Technological change must be thought-first. Cloud native is a method of building and running applications, a set of technical systems and methodologies.
Cloud native (CloudNative) is a compound word, Cloud+Native. Cloud means that the application is located in the cloud, rather than a traditional data center; Native means that the application is designed with the cloud environment in mind from the beginning, designed for the
cloud natively, and runs in the best posture on the cloud, making full use of the cloud Platform elasticity + distributed advantages. Cloud native can be summarized into four key points: DevOps+continuous delivery+microservice+container.
Applications that conform to the cloud-native architecture should be: use open source stacks (K8S+Docker) for containerization, improve flexibility and maintainability based on microservice architecture, support continuous iteration and operation and maintenance automation with agile methods and DevOps, and use cloud
platforms Facilities realize elastic scaling, dynamic scheduling, and optimized resource utilization.
Moving to cloud-native applications requires working in a new cloud-native approach, which includes many aspects: infrastructure services, virtualization, containerization, container orchestration, and microservices.
This course condenses the teacher's many years of experience, based on the real industrial e-commerce business explanation, involves a variety of technical implementation solutions, involves multi-language coordinated development, allows students to be familiar with the whole process of cloud native development in actual combat, and experience the development brought by cloud native convenient. At present, the demand for cloud-native talents is also very large. Whoever grasps it as soon as possible can seize this opportunity and realize income growth.
This course will be divided into 3 stages:
The first stage: Most of the core services of the e-commerce system will be realized based on cloud native, including: user service, product service, product category service, product attribute service, brand service, order service, gateway services and more.
The second stage: complete the continuous integration of the entire project based on cloud native, continuous delivery, continuous deployment, and complete the automation of the entire project to the cloud, etc.
The third stage: Further improve and optimize the e-commerce system, adding big data, intelligent AI, etc.
Technologies covered in this course:
IDEA integrated development tools
SpringBoot
SpringCloud
SpringCloud Alibaba
Devops
Maven
Jenkins
CI/CD Continuous Integration Continuous Delivery
Git
Docker
Kubertenes
Distributed System Microservice Registration Center and Configuration Center: Nacos
Distributed System Microservice Traffic Guard: Sentinel
Distributed System Microservice Gateway: Gateway
Distributed System Microservice load balancing: Feign
distributed system microservice link tracking: Sleuth, Zipkin
distributed system microservice endpoint monitoring: spring boot admin
SpringSecurity and JWT (authentication and authorization)
message middleware solution (RabbitMQ)
MySQL (database)
MyCat MySQL distributed cluster solution
Lucene, Elasticsearch (search)
Nginx (web server)
multilingual (go language python language java language)
CORS realizes cross-domain
Swagger2 document generation tool
Quartz distributed task scheduling
Zookeeper
Ehcache
Restful
VUE+jQuery+Ajax+NodeJS
VUE+Element-UI
Go+Gin, TensorFlow, RNN, LSTM, Django, Spark
big data related technologies
, etc.
Course highlights:
1. Seamless connection with enterprises, real business scenarios in the industry
2. Integrating back-end + front-end + testing + operation and maintenance, comprehensive Master the technology chain
3. Coordinated development of multi-language Java+Go+Python, which belongs to the language application scenario
4. Support rapid iteration and development of projects
5. Use micro-service technology stack + front-end and back-end separation to build projects
6. Development system on the cloud to create a new First-generation R&D platform
7. Introduce a new design concept
8. Integrate SpringCloud Alibaba to achieve a unified integration solution
9 Kubernetes+Docker containerized deployment and management
10 Devops fully automated continuous integration and continuous delivery, deployment
11, TensorFlow, RNN, LSTM comprehensive application
12, Dynamic expansion, elastic automatic scaling
13. Service degradation under high concurrency, current limiting practice
14. Realize high concurrent requests and high availability architecture solutions
15. Introduce big data technology
16, introduce artificial intelligence technology
17. Full code operation, Provide course codes and materials
