容器部署 #
INFINI Console 支持容器方式部署。
下载镜像 #
INFINI Console 的镜像发布在 Docker 的官方仓库,地址如下:
https://hub.docker.com/r/infinilabs/console
使用下面的命令即可获取最新的容器镜像:
docker pull infinilabs/console:latest
验证镜像 #
将镜像下载到本地之后,可以看到 INFINI Console 平台的容器镜像非常小,只有不到 30MB,所以下载的速度应该是非常快的。
✗ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
infinilabs/console latest 8c27cd334e4c 47 minutes ago 26.4MB
创建配置 #
现在需要创建一个配置文件 console.yml
,来进行基本的配置,如下:
# for this System Cluster, please use Elasticsearch v7.3+
elasticsearch:
- name: default
enabled: true
monitored: false
endpoint: http://192.168.3.188:9299
basic_auth:
username: elastic
password: ZBdkVQUUdF1Sir4X4BGB
discovery:
enabled: true
web:
enabled: true
embedding_api: true
auth:
enabled: true
ui:
enabled: true
path: .public
vfs: true
local: true
network:
binding: 0.0.0.0:9000
skip_occupied_port: true
gzip:
enabled: true
elastic:
elasticsearch: default
enabled: true
remote_configs: true
health_check:
enabled: true
interval: 30s
availability_check:
enabled: true
interval: 60s
metadata_refresh:
enabled: true
interval: 30s
cluster_settings_check:
enabled: true
interval: 20s
store:
enabled: false
orm:
enabled: true
init_template: true
template_name: ".infini"
index_prefix: ".infini_"
metrics:
enabled: true
major_ip_pattern: "192.*"
queue: metrics
elasticsearch:
enabled: true
cluster_stats: true
node_stats: true
index_stats: true
pipeline:
- name: indexing_merge
auto_start: true
keep_running: true
processor:
- indexing_merge:
input_queue: "metrics"
elasticsearch: "default"
index_name: ".infini_metrics"
output_queue:
name: "metrics_requests"
label:
tag: "metrics"
worker_size: 1
bulk_size_in_mb: 10
- name: consume-metrics_requests
auto_start: true
keep_running: true
processor:
- bulk_indexing:
bulk:
compress: true
batch_size_in_mb: 10
batch_size_in_docs: 5000
consumer:
fetch_max_messages: 100
queues:
type: indexing_merge
when:
cluster_available: [ "default" ]
- name: metadata_ingest
auto_start: true
keep_running: true
processor:
- metadata:
bulk_size_in_mb: 10
bulk_max_docs_count: 5000
fetch_max_messages: 1000
elasticsearch: "default"
queues:
type: metadata
category: elasticsearch
consumer:
group: metadata
when:
cluster_available: [ "default" ]
- name: activity_ingest
auto_start: true
keep_running: true
processor:
- activity:
bulk_size_in_mb: 10
bulk_max_docs_count: 5000
fetch_max_messages: 1000
elasticsearch: "default"
queues:
category: elasticsearch
activity: true
consumer:
group: activity
when:
cluster_available: [ "default" ]
Note: 上面配置里面的 Elasticsearch 的相关配置,请改成实际的服务器连接地址和认证信息,需要版本 v7.3 及以上。
启动平台 #
使用如下命令启动极限网关容器:
docker run -p 9000:9000 -v=`pwd`/console.yml:/console.yml infinilabs/console:latest
Docker Compose #
还可以使用 docker compose 来管理容器实例,新建一个 docker-compose.yml
文件如下:
version: "3.5"
services:
infini-console:
image: infinilabs/console:latest
ports:
- 9000:9000
container_name: "infini-console"
volumes:
- ../console.yml:/console.yml
volumes:
dist:
在配置文件所在目录,执行如下命令即可启动,如下:
➜ docker-compose up