Systems Architecture培训

Systems Architecture

Testi...Client Testimonials

Systems and Service Architecture - Microservices Architecture

The theory felt quite complete, we handled all important subjects. It was very nice we could zoom in on our use-case Achievements, which helped us with understanding the theory.

Henk Huybrechts - Gamebasics

Systems Architecture大纲

代码 名字 时长 概览
sysserarch Systems and Service Architecture - Microservices Architecture 14小时 Building complex enterprise applications is very challenging in an ever-changing environment. Changes in the integration between services or systems will trigger changes in the design of the system. This course covers how to design maintainable, fit to the size and purpose of your organisation service and systems architecture and practical infrastructure. This course covers common problems with building the landscape of distributed apps, starting from integration problem, infrastructure and modern approaches, to solving complexity issues. This course explains the pros and cons of each solution (e.g. traditional SOA vs Microservice architecture), available tools (mostly open-source) supporting the development and maintenance, etc.. Course Format It is mostly discussion (with limited presentations). Quick overview of traditional approaches Monolithic systems System of Systems Early service orientation (EAI, CORBA, etc...) Early webservices (SOAP, etc...) Service Oriented Architecture (SOA) Microservices Design concepts and tradesoff Flexibility and Complexity tradeoff Cohesion, Coupling Hidden dependencies vs explicit dependencies Small system vs Big System Module/Component vs Service Generic SOA Benefit and Costs of SOA Successes and failures in implementing SOA Messaging and ESB Infrastructure and tools supporting SOA Microservices and implementation of SOA - concepts Do one thing and do it well Microservice vs Service DevOps Continuous Deployment and Delivery Lightweight protocols Microservice protocols and tools HTTP, JMS, AMQP, Websockets, JSON, etc... Deployment Containers (Docker, K8N, LXC, etc...) Configuration Management (Ansible, etc...) Monitoring and Management Infrastructure Cloud and Auto Scalability Microservice redundancy and fail-over Performance scalability Auto scalability Implement: OpenStack, AWS, etc.... Real problems Complexity of ecosystem Network Performance Security Deployment Testing Nano-services
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