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Femas is an open source product form of Tencent Cloud's microservice platform TSF . It focuses on the running state of microservices and provides one-stop microservice management and control capabilities such as multi-frame unified service discovery, north-south and east-west traffic management, service observability, and configuration management. In the service architecture transformation, the core issues are difficult to reuse heterogeneous frameworks, difficult to manage and control surge traffic, and time-consuming for troubleshooting and recovery.
- data plane: Femas uses the multi-runtime architecture design to standardize and modularize the underlying core capabilities of microservices, and assemble the basic components split in the microservice field through a reasonable architecture to meet diversified microservice scenarios. , lightweight, portable, low-cost, cloud-free vendor binding,Currently, the community provides governance data planes in two proxyLess modes:
SDK
and business-agnosticJVM TI Agent
.- control plane: Femas provides a unified control plane standard protocol, a set of governance protocols, and multi-language and multi-data plane distribution.
ability
Consul, nacos, eureka
), including cluster management and service management. Users can configure the registry cluster on the Paas platform to view the cluster status and service list.Authentication
, API management
, Fuse downgrade
, Access current limit
, Service registration discovery
, Service routing
, Service event
.governance rules
,application configuration
, open source side supports directly issuing governance rules through Paas platform
, do not rely on other third-party components.Metrics: Femas implements a set of standard API interfaces for business metrics. Femas uses
micrometer
to implement business metrics statistics by default.
Tracing: Femas implements a set of standard tracing API interfaces. The SDK side is responsible for formulating
OpenTracing
log specifications and link collection. By default, Opentelemtry is used to collect Tracing
Java
and Go
to help users realize multi-language unified management on the same Paas platform.Layer
layer of irrelevant protocols, which facilitates the integration of a full set of capabilities into any protocol, and realizes the unified management of multi-protocol.API
components, which are convenient for expansion and compatible with other open source component ecosystems.plug-in
and standardization
, and users can flexibly combine and match the microservice capability matrix according to their needs.
Java Agent
bytecode injectionServiceMesh
service mesh(TODO)
.
├── femas-adaptor # adaptation layer plugin for paas plateform
│ └── femas-adaptor-opensource-admin # The PAAS platform adaptation layer is adapted to the open source platform by default. If you want to connect to other control surfaces, you can plug-in an adapter. Secondly, you can assemble the capability matrix required by the platform here
├── femas-admin # admin
├── femas-admin-starter # starter for admin
├── femas-agent # java agent module
│ ├── femas-agent-core # javaagent bytebuddy core module
│ ├── femas-agent-example
│ ├── femas-agent-plugin # byte-code plugin module
│ ├── femas-agent-starter # premain entrance
│ └── femas-agent-tools
├── femas-api # the abstract layer of microservice life cycle, is convenient for users to connect with heterogeneous RPC framework
├── femas-benchmark
├── femas-common # toolkit
├── femas-config # abstraction layer of configuration module
├── femas-config-impl # implementation layer of configuration module
│ ├── femas-config-consul # consul for femas-config
│ ├── femas-config-nacos # nacos for femas-config
│ └── femas-config-paas # pass for femas-config
├── femas-dependencies-bom # Unified management of femas dependent versions
├── femas-example # demo
│ ├── feams-example-springcloud-hoxton
│ ├── femas-example-alibaba-dubbo-consumer
│ ├── femas-example-alibaba-dubbo-provider
│ ├── femas-example-springcloud-2020-consumer
│ ├── femas-example-springcloud-2020-provider
│ ├── femas-example-springcloud-greenwich-consumer
│ ├── femas-example-springcloud-greenwich-gateway
│ ├── femas-example-springcloud-greenwich-provider
│ └── femas-example-springcloud-greenwich-zuul
├── femas-extensions # rpc layer docking framework SDK
│ ├── femas-c-dubbo # extension for dubbo
│ └── femas-extension-springcloud # extension for springcloud
├── femas-governance # abstraction layer of governance module
├── femas-governance-impl # implementation layer of governance module
├── femas-helm
├── femas-registry # abstraction layer of registry module
├── femas-registry-impl # implementation layer of registry module
│ ├── femas-registry-consul
│ ├── femas-registry-etcd
│ ├── femas-registry-eureka
│ ├── femas-registry-k8s
│ ├── femas-registry-nacos
│ └── femas-registry-polaris
├── femas-starters # Starter dependency of user's SDK
│ ├── femas-dubbo-starters
│ └── femas-springcloud-starters
└── jacoco-aggregate
Runtime environment dependencies:
64 bit OS, support Linux/Unix/Mac/Windows, script startup supports Linux/Unix/Mac;
64 bit JDK 1.8+;
Maven 3.2.x+;
External database Mysql (optional)
mvn -Dmaven.test.skip=true clean install -U
cd femas-admin-starter/target/femas-admin-starter-$version/femas-admin/bin
sh startup.sh
The console configuration mainly includes:
Femas default Start with the embedded database:
The embedded database only supports single-machine deployment, and does not support cluster deployment. The embedded database data disk path is
${user.home}/rocksdb/femas/data/
To use the monitoring capability, the following configuration is required:
#Configure skywalking backend address
Femas:
trace:
backend:
addr: http://skywalking WEB IP:PORT
#Configure Metrics grafana address
metrics:
grafana:
addr: http://IP:PORT
Cluster deployment is the same as stand-alone deployment. The only difference is that the data source must be an external data source, so that the server side of Femas supports stateless horizontal expansion.
