环境介绍
在本例中一共部署了3个容器：
- front-envoy 容器作为 API 网关，所有的入向请求都通过 front-envoy 容器进行路由。front-envoy 容器暴露了 8080，8443 端口分别来接受 HTTP，HTTPS 请求，并根据路径分别将它们路由到对应的服务上，以及通过 8001 端口来接受 Envoy 自带的 admin 服务。
- 分别部署 service1 和 service2 两个Flask 应用程序，在该容器中启动 Envoy 服务， 通过 loopback 地址将请求路由到 Flask 应用程序。
service1 & service2 服务代码
service1 和 service2 都使用相同的代码启动 Flask 服务，通过 SERVICE_NAME 这个环境变量在访问的时候可以区分服务是 service1 还是 service2 。
代码语言：javascript复制# service.py
from flask import Flask
from flask import request
import os
import requests
import socket
import sys
app = Flask(__name__)
@app.route('/service/<service_number>')
def hello(service_number):
return ('Hello from behind Envoy (service {})! hostname: {} resolved'
'hostname: {}n'.format(os.environ['SERVICE_NAME'], socket.gethostname(),
socket.gethostbyname(socket.gethostname())))
if __name__ == "__main__":
app.run(host='127.0.0.1', port=8080, debug=True)
service1 & service2 的 envoy 服务配置
在 service1 和 service2 容器中还启动了 envoy 服务，外部客户端（本例中是 front-envoy 容器）访问 service1 和 service2 时是去访问 envoy , 然后由 envoy 通过 loopback 地址 将请求路由到 Flask 应用程序。
代码语言：javascript复制# service-envoy.yaml
static_resources: #定义静态资源
listeners: #监听器
- address:
socket_address:
address: 0.0.0.0 #envoy监听地址
port_value: 8000 #envoy监听端口号
filter_chains:
- filters:
- name: cr7_filters #自定义filters的名字
typed_config:
#https://www.envoyproxy.io/docs/envoy/latest/api-v3/extensions/filters/network/http_connection_manager/v3/http_connection_manager.proto
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
codec_type: auto #默认配置，connection manager 使用的编解码器，自动适配HTTP/1.1和HTTP/2
stat_prefix: ingress_http #connection manager 发出统计信息时使用的前缀
route_config: #静态配置路由管理，可选参数有3个：rds（通过RDS API动态加载）,route_config（静态）,scoped_routes（根据请求参数匹配路）
name: cr7_route #自定义路由配置名称
virtual_hosts: #定义一组虚拟主机
- name: cr7_service #自定义虚拟主机名称
domains: #匹配所有域名
- "*"
routes:
- match:
prefix: "/service" #匹配的URI路径
route:
cluster: cr7_cluster #上游集群名称
http_filters:
- name: envoy.filters.http.router #实现HTTP转发
# - name: cr7-router
# typed_config:
# "@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
clusters:
- name: cr7_cluster #自定义上游集群名称
connect_timeout: 0.25s #新连接到上游集群主机的超时时间
#https://www.envoyproxy.io/docs/envoy/latest/api-v3/config/cluster/v3/cluster.proto#envoy-v3-api-enum-config-cluster-v3-cluster-discoverytype
type: strict_dns #服务发现机制：通过域名解析
lb_policy: round_robin #负载均衡策略
load_assignment: #设置负载均衡的成员， 取代了V2 API中的hosts字段
cluster_name: cr7_upstream
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: 127.0.0.1 #通过loopback转发给本地flask服务
port_value: 8080
#https://www.envoyproxy.io/docs/envoy/latest/api-v3/config/bootstrap/v3/bootstrap.proto.html?highlight=access_log_path#envoy-v3-api-msg-config-bootstrap-v3-admin
admin: #envoy管理接口
access_log_path: "/tmp/access.log"
address:
socket_address:
address: 0.0.0.0
port_value: 8001
service1 & service2 Dockerfile 文件
service1 和 service2 容器启动脚本：首先启动Flask 服务，然后启动 envoy 服务。
