.md](ai/AIOps.md) | Anomaly detection, alert correlation, LLM-powered RCA | | 智能体模式 | [Agentic-Patterns.md](ai/Agentic-Patterns.md) | ReAct, tool use, planning, multi-agent, orchestration | | Claude Code | [Claude-Code.md](ai/Claude-Code.md) | Agentic coding CLI, CLAUDE.md, hooks, MCP, sub-agents | ### 软件工程与设计 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | 系统设计 | [System-Design.md](design/System-Design.md) | Scalability, availability, CAP, caching, sharding, estimation | | 高层设计 | [HLD.md](design/HLD.md) | Component diagrams, data flow, API contracts, technology selection | | 底层设计 | [LLD.md](design/LLD.md) | Class diagrams, data models, sequence diagrams, state machines | | 设计模式 | [Design-Patterns.md](design/Design-Patterns.md) | GoF patterns — Factory, Strategy, Observer, Decorator, Proxy | | 设计原则 | [Design-Principles.md](design/Design-Principles.md) | SOLID, DRY, KISS, YAGNI, Composition over Inheritance | | 整洁架构 | [Clean-Architecture.md](design/Clean-Architecture.md) | Hexagonal/onion, ports & adapters, dependency rule | | 微服务模式 | [Microservices-Patterns.md](design/Microservices-Patterns.md) | Saga, CQRS, event sourcing, outbox, strangler fig | | 领域驱动设计 | [DDD.md](design/DDD.md) | Bounded contexts, aggregates, ubiquitous language | | API 设计模式 | [API-Design-Patterns.md](design/API-Design-Patterns.md) | REST, gRPC, GraphQL, versioning, pagination, idempotency | ### 数据工程与 MLOps | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | MLOps | [MLOps.md](dataops/MLOps.md) | Experiment tracking, model registry, training pipelines, drift | | DataOps | [DataOps.md](dataops/DataOps.md) | Pipeline CI/CD, data contracts, quality monitoring | | Apache Airflow | [Airflow.md](dataops/Airflow.md) | DAGs, operators, sensors, KubernetesExecutor, scheduling | | dbt | [dbt.md](dataops/dbt.md) | Models, sources, tests, incremental, snapshots, macros | | Apache Spark | [Spark.md](dataops/Spark.md) | DataFrames, PySpark, partitioning, Spark SQL, streaming | | 数据质量 | [Data-Quality.md](dataops/Data-Quality.md) | Great Expectations, data contracts, freshness SLAs | ### 云原生模式 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | 12-Factor App | [Twelve-Factor-App.md](patterns/Twelve-Factor-App.md) | The methodology for cloud-native applications | | 云原生模式 | [Cloud-Native-Patterns.md](patterns/Cloud-Native-Patterns.md) | Sidecar, ambassador, adapter, init container, leader election | ### 面试准备 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | 系统设计面试 | [System-Design-Interview.md](interview/System-Design-Interview.md) | 45-min framework, estimation, trade-offs, level expectations | | 行为面试 | [Behavioral-Interview.md](interview/Behavioral-Interview.md) | STAR method, story bank, leadership principles, company-specific | | 简历与定位 | [Resume-Positioning.md](interview/Resume-Positioning.md) | ATS optimization, impact bullets, SRE/DevOps positioning | | 薪资谈判 | [Salary-Negotiation.md](interview/Salary-Negotiation.md) | TC negotiation script, counter-offers, competing offers | | 编程面试 | [Coding-Interview.md](interview/Coding-Interview.md) | SRE coding strategy, 15 patterns, problem-solving framework | | 算法与数据结构速查表 | [Algo-DS-Cheatsheets.md](interview/Algo-DS-Cheatsheets.md) | Hash maps, trees, graphs, heaps in real systems | ### 工程师职业发展 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | 工程师职业路径 | [Engineering-Career-Path.md](career/Engineering-Career-Path.md) | IC