soul-admin : Plug-in and other information configuration management background
soul-bootstrap : With the startup project, users can refer to
soul-client : User fast access with springMvc,dubbo,springCloud
soul-common : Framework common class
soul-metrics : metrics impl by prometheus.
soul-plugin : soul provider plugin collection.
soul-spi : soul spi define.
soul-spring-boot-starter : Support for the spring boot starter
soul-sync-data-center : provider zookeeper, http, websocket, nacos to sync data
soul-test : the rpc test project
soul-web : Core processing packages include plug-ins, request routing and forwarding, and so on
It provides plugins such as current limiting, fusing, forwarding, routing monitoring and so on.
Seamless docking with HTTP,Restful,websocket,dubbo and springcloud.
Plug-in hot plug, users can customize the development.
Selectors and rules are dynamically configured for flexible matching.
Support for cluster deployment.
Support A/B test and grayscale publishing。
Whenever a request comes in ,Soul Execute all open plug-ins through the chain of responsibility.
Plugins are the heart of soul And plug-ins are extensible and hot-pluggable.
Different plug-ins do different things
Of course, users can also customize plug-ins to meet their own needs.
If you want to customize, see plugin-extend
According to your HTTP request headers, selectors and rules are used to route your requests.
Selector is your first route, It is coarser grained, for example, at the module level.
Rule is your second route and what do you think your request should do,For example a method level in a module.
The selector and the rule match only once, and the match is returned. So the coarsest granularity should be sorted last.
All data is cached ConcurrentHashMap in the JVM So it's very fast.
When the user is managing changes in the background,
Soul dynamically updates the cache by listening to the zookeeper node, websocket push,http longPull.
Soul Has been used in our production environment,Its performance and flexibility allow us to use up very cool.
In double 11, we deployed 6 clusters, which supported a large volume of our business.