代码语言：javascript复制# start_service.sh
#!/bin/sh
python3 /code/service.py &
envoy -c /etc/service-envoy.yaml --service-cluster "service${SERVICE_NAME}"
#Dockerfile-service
FROM envoyproxy/envoy-alpine-dev:latest
RUN apk update && apk add py3-pip bash curl
RUN pip3 install -q Flask==0.11.1 requests==2.18.4
RUN mkdir /code
ADD ./service.py /code
ADD ./start_service.sh /usr/local/bin/start_service.sh
RUN chmod u x /usr/local/bin/start_service.sh
ENTRYPOINT ["/bin/sh", "/usr/local/bin/start_service.sh"]
front-envoy envoy 配置文件
front-envoy 容器中只有 envoy 服务， 负责接收所有入访的流量，并且根据URI请求路径分发给service1 或者 service2 。另外还配置了 HTTPS 加密，生成了证书和私钥。
代码语言：javascript复制# front-envoy.yaml
static_resources:
listeners:
- address:
socket_address:
address: 0.0.0.0
port_value: 8080
filter_chains:
- filters:
- name: envoy.filters.network.http_connection_manager
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
codec_type: auto
stat_prefix: ingress_http
route_config:
name: local_route
virtual_hosts:
- name: backend
domains:
- "*"
routes:
- match:
prefix: "/service/1"
route:
cluster: service1
- match:
prefix: "/service/2"
route:
cluster: service2
http_filters:
- name: envoy.filters.http.router
typed_config: {}
- address:
socket_address:
address: 0.0.0.0
port_value: 8443
filter_chains:
- filters:
- name: envoy.filters.network.http_connection_manager
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
codec_type: auto
stat_prefix: ingress_http
route_config:
name: local_route
virtual_hosts:
- name: backend
domains:
- "*"
routes:
- match:
prefix: "/service/1"
route:
cluster: service1
- match:
prefix: "/service/2"
route:
cluster: service2
http_filters:
- name: envoy.filters.http.router
typed_config: {}
transport_socket:
name: envoy.transport_sockets.tls
typed_config:
"@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.DownstreamTlsContext
common_tls_context:
tls_certificates:
# The following self-signed certificate pair is generated using:
# $ openssl req -x509 -newkey rsa:2048 -keyout a/front-proxy-key.pem -out a/front-proxy-crt.pem -days 3650 -nodes -subj '/CN=front-envoy'
#
# Instead of feeding it as an inline_string, certificate pair can also be fed to Envoy
# via filename. Reference: https://www.envoyproxy.io/docs/envoy/latest/api-v3/config/core/v3/base.proto#config-core-v3-datasource.
#
# Or in a dynamic configuration scenario, certificate pair can be fetched remotely via
# Secret Discovery Service (SDS). Reference: https://www.envoyproxy.io/docs/envoy/latest/configuration/security/secret.
certificate_chain:
inline_string: |
-----BEGIN CERTIFICATE-----
MIICqDCCAZACCQCquzpHNpqBcDANBgkqhkiG9w0BAQsFADAWMRQwEgYDVQQDDAtm
cm9udC1lbnZveTAeFw0yMDA3MDgwMTMxNDZaFw0zMDA3MDYwMTMxNDZaMBYxFDAS
BgNVBAMMC2Zyb250LWVudm95MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKC
AQEAthnYkqVQBX Wg7aQWyCCb87hBce1hAFhbRM8Y9dQTqxoMXZiA2n8G089hUou