levels L3→Staff→Principal, promotion, IC vs Manager | | 工程领导力 | [Engineering-Leadership.md](career/Engineering-Leadership.md) | Tech lead, 1:1s, hiring, performance reviews, team design | | 职业转型 | [Career-Transitions.md](career/Career-Transitions.md) | IC→Manager, startup→enterprise, SRE→Platform, the five shifts | | 导师制 | [Mentorship.md](career/Mentorship.md) | Finding mentors, being a mentee, sponsorship, reverse mentoring | | 持续学习 | [Continuous-Learning.md](career/Continuous-Learning.md) | Learning science, tech radar, deep work, staying relevant | ### 产品与项目管理 | 主题 | 文件 | 您将学到什么 | |-------|------|-------------------| | 产品管理基础 | [Product-Management-Fundamentals.md](product/Product-Management-Fundamentals.md) | PM role, discovery vs delivery, PM vs PO vs PMM, working with engineering | | 产品战略 | [Product-Strategy.md](product/Product-Strategy.md) | Vision → strategy → roadmap, OKRs, North Star metrics, product-market fit | | 产品探索 | [Product-Discovery.md](product/Product-Discovery.md) | User research, JTBD, opportunity solution trees, assumption testing | | 产品路线图规划 | [Product-Roadmapping.md](product/Product-Roadmapping.md) | Now-Next-Later, RICE scoring, stakeholder alignment, saying no | | 产品分析 | [Product-Analytics.md](product/Product-Analytics.md) | AARRR metrics, funnel analysis, cohort analysis, A/B testing | | 用户故事与需求 | [User-Stories-Requirements.md](product/User-Stories-Requirements.md) | User stories, acceptance criteria, INVEST, story mapping, PRDs | | 产品驱动增长 | [Product-Led-Growth.md](product/Product-Led-Growth.md) | Freemium vs free trial, activation, virality loops, PLG metrics | | 干系人管理 | [Stakeholder-Management.md](product/Stakeholder-Management.md) | Managing up/across/down, RACI, influencing without authority | | 敏捷与 Scrum | [Agile-Scrum.md](product/Agile-Scrum.md) | Scrum framework, sprint planning, retros, velocity, story points | | Kanban | [Kanban.md](product/Kanban.md) | WIP limits, pull systems, flow metrics, Kanban vs Scrum | | 迭代规划估算 | [Sprint-Planning-Estimation.md](product/Sprint-Planning-Estimation.md) | Story points, planning poker, capacity planning, velocity tracking | | JIRA 与项目工具 | [JIRA-Project-Tools.md](product/JIRA-Project-Tools.md) | JIRA workflows, JQL, dashboards, Linear, Shortcut, GitHub Projects | | 风险管理 | [Risk-Management.md](product/Risk-Management.md) | Risk registers, probability × impact, RAID logs, contingency planning | | 技术项目管理 | [Technical-Program-Management.md](product/Technical-Program-Management.md) | TPM vs PM vs EM, cross-team coordination, launch readiness | | 交付与执行 | [Delivery-Execution.md](product/Delivery-Execution.md) | Release planning, feature flags, go/no-go, launch checklists | | 项目管理基础 | [Project-Management-Fundamentals.md](product/Project-Management-Fundamentals.md) | Waterfall vs Agile, triple constraint, PMBOK, project charter | | AI 时代的产品管理 | [PM-in-the-AI-Era.md](product/PM-in-the-AI-Era.md) | AI-augmented PM workflows, new skill stack, career positioning | ## 学习路径 **从零开始:** **云与基础设施:** **可观测性深入:** **安全路线:** **GitOps 与渐进式交付:** **Service mesh 与网络:** **数据与消息传递:** **面向 SRE 的 AI/ML:** **平台工程:** **日常生产力提升:** ## 许可证 本项目基于 MIT 许可证授权 - 详情请参阅 [LICENSE](LICENSE) 文件。

觉得这个项目有用?给这个代码库点个 Star —— 只需 2 秒钟,就能帮助成千上万的工程师发现它。

Star   Fork   Tweet

153 门速成课。20 个分类。专为那些宁愿看文档也不愿看 4 小时教程的工程师而打造。

标签:DevOps, SRE, 云计算, 人工智能, 偏差过滤, 命令行工具, 学习资源, 用户模式Hook绕过, 规则引擎, 速成教程