- https://anttihavanko.medium.com/time-series-forecasting-for-prometheus-grafana-with-bigquery-ml-2154f7cd48b5
- https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
- https://otexts.com/fpp2/arima.html
- https://jupyter.org/install
- https://www.youtube.com/watch?v=exKkgQ1ovAk
- https://www.youtube.com/watch?v=7FBak9EShbQ
- useEffect 完整指南 https://overreacted.io/zh-hans/a-complete-guide-to-useeffect/
- react 用户登录界面开发 https://www.youtube.com/watch?v=PKwu15ldZ7k
- react router https://youtu.be/5s57C7leXc4?list=PL4cUxeGkcC9iVKmtNuCeIswnQ97in2GGf
- B-trees in 4 minutes https://www.youtube.com/watch?v=FgWbADOG44s
- Algorithms behind Modern Storage Systems https://www.youtube.com/watch?v=wxcCHvQeZ-U
- Bloom Filters in LSM Trees https://www.youtube.com/watch?v=em2j7sLhoyI
- Time-Series databases https://youtu.be/QVa8k36w0Ig
- https://gitee.com/CloudWise/OMP
- 数据结构 https://www.youtube.com/watch?v=pgw6gEjuwXk&list=PLlb9uS16I9D_i_aEzuLJdXUnIpBEOlh6E&index=7
- Transformer论文逐段精读 https://www.youtube.com/watch?v=nzqlFIcCSWQ
- 大模型时代下做科研的四个思路 https://www.youtube.com/watch?v=sZASxeGhE6c
- Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning https://www.youtube.com/watch?v=het9HFqo1TQ&list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU&index=3
- Harvard CS50’s Artificial Intelligence with Python https://www.youtube.com/watch?v=5NgNicANyqM
- 图片识别 https://www.youtube.com/watch?v=XIrOM9oP3pA
- 从“卷积”、到“图像卷积操作” https://www.youtube.com/watch?v=D641Ucd_xuw
- Python Artificial Intelligence Tutorial https://www.youtube.com/watch?v=XIrOM9oP3pA
- css flexbox弹性盒子布局 https://www.ruanyifeng.com/blog/2015/07/flex-grammar.html
- 工作流 https://github.com/bpmn-io/bpmn-js-examples/tree/master/overlays
- 工作流-流程图 https://demo.bpmn.io/
- 工作流-开源 https://camunda.com/download/platform-7/
- 工作流-设计 https://temporal.io/blog/workflow-engine-principles
- 工作流-go https://github.com/s8sg/goflow
- 工作流-java https://github.com/camunda/zeebe/tree/main
- 工作流-camunda-bpm-platform https://github.com/camunda/camunda-bpm-platform/tree/master
- 前端-vitejs https://cn.vitejs.dev/guide/why.html
- 消息队列 https://www.uber.com/en-HK/blog/cherami-message-queue-system/
- LLMOps https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/an-introduction-to-llmops-operationalizing-and-managing-large/ba-p/3910996
- 工作流设计-https://temporal.io/blog/workflow-engine-principles
- spring boot jdbc https://medium.com/@techphile/spring-data-jdbc-implementing-domain-driven-design-aggregate-4d6bac13c728
- spring boot jdbc https://github.com/naqashized/springdata-jdbc/tree/main/src/main
- 阿里云ACK
- 红帽Openshift(OCP)
- 亚马逊EKS
- AIGC（ AI Generated Content）是利用人工智能来生成你所需要的内容，GC的意思是创作内容。与之相对应的概念中，比较熟知的还有PGC，是专业人员用来创作内容；UGC是用户自己创造内容，顾名思义AIGC是利用人工智能来创造内容
- GAI 生成式AI
- 微服务
- K8S
- JVM
- DDD
- Serverless
- ServiceMesh
- 可观测
- DevSecOps
- 低代码
- 区块链
- Web3
- 元宇宙
- 数字孪生
- 数字化
- 微信小程序
- PaaS
- IaaS
- 私有云
- 公有云
- 混合云
- 云原生
- mycat
- apollo
- etcd
- Nacos
- RocketMQ 可深入
- ElK
- NIO
- Netty
- Ceph 暂缓
- Skywalking 暂缓
- Kafka
- Clickhouse 实时日志存储
- Consul 管理可以深入
- Redis redis中间件研究
- Mysql 数据库分库分表研究
- PostgreSQL
- 分布式数据库
- 分布式中间件
- 云原生
- 高性能分布式锁
- 混沌工程
- ebpf
- 内核
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SaaS
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电商
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AiOps
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数字化
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