oQpEdJgitXVS6YMFPFUUWfwcqxYAynLK4X5im26Yfa1eO8La8sZUS 4Bjao1gF5/
VJxSEo2yZ7fFBo8M4E44ZehIIocipCRS YZehFs6dmHoq/MGvh2eAHIa O9xssPt
ofFcQMR8rwBHVbKy484O10tNCouX4yUkyQXqCRy6HRu7kSjOjNKSGtjfG h5M8bh
10W7ZrsJ1hWhzBulSaMZaUY3vh5ngpws1JATQVSK1Jm/dmMRciwlTK7KfzgxHlSX
58ENpS7yPTISkEICcLbXkkKGEQIDAQABMA0GCSqGSIb3DQEBCwUAA4IBAQCmj6Hg
vwOxWz0xu 6fSfRL6PGJUGq6wghCfUvjfwZ7zppDUqU47fk yqPIOzuGZMdAqi7N
v1DXkeO4A3hnMD22Rlqt25vfogAaZVToBeQxCPd/ALBLFrvLUFYuSlS3zXSBpQqQ
Ny2IKFYsMllz5RSROONHBjaJOn5OwqenJ91MPmTAG7ujXKN6INSBM0PjX9Jy4Xb9
zT I85jRDQHnTFce1WICBDCYidTIvJtdSSokGSuy4/xyxAAc/BpZAfOjBQ4G1QRe
9XwOi790LyNUYFJVyeOvNJwveloWuPLHb9idmY5YABwikUY6QNcXwyHTbRCkPB2I
m /R4XnmL4cKQ 5Z
-----END CERTIFICATE-----
private_key:
inline_string: |
-----BEGIN PRIVATE KEY-----
MIIEvQIBADANBgkqhkiG9w0BAQEFAASCBKcwggSjAgEAAoIBAQC2GdiSpVAFf5aD
tpBbIIJvzuEFx7WEAWFtEzxj11BOrGgxdmIDafwbTz2FSi6hCkR0mCK1dVLpgwU8
VRRZ/ByrFgDKcsrhfmKbbph9rV47wtryxlRL7gGNqjWAXn9UnFISjbJnt8UGjwzg
Tjhl6EgihyKkJFL5hl6EWzp2Yeir8wa HZ4Achr473Gyw 2h8VxAxHyvAEdVsrLj
zg7XS00Ki5fjJSTJBeoJHLodG7uRKM6M0pIa2N8b6HkzxuHXRbtmuwnWFaHMG6VJ
oxlpRje HmeCnCzUkBNBVIrUmb92YxFyLCVMrsp/ODEeVJfnwQ2lLvI9MhKQQgJw
tteSQoYRAgMBAAECggEAeDGdEkYNCGQLe8pvg8Z0ccoSGpeTxpqGrNEKhjfi6NrB
NwyVav10iq4FxEmPd3nobzDPkAftfvWc6hKaCT7vyTkPspCMOsQJ39/ixOk jqFx
lNa1YxyoZ9IV2DIHR1iaj2Z5gB367PZUoGTgstrbafbaNY9IOSyojCIO935ubbcx
DWwL24XAf51ez6sXnI8V5tXmrFlNXhbhJdH8iIxNyM45HrnlUlOk0lCK4gmLJjy9
10IS2H2Wh3M5zsTpihH1JvM56oAH1ahrhMXs/rVFXXkg50yD1KV HQiEbglYKUxO
eMYtfaY9i2CuLwhDnWp3oxP3HfgQQhD09OEN3e0IlQKBgQDZ/3poG9TiMZSjfKqL
xnCABMXGVQsfFWNC8THoW6RRx5Rqi8q08yJrmhCu32YKvccsOljDQJQQJdQO1g09
e/adJmCnTrqxNtjPkX9txV23Lp6Ak7emjiQ5ICu7iWxrcO3zf7hmKtj7z av8sjO
mDI7NkX5vnlE74nztBEjp3eC0wKBgQDV2GeJV028RW3b/QyP3Gwmax2 cKLR9PKR
nJnmO5bxAT0nQ3xuJEAqMIss/Rfb/macWc2N/6CWJCRT6a2vgy6xBW bqG6RdQMB
xEZXFZl sSKhXPkc5Wjb4lQ14YWyRPrTjMlwez3k4UolIJhJmwl D7OkMRrOUERO
EtUvc7odCwKBgBi nhdZKWXveM7B5N3uzXBKmmRz3MpPdC/yDtcwJ8u8msUpTv4R
JxQNrd0bsIqBli0YBmFLYEMg BwjAee7vXeDFq HCTv6XMva2RsNryCO4yD3I359
XfE6DJzB8ZOUgv4Dvluie3TB2Y6ZQV/p LGt7G13yG4hvofyJYvlg3RPAoGAcjDg
OH5zLN2eqah8qBN0CYa9/rFt0AJ19 7/smLTJ7QvQq4g0gwS1couplcCEnNGWiK
72y1n/ckvvplmPeAE19HveMvR9UoCeV5ej86fACy8V/oVpnaaLBvL2aCMjPLjPP9
DWeCIZp8MV86cvOrGfngf6kJG2qZTueXl4NAuwkCgYEArKkhlZVXjwBoVvtHYmN2
o F6cGMlRJTLhNc391WApsgDZfTZSdeJsBsvvzS/Nc0burrufJg0wYioTlpReSy4
ohhtprnQQAddfjHP7rh2LGt irFzhdXXQ1ybGaGM9D764KUNCXLuwdly0vzXU4HU
q5sGxGrC1RECGB5Zwx2S2ZY=
-----END PRIVATE KEY-----
clusters:
- name: service1
connect_timeout: 0.25s
type: strict_dns #服务发现机制：通过域名解析
lb_policy: round_robin
http2_protocol_options: {}
load_assignment:
cluster_name: service1
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: service1 # 通过 DNS 解析 service1 可以得到 service1 容器的 IP 地址
port_value: 8000
- name: service2
connect_timeout: 0.25s
type: strict_dns
lb_policy: round_robin
http2_protocol_options: {}
load_assignment:
cluster_name: service2
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: service2
port_value: 8000
admin:
access_log_path: "/dev/null"
address:
socket_address:
address: 0.0.0.0
port_value: 8001
layered_runtime:
layers:
- name: static_layer_0
static_layer:
envoy:
resource_limits:
listener:
example_listener_name:
connection_limit: 10000
front-envoy Dockerfile 文件
代码语言：javascript复制# Dockerfile-frontenvoy
FROM envoyproxy/envoy-dev:latest
RUN apt-get update && apt-get -q install -y
curl
COPY ./front-envoy.yaml /etc/front-envoy.yaml
RUN chmod go r /etc/front-envoy.yaml
CMD ["/usr/local/bin/envoy", "-c", "/etc/front-envoy.yaml", "--service-cluster", "front-proxy"]
docker-compose.yml 文件
代码语言：javascript复制# docker-compose.yaml
version: "3.7"
services:
front-envoy:
build:
context: .
dockerfile: Dockerfile-frontenvoy
networks:
- envoymesh
expose:
- "8080"
- "8443"
- "8001"
ports:
- "8080:8080"
- "8443:8443"
- "8001:8001"
service1:
build:
context: .
dockerfile: Dockerfile-service
volumes:
- ./service-envoy.yaml:/etc/service-envoy.yaml
networks:
envoymesh:
aliases:
- service1
environment:
- SERVICE_NAME=1 #通过环境变量来区分服务
expose:
- "8000"
service2:
build:
context: .
dockerfile: Dockerfile-service
volumes:
- ./service-envoy.yaml:/etc/service-envoy.yaml
networks:
envoymesh:
aliases:
- service2
environment:
- SERVICE_NAME=2
expose:
- "8000"
networks:
envoymesh: {}
运行验证
步骤一：安装 Docker
确保你已安装较新版本的 docker 和 docker-compose 。
步骤二：克隆仓库
代码语言：javascript复制git clone https://github.com/cr7258/envoy-lab.git
步骤三：启动所有容器
- up：启动容器
- -d：在后台运行
- --build：重新构建镜像
cd envoy-lab/front-proxy
docker-compose up -d --build
查看容器：
代码语言：javascript复制[root@envoy ~]# docker-compose ps
Name Command State Ports
-----------------------------------------------------------------------------------------------------------------------------------------------
root_front-envoy_1 /docker-entrypoint.sh /usr ... Up 10000/tcp, 0.0.0.0:8001->8001/tcp, 0.0.0.0:8080->8080/tcp, 0.0.0.0:8443->8443/tcp
root_service1_1 /bin/sh /usr/local/bin/sta ... Up 10000/tcp, 8000/tcp
root_service2_1 /bin/sh /usr/local/bin/sta ... Up 10000/tcp, 8000/tcp
步骤四：测试 Envoy 的路由能力
你现在可以通过 front-envoy 向两个服务发送请求。
向 service1 发请求：
代码语言：javascript复制[root@envoy ~]# curl -v localhost:8080/service/1
* About to connect() to localhost port 8080 (#0)
* Trying ::1...
* Connected to localhost (::1) port 8080 (#0)
> GET /service/1 HTTP/1.1
> User-Agent: curl/7.29.0
> Host: localhost:8080
> Accept: */*
>
< HTTP/1.1 200 OK
< content-type: text/html; charset=utf-8
< content-length: 89
< server: envoy
< date: Mon, 15 Mar 2021 15:29:28 GMT
< x-envoy-upstream-service-time: 2
<
Hello from behind Envoy (service 1)! hostname: e60ba6d0671c resolvedhostname: 172.18.0.2
向 service2 发请求：
代码语言：javascript复制[root@envoy ~]# curl -v localhost:8080/service/2
* About to connect() to localhost port 8080 (#0)
* Trying ::1...
