cortex 水平扩展试用

cortex 支持多实例运行，可以灵活实际大规模的部署，以下demo，运行了三个cortex 实例，没有配置副本数（主要是ha ）
同时对于三个cortex 使用haproxy 做为push 以及查询接口的lb，同时基于prometheus 对于haproxy 进行监控（基于haproxy 2.0 提供的promettheus
支持），基于docker-compose 运行系统依赖的组件，详细配置参考 github

环境准备

• docker-compose文件

 

version: "3"

services:

    haproxy:

      image: haproxy:2.0.5-alpine

      volumes:

      - "./haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg"

      ports:

      - "8404:8404"

      - "9009:9009"

    consul:

      image: consul

      ports:

      - "8500:8500"

    cortex1:

      image: cortexproject/cortex:master-7d13c2f0

      command: -config.file=/etc/single-process-config.yaml -ring.store=consul -consul.hostname=consul:8500

      ports:

      - "9001:9009"

      volumes:

      - "./single-process-config.yaml:/etc/single-process-config.yaml"

    cortex2:

      image: cortexproject/cortex:master-7d13c2f0

      command: -config.file=/etc/single-process-config.yaml -ring.store=consul -consul.hostname=consul:8500

      ports:

      - "9002:9009"

      volumes:

      - "./single-process-config.yaml:/etc/single-process-config.yaml"

    cortex3:

      image: cortexproject/cortex:master-7d13c2f0

      command: -config.file=/etc/single-process-config.yaml -ring.store=consul -consul.hostname=consul:8500

      ports:

      - "9003:9009"

      volumes:

      - "./single-process-config.yaml:/etc/single-process-config.yaml"

    granfan:

      image: grafana/grafana

      ports:

      - "3000:3000"

    node-exporter:

      image: basi/node-exporter

      ports:

      - "9100:9100"

    prometheus:

      image: prom/prometheus

      ports:

      - "9090:9090"

      volumes:

      - "./prometheus.yml:/etc/prometheus/prometheus.yml"

• cortex 配置
  single-process-config.yaml 文件

 

# Configuration for running Cortex in single-process mode.

# This should not be used in production. It is only for getting started

# and development.

# Disable the requirement that every request to Cortex has a

# X-Scope-OrgID header. `fake` will be substituted in instead.

auth_enabled: false

server:

  http_listen_port: 9009

  # Configure the server to allow messages up to 100MB.

  grpc_server_max_recv_msg_size: 104857600

  grpc_server_max_send_msg_size: 104857600

  grpc_server_max_concurrent_streams: 1000

​

distributor:

  shard_by_all_labels: true

  pool:

    health_check_ingesters: true

ingester_client:

  grpc_client_config:

    # Configure the client to allow messages up to 100MB.

    max_recv_msg_size: 104857600

    max_send_msg_size: 104857600

    use_gzip_compression: true

ingester:

  #chunk_idle_period: 15m

  lifecycler:

    # The address to advertise for this ingester. Will be autodiscovered by

    # looking up address on eth0 or en0; can be specified if this fails.

    # address: 127.0.0.1

    # We want to start immediately and flush on shutdown.

    join_after: 0

    claim_on_rollout: false

    final_sleep: 0s

    num_tokens: 512

    # Use an in memory ring store, so we don't need to launch a Consul.

    ring:

      kvstore:

        store: inmemory

      replication_factor: 1

# Use local storage - BoltDB for the index, and the filesystem

# for the chunks.

schema:

  configs:

  - from: 2019-03-25

    store: boltdb

    object_store: filesystem

    schema: v10

    index:

      prefix: index_

      period: 168h

storage:

  boltdb:

    directory: /tmp/cortex/index

  filesystem:

    directory: /tmp/cortex/chunks

• prometheus 配置
  prometheus.yml 文件，主要远端write 地址配置，同时配置了几个监控metrics

 

# my global config

global:

  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.

  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.

