Compose
About versions and upgrading (Compose)
ASP.NET Core + SQL Server on Linux (Compose)
CLI environment variables (Compose)
Command-line completion (Compose)
Compose（組成）
Compose command-line reference（組合命令行參考）
Control startup order (Compose)
Django and PostgreSQL (Compose)
Docker stacks and distributed application bundles (Compose)
docker-compose build（docker-compose構(gòu)建）
docker-compose bundle
docker-compose config
docker-compose create
docker-compose down
docker-compose events
docker-compose exec
docker-compose help
docker-compose images
docker-compose kill
docker-compose logs
docker-compose pause
docker-compose port
docker-compose ps
docker-compose pull
docker-compose push
docker-compose restart
docker-compose rm
docker-compose run
docker-compose scale
docker-compose start
docker-compose stop
docker-compose top
docker-compose unpause
docker-compose up
Environment file (Compose)
Environment variables in Compose
Extend services in Compose
Frequently asked questions (Compose)
Getting started (Compose)
Install Compose
Link environment variables (deprecated) (Compose)
Networking in Compose
Overview of Docker Compose
Overview of docker-compose CLI
Quickstart: Compose and WordPress
Rails and PostgreSQL (Compose)
Sample apps with Compose
Using Compose in production
Using Compose with Swarm
Engine
.NET Core application (Engine)
About images, containers, and storage drivers (Engine)
Add nodes to the swarm (Engine)
Apply custom metadata (Engine)
Apply rolling updates (Engine)
apt-cacher-ng
Best practices for writing Dockerfiles (Engine)
Binaries (Engine)
Bind container ports to the host (Engine)
Breaking changes (Engine)
Build your own bridge (Engine)
Configure container DNS (Engine)
Configure container DNS in user-defined networks (Engine)
CouchDB (Engine)
Create a base image (Engine)
Create a swarm (Engine)
Customize the docker0 bridge (Engine)
Debian (Engine)
Default bridge network
Delete the service (Engine)
Deploy a service (Engine)
Deploy services to a swarm (Engine)
Deprecated Engine features
Docker container networking (Engine)
Docker overview (Engine)
Docker run reference (Engine)
Dockerfile reference (Engine)
Dockerize an application
Drain a node (Engine)
Engine
FAQ (Engine)
Fedora (Engine)
Get started (Engine)
Get started with macvlan network driver (Engine)
Get started with multi-host networking (Engine)
How nodes work (Engine)
How services work (Engine)
Image management (Engine)
Inspect the service (Engine)
Install Docker (Engine)
IPv6 with Docker (Engine)
Join nodes to a swarm (Engine)
Legacy container links (Engine)
Lock your swarm (Engine)
Manage nodes in a swarm (Engine)
Manage sensitive data with Docker secrets (Engine)
Manage swarm security with PKI (Engine)
Manage swarm service networks (Engine)
Migrate to Engine 1.10
Optional Linux post-installation steps (Engine)
Overview (Engine)
PostgreSQL (Engine)
Raft consensus in swarm mode (Engine)
Riak (Engine)
Run Docker Engine in swarm mode
Scale the service (Engine)
SDKs (Engine)
Select a storage driver (Engine)
Set up for the tutorial (Engine)
SSHd (Engine)
Storage driver overview (Engine)
Store service configuration data (Engine)
Swarm administration guide (Engine)
Swarm mode key concepts (Engine)
Swarm mode overlay network security model (Engine)
Swarm mode overview (Engine)
Understand container communication (Engine)
Use multi-stage builds (Engine)
Use swarm mode routing mesh (Engine)
Use the AUFS storage driver (Engine)
Use the Btrfs storage driver (Engine)
Use the Device mapper storage driver (Engine)
Use the OverlayFS storage driver (Engine)
Use the VFS storage driver (Engine)
Use the ZFS storage driver (Engine)
Engine: Admin Guide
Amazon CloudWatch logs logging driver (Engine)
Bind mounts (Engine)
Collect Docker metrics with Prometheus (Engine)
Configuring and running Docker (Engine)
Configuring logging drivers (Engine)
Control and configure Docker with systemd (Engine)
ETW logging driver (Engine)
Fluentd logging driver (Engine)
Format command and log output (Engine)
Google Cloud logging driver (Engine)
Graylog Extended Format (GELF) logging driver (Engine)
Journald logging driver (Engine)
JSON File logging driver (Engine)
Keep containers alive during daemon downtime (Engine)
Limit a container's resources (Engine)
Link via an ambassador container (Engine)
Log tags for logging driver (Engine)
Logentries logging driver (Engine)
PowerShell DSC usage (Engine)
Prune unused Docker objects (Engine)
Run multiple services in a container (Engine)
Runtime metrics (Engine)
Splunk logging driver (Engine)
Start containers automatically (Engine)
Storage overview (Engine)
Syslog logging driver (Engine)
tmpfs mounts
Troubleshoot volume problems (Engine)
Use a logging driver plugin (Engine)
Using Ansible (Engine)
Using Chef (Engine)
Using Puppet (Engine)
View a container's logs (Engine)
Volumes (Engine)
Engine: CLI
Daemon CLI reference (dockerd) (Engine)
docker
docker attach
docker build
docker checkpoint
docker checkpoint create
docker checkpoint ls
docker checkpoint rm
docker commit
docker config
docker config create
docker config inspect
docker config ls
docker config rm
docker container
docker container attach
docker container commit
docker container cp
docker container create
docker container diff
docker container exec
docker container export
docker container inspect
docker container kill
docker container logs
docker container ls
docker container pause
docker container port
docker container prune
docker container rename
docker container restart
docker container rm
docker container run
docker container start
docker container stats
docker container stop
docker container top
docker container unpause
docker container update
docker container wait
docker cp
docker create
docker deploy
docker diff
docker events
docker exec
docker export
docker history
docker image
docker image build
docker image history
docker image import
docker image inspect
docker image load
docker image ls
docker image prune
docker image pull
docker image push
docker image rm
docker image save
docker image tag
docker images
docker import
docker info
docker inspect
docker kill
docker load
docker login
docker logout
docker logs
docker network
docker network connect
docker network create
docker network disconnect
docker network inspect
docker network ls
docker network prune
docker network rm
docker node
docker node demote
docker node inspect
docker node ls
docker node promote
docker node ps
docker node rm
docker node update
docker pause
docker plugin
docker plugin create
docker plugin disable
docker plugin enable
docker plugin inspect
docker plugin install
docker plugin ls
docker plugin push
docker plugin rm
docker plugin set
docker plugin upgrade
docker port
docker ps
docker pull
docker push
docker rename
docker restart
docker rm
docker rmi
docker run
docker save
docker search
docker secret
docker secret create
docker secret inspect
docker secret ls
docker secret rm
docker service
docker service create
docker service inspect
docker service logs
docker service ls
docker service ps
docker service rm
docker service scale
docker service update
docker stack
docker stack deploy
docker stack ls
docker stack ps
docker stack rm
docker stack services
docker start
docker stats
docker stop
docker swarm
docker swarm ca
docker swarm init
docker swarm join
docker swarm join-token
docker swarm leave
docker swarm unlock
docker swarm unlock-key
docker swarm update
docker system
docker system df
docker system events
docker system info
docker system prune
docker tag
docker top
docker unpause
docker update
docker version
docker volume
docker volume create
docker volume inspect
docker volume ls
docker volume prune
docker volume rm
docker wait
Use the Docker command line (Engine)
Engine: Extend
Access authorization plugin (Engine)
Docker log driver plugins
Docker network driver plugins (Engine)
Extending Engine with plugins
Managed plugin system (Engine)
Plugin configuration (Engine)
Plugins API (Engine)
Volume plugins (Engine)
Engine: Security
AppArmor security profiles for Docker (Engine)
Automation with content trust (Engine)
Content trust in Docker (Engine)
Delegations for content trust (Engine)
Deploying Notary (Engine)
Docker security (Engine)
Docker security non-events (Engine)
Isolate containers with a user namespace (Engine)
Manage keys for content trust (Engine)
Play in a content trust sandbox (Engine)
Protect the Docker daemon socket (Engine)
Seccomp security profiles for Docker (Engine)
Secure Engine
Use trusted images
Using certificates for repository client verification (Engine)
Engine: Tutorials
Engine tutorials
Network containers (Engine)
Get Started
Part 1: Orientation
Part 2: Containers
Part 3: Services
Part 4: Swarms
Part 5: Stacks
Part 6: Deploy your app
Machine
Amazon Web Services (Machine)
Digital Ocean (Machine)
docker-machine active
docker-machine config
docker-machine create
docker-machine env
docker-machine help
docker-machine inspect
docker-machine ip
docker-machine kill
docker-machine ls
docker-machine provision
docker-machine regenerate-certs
docker-machine restart
docker-machine rm
docker-machine scp
docker-machine ssh
docker-machine start
docker-machine status
docker-machine stop
docker-machine upgrade
docker-machine url
Driver options and operating system defaults (Machine)
Drivers overview (Machine)
Exoscale (Machine)
Generic (Machine)
Get started with a local VM (Machine)
Google Compute Engine (Machine)
IBM Softlayer (Machine)
Install Machine
Machine
Machine CLI overview
Machine command-line completion
Machine concepts and help
Machine overview
Microsoft Azure (Machine)
Microsoft Hyper-V (Machine)
Migrate from Boot2Docker to Machine
OpenStack (Machine)
Oracle VirtualBox (Machine)
Provision AWS EC2 instances (Machine)
Provision Digital Ocean Droplets (Machine)
Provision hosts in the cloud (Machine)
Rackspace (Machine)
VMware Fusion (Machine)
VMware vCloud Air (Machine)
VMware vSphere (Machine)
Notary
Client configuration (Notary)
Common Server and signer configurations (Notary)
Getting started with Notary
Notary changelog
Notary configuration files
Running a Notary service
Server configuration (Notary)
Signer configuration (Notary)
Understand the service architecture (Notary)
Use the Notary client
?
This document uses PHP Chinese website manual Release
characters
Prometheus 是一個(gè)開源系統(tǒng)監(jiān)控和警報(bào)工具包。您可以將 Docker 配置為 Prometheus 目標(biāo)。本主題向您展示如何配置 Docker，設(shè)置 Prometheus 作為 Docker 容器運(yùn)行，并使用 Prometheus 監(jiān)控 Docker 實(shí)例。
警告：可用指標(biāo)和這些指標(biāo)的名稱正在積極開發(fā)中，并可能隨時(shí)更改。
目前，您只能監(jiān)控 Docker 本身。您目前無(wú)法使用 Docker 目標(biāo)監(jiān)控您的應(yīng)用程序。
配置 Docker
要將 Docker 守護(hù)程序配置為 Prometheus 目標(biāo)，您需要指定metrics-address。最好的方法是通過(guò)daemon.json默認(rèn)情況下位于以下位置之一的。如果該文件不存在，請(qǐng)創(chuàng)建它。
Linux：
/etc/docker/daemon.json
Windows 服務(wù)器：
C:\ProgramData\docker\config\daemon.json
適用于 Mac 的 Docker for Mac / Docker：?jiǎn)螕艄ぞ邫谥械?Docker 圖標(biāo)，選擇 Preferences，然后選擇 Daemon。點(diǎn)擊高級(jí)。
如果該文件當(dāng)前為空，請(qǐng)粘貼以下內(nèi)容：
{ "metrics-addr" : "127.0.0.1:9323", "experimental" : true}如果文件不為空，請(qǐng)?zhí)砑舆@兩個(gè)鍵，確保生成的文件是有效的JSON。請(qǐng)注意，除了最后一行，每行都以逗號(hào)（,）結(jié)尾。
保存文件，或者在 Docker for Mac 或 Docker for Windows 的情況下，保存配置。重新啟動(dòng) Docker。
Docker 現(xiàn)在在端口9323上公開 Prometheus 兼容指標(biāo)。
配置并運(yùn)行 Prometheus
在此示例中，Prometheus 在同一主機(jī)上作為 Docker 容器運(yùn)行。
復(fù)制以下配置文件之一并將其保存到/tmp/prometheus.yml。這是一個(gè)普通存儲(chǔ) Prometheus 配置文件，除了在文件底部添加 Docker 作業(yè)定義之外。Docker for Mac 和 Docker for Windows 需要稍微不同的配置。
Docker for Linux
Docker for Mac 或 Windows
# 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). # Attach these labels to any time series or alerts when communicating with # external systems (federation, remote storage, Alertmanager). external_labels: monitor: 'codelab-monitor'# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.rule_files: # - "first.rules" # - "second.rules"# 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: 'docker' # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ['localhost:9323']
# 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). # Attach these labels to any time series or alerts when communicating with # external systems (federation, remote storage, Alertmanager). external_labels: monitor: 'codelab-monitor'# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.rule_files: # - "first.rules" # - "second.rules"# 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: 'docker' # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ['192.168.65.1:9323']
接下來(lái)，使用此配置啟動(dòng)單個(gè)副本 Prometheus 服務