* Connected to localhost (::1) port 8080 (#0)
> GET /service/2 HTTP/1.1
> User-Agent: curl/7.29.0
> Host: localhost:8080
> Accept: */*
>
< HTTP/1.1 200 OK
< content-type: text/html; charset=utf-8
< content-length: 89
< server: envoy
< date: Mon, 15 Mar 2021 15:29:32 GMT
< x-envoy-upstream-service-time: 2
<
Hello from behind Envoy (service 2)! hostname: 9727cf7b9303 resolvedhostname: 172.18.0.4
* Connection #0 to host localhost left intact
能看到，每个请求在发送给前端 Envoy 后被正确路由到相应的应用程序。
我们也可以通过 HTTPS 请求前端 Envoy 后的服务。例如，向 service1：
代码语言：javascript复制[root@envoy ~]# curl https://localhost:8443/service/1 -k -v
* About to connect() to localhost port 8443 (#0)
* Trying ::1...
* Connected to localhost (::1) port 8443 (#0)
* Initializing NSS with certpath: sql:/etc/pki/nssdb
* skipping SSL peer certificate verification
* SSL connection using TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256
* Server certificate:
* subject: CN=front-envoy
* start date: 7月 08 01:31:46 2020 GMT
* expire date: 7月 06 01:31:46 2030 GMT
* common name: front-envoy
* issuer: CN=front-envoy
> GET /service/1 HTTP/1.1
> User-Agent: curl/7.29.0
> Host: localhost:8443
> Accept: */*
>
< HTTP/1.1 200 OK
< content-type: text/html; charset=utf-8
< content-length: 89
< server: envoy
< date: Mon, 15 Mar 2021 15:30:10 GMT
< x-envoy-upstream-service-time: 2
<
Hello from behind Envoy (service 1)! hostname: e60ba6d0671c resolvedhostname: 172.18.0.2
* Connection #0 to host localhost left intact
步骤五：测试 Envoy 的负载均衡能力
现在增加 service1 的节点数量来演示 Envoy 的负载均衡能力：
代码语言：javascript复制[root@envoy ~]# docker-compose scale service1=3
WARNING: The scale command is deprecated. Use the up command with the --scale flag instead.
Starting root_service1_1 ... done
Creating root_service1_2 ... done
Creating root_service1_3 ... done
现在，如果我们多次向 service1 发送请求，前端 Envoy 将通过 round-robin 轮询三台 service1 机器来实现负载均衡：
代码语言：javascript复制docker-compose exec -T front-envoy bash -c "
curl -s http://localhost:8080/service/1
&& curl -s http://localhost:8080/service/1
&& curl -s http://localhost:8080/service/1"
| grep Hello | grep "service 1"
# 返回结果
Hello from behind Envoy (service 1)! hostname: 707d6f830af2 resolvedhostname: 172.18.0.5
Hello from behind Envoy (service 1)! hostname: 64eebf06b9db resolvedhostname: 172.18.0.6
Hello from behind Envoy (service 1)! hostname: e60ba6d0671c resolvedhostname: 172.18.0.2
步骤六：进入容器并 curl admin
当 Envoy 启动时，也会同时启动一个 admin 服务并绑定指定的端口。在示例配置中 admin 绑定到了 8001 端口。
我们可以通过 curl 它获得有用的信息：
[root@envoy ~]# curl localhost:8001/stats
cluster.service1.external.upstream_rq_200: 7
...
cluster.service1.membership_change: 2
cluster.service1.membership_total: 3
...
cluster.service1.upstream_cx_http2_total: 3
...
cluster.service1.upstream_rq_total: 7
...
cluster.service2.external.upstream_rq_200: 2
...
cluster.service2.membership_change: 1
cluster.service2.membership_total: 1
...
cluster.service2.upstream_cx_http2_total: 1
...
cluster.service2.upstream_rq_total: 2
...
能看到，我们可以获取上游集群的成员数量，它们完成的请求数量，有关 http 入口的信息以及大量其他有用的统计数据。