Configuration file configuration data source
spring:
datasource:
url: jdbc:mysql://IP:3306/adminDb?useUnicode=true&characterEncoding=utf8&rewriteBatchedStatements=true&useSSL=false&serverTimezone=Asia/Shanghai
username: username
password: password
hikari:
driver-class-name: com.mysql.cj.jdbc.Driver
The start command is
sh startup.sh external
Visit http://localhost:8080/index
to see the console page
Login user name: admin, password: 123456, the user name and password are hard-coded, and the open source side does not impose any permission restrictions.
Cluster addresses support IP:prot comma-separated, or domain name mode
Registry for namespace binding configuration
The service list of the femas governance center is logically isolated in the namespace dimension. The service list is pulled from the third-party registration center. The pull condition is to access FemasSDK and the name of the service tag (namespace ID written by -D below) The space is the same as the namespace selected in the list.
After completing the above two steps, you can then access femas through the SDK to manage the service to the paas platform.
Execute the script under the femas parent pom:
mvn -Dmaven.test.skip=true clean install -U
<!-- Native dependency of registry -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-consul-discovery</artifactId>
<version>2.1.2.RELEASE</version>
</dependency>
<!-- femas middleware dependency -->
<dependency>
<groupId>com.tencent.tsf</groupId>
<artifactId>femas-extension-springcloud-greenwich-starter</artifactId>
<version>${femas.latest.version}</version>
</dependency>
Currently Femas supports starter list directory: cd femas-starters/
The default supported version components are:
server:
port: 18001
spring:
application:
name:
femas-springcloud-consumer
cloud:
consul:
host: 127.0.0.1
port: 8500
discovery:
serviceName: femas-springcloud-consumer
instanceId: ${spring.application.name}-${server.port}-${spring.cloud.client.hostname}
heartbeat:
enabled: true
# nacos:
# discovery:
# server-addr: 127.0.0.1:8848
# Configure the paas background address, if not configured, get the rules from the local configuration file
paas_server_address: http://127.0.0.1:8080
femas_namespace_id=Namespace ID
femas_prog_version=Service version
# Use the method provided by Femas to access the registration center, how to use dubbo or self-developed protocol
femas_registry_ip: 127.0.0.1 //Registry center cluster address
femas_registry_port: 8500 //Registry center port number
femas_registry_type: consul //registry type
#The following configuration is optional, which is used to configure and load the basic component type and local governance rules. If not, load the default configuration of femas.
rateLimit:
type: femasRateLimit
authenticate:
type: femasAuthenticate
serviceRouter:
chain:
- FemasDefaultRoute
loadbalancer:
type: random
circuitBreaker:
enable: true
chain:
-femasCircuitBreaker
-javaagent:"{skywalking agent absolute path}/agent/skywalking-agent.jar"
-Dfemas_namespace_id=Namespace ID
-Dfemas_prog_version=Service version
-Dskywalking.agent.service_name=The name of the service registered on skywalking, which needs to be consistent with the name of the registration center
-Dskywalking.collector.backend_service=skywalking backend address, which can override the agent's conf configuration
- Reference agent probe of skywalking
- The service needs to specify its own namespace
- Specify the group to which the service belongs, and cooperate with the realization of service governance on the SDK side
- The service name registered to skywalking must be the same as the name registered to the registration center, otherwise the tracing link observation will not find the corresponding service.
For details, see the official document below
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