  # scrape_timeout is set to the global default (10s).

remote_write:

- url: http://haproxy:9009/api/prom/push

# Alertmanager configuration

alerting:

  alertmanagers:

  - static_configs:

    - targets:

      # - alertmanager:9093

​

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.

rule_files:

  # - "first_rules.yml"

  # - "second_rules.yml"

​

# A scrape configuration containing exactly one endpoint to scrape:

# Here it's Prometheus itself.

scrape_configs:

  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.

  - job_name: 'prometheus'

​

    # metrics_path defaults to '/metrics'

    # scheme defaults to 'http'.

​

    static_configs:

    - targets: ['localhost:9090']

​

  - job_name: 'node-exporter'

​

    # metrics_path defaults to '/metrics'

    # scheme defaults to 'http'.

​

    static_configs:

    - targets: ['node-exporter:9100']

​

  - job_name: 'haproxy-exporter'

​

    # metrics_path defaults to '/metrics'

    # scheme defaults to 'http'.

​

    static_configs:

    - targets: ['haproxy:8404']

• haproxy 配置
  主要是lb 后端cortex 服务9009 端口

 

global

    # master-worker required for `program` section

    # enable here or start with -Ws

    master-worker

    mworker-max-reloads 3

    # enable core dumps

    set-dumpable

    user root

    stats socket /run/haproxy.sock mode 600 level admin

    group root

    log stdout local0

​

defaults

    mode http

    log global

    timeout client 5s

    timeout server 5s

    timeout connect 5s

    option redispatch

    option httplog

​

resolvers dns

    parse-resolv-conf

    resolve_retries 3

    timeout resolve 1s

    timeout retry 1s

    hold other 30s

    hold refused 30s

    hold nx 30s

    hold timeout 30s

    hold valid 10s

    hold obsolete 30s

​

userlist api 

  user admin password $5$aVnIFECJ$2QYP64eTTXZ1grSjwwdoQxK/AP8kcOflEO1Q5fc.5aA

​

frontend stats

    bind *:8404

    # Enable Prometheus Exporter

    http-request use-service prometheus-exporter if { path /metrics }

    stats enable

    stats uri /stats

    stats refresh 10s

​

frontend fe_main

    bind :9009 

    log-format "%ci:%cp [%tr] %ft %b/%s %TR/%Tw/%Tc/%Tr/%Ta %ST %B %CC %CS %tsc %ac/%fc/%bc/%sc/%rc %sq/%bq %hr %hs %{+Q}r cpu_calls:%[cpu_calls] cpu_ns_tot:%[cpu_ns_tot] cpu_ns_avg:%[cpu_ns_avg] lat_ns_tot:%[lat_ns_tot] lat_ns_avg:%[lat_ns_avg]"

    default_backend be_main

​

backend be_main

     # Enable Power of Two Random Choices Algorithm

    balance random(2)

    # Enable Layer 7 retries

    retry-on all-retryable-errors

    retries 3 

    server cortex1 cortex1:9009 check inter 2s

    server cortex2 cortex2:9009 check inter 2s

    server cortex3 cortex3:9009 check inter 2s

backend be_503

    errorfile 503 /usr/local/etc/haproxy/errors/503.http

启动&&效果

• 启动

docker-compose up -d

• prometheus 效果

 

• haproxy 监控

• 配置grafana

主要是prometheus datasource 以及dashboard 的添加
datasource ，注意datasource 地址为cortex 通过haproxy lb 的地址

dashboard, 可以参考项目，直接导入node exporter以及haproxy 的metrics dashboard

• granfan 效果

• cortex ring 效果

独立

haproxy

说明

以上是一个简单的配置，实际上我们可以通过在cortex启动的时候指定-distributor.replication-factor=3 保证cortex 的ha，同时上边是比较简单的
实践，实际我们还需要其他后端存储做为数据的存储

参考资料

https://github.com/cortexproject/cortex/blob/master/docs/getting_started.md
https://github.com/rongfengliang/cortex-docker-compose-running