This document discusses how to build scalable and stable web applications using VME. It focuses on measures for scalability including using distributed databases like MongoDB, message queues for logic decoupling, and stateless microservices for frontends and backends. It also covers high availability through techniques like MongoDB replication, RabbitMQ HA, and web server clusters. Additionally, it outlines the importance of automation through testing, DevOps, and containers, as well as comprehensive monitoring of availability, performance, errors, and alerts.

1. How we build VME
rapidly build scalable and stable web app

2. Measures
● Scalability
● High availability
● Automation
● Monitor

3. Scalability
● Distributed DB -- MongoDB
● Logic decoupling -- Message Queue
● Stateless web cluster -- both Frontend and Backend that
using micro services

4. Scalability - cont.
● Cloud service
○ Computing instance
○ Storage -- OSS/Qiniu
○ CloudDB
○ Image Processing
○ CDN
○ Cache -- Redis
○ …
● Property worker schedule

5. High availability
● MongoDB replication
● RabbitMQ HA
● Web server cluster
● Use cloud service as possible?

7. Automation
● Unit test / Integration test
● Devops
● Everything in containers(Docker)

10. Monitor
● Availability monitor
● Performance monitor
● Runtime errors
● Alerts

11. Data does not lie