Reference CS 253 Web Security

https://zhuanlan.zhihu.com/p/32459776 https://www.zhihu.com/question/25089273/answer/233316164 https://zhuanlan.zhihu.com/p/343388831 https://zhuanlan.zhihu.com/p/75931257 https://zhuanlan.zhihu.com/p/348706530 https://zhuanlan.zhihu.com/p/334999899 https://www.zhihu.com/question/31687912/answer/95842364 https://github.com/VaughnVernon/IDDD_Samples

https://github.com/cosmicpython/code/branches/all Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

APM(Application Performance Management) ADS(Application Deploy Service) WAS(WebSphere Application Server) Dynatrace Pinpoint UEM用户体验运营 ADS RDS 用户行为分析: Google Analysis AS SAAS: API Gateway: Kong/Kong Centralized config server: Apollo Nacos Spring Cloud Config Go Microservices, Part 8: Centralized Configuration With Viper and Spring Cloud Config spring-cloud-alibaba APM： Pinpoint CodeHub: GitLab SCS (Stream Compute Service): Flink

第一章、引言 1.1 文件管理系统坏处 1.2 数据视图 1.3 数据模型 1.4 数据库语言 第二章、关系模型介绍 2.1 关系数据库的结构 2.2 数据库模式 2.3 码 第三章、SQL 3.1 SQL 查询语

引言 数据库管理系统（DBMS）由一个互相关联的数据的集合（数据库）和一组用以访问这些数据的程序组成。 数据库系统的一个主要目的是为用户提供数据

Why Databases? Concepts: Data models, DB systems overview SQL I Concepts: Schemas, Systems, Select-From-Where See Course Info for general submission information and the regrade policy. SQL II Concepts: Joins, Set operators, Subqueries SQL III Advanced Concepts: Grouping, Aggregations, Nested queries 9:30 AM — 10:20 AM Remote Scale: Indexing and IO Model Sorting, Building Indices Part 1 B+ Trees Query Optimization Part 1 See Course Info for general submission information and the regrade policy.

What Is Scalability? As your application scale, the database will often be the main bottleneck of the system. Scaling your database is a great way to deal with performance bottlenecks. Scalability is the system’s ability to deliver equal bang for the buck as you add resources to perform more work. Most benchmarks measure a system’s maximum

Preface For the technical aspects, we will use well-tailored tools, including the following: Python, to implement RESTful web services Git source control, to track the changes in an implementation, and GitHub, to share those changes Docker containers, to standardize the operation of each of the microservices Kubernetes, to coordinate the execution of multiple services Cloud services, such as Travis CI or AWS, to leverage existing commercial solutions to problems We

Reference 如何设计与实现一个自定义的二进制协议 手把手教你实现自定义的应用层协议 Designing and Implementing an Application Layer Network Protocol Using UNIX Sockets and TCP

ARP协议 地址解析协议(Address Resolution Protocol)，其基本功能为透过目标设备的IP地址，查询目标的MAC地址，以保证通信的顺利进行。

Introduction and Transport-Layer Services 运输层位于应用层和网络层之间，该层为运行在不同主机上的应用进程提供直接的通信服务，它将网络层的在两个端系统之间的交付服务扩展到运行在

Principles of Network Applications 研究网络应用程序的核心是写出能够运行在不同的端系统和通过网络彼此通信的程序。不需要写在网络核心设备如路由器或链路层交换机上运行的软件

What Is the Internet? A Nuts-and-Bolts Description 设备：称为主机（host）或端系统（end system） 端系统通过**通信链路（communication link）和分组交换

Multiple packets in pipeline at same time Packets may be damaged Packets may arrive out of order Packets may be duplicated They may not arrive at all! Summary so far: Applications send and receive data in packets over an Internet that is unreliable. How packets find their way across the Internet? Internet addresses | Data | Internet “IP” Address | All Internet packets carry a destination IP address. We usually write the IP address like this: 171.

zabbix部署过程，可以监控nginx的哪些参数，zabbix要监控nginx，nginx在另外一台服务器上那zabbix是如何知道ngi

简单自我介绍 项目大概介绍 对岗位了解吗 项目遇到什么问题 怎么解决 作为组长怎么管理 发展方向 让说说自己的优缺点 你觉得你能为我们带来什么？ 请用三个词评

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices Hands-On Microservices with Spring Boot and Spring Cloud: Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes Hands-On Docker for Microservices with Python: Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

What are Microservices? Architecture A microservices architecture consists of a collection of small, autonomous services. Each service is self-contained and should implement a single business capability within a bounded context. A bounded context is a natural division within a business and provides an explicit boundary within which a domain model exists. Characteristics Microservices are small, independent, and loosely coupled. Each service is a separate codebase. Services can be deployed independently. Services are responsible for persisting their own data or external state.

TensorFlow Docker requirements Install Docker 1 2 3 sudo pacman -S docker systemctl enable docker.service systemctl start docker.service For GPU support on Linux, 1 yay -S nvidia-container-toolkit The official TensorFlow Docker images are located in the tensorflow/tensorflow Docker Hub repository. Start a TensorFlow Docker container 1 docker run [-it] [--rm] [-p hostPort:containerPort] tensorflow/tensorflow[:tag] [command] Examples using CPU-only images 1 docker pull tensorflow/tensorflow 1 2 docker run -it --rm tensorflow/tensorflow \ python -c "import tensorflow as tf; print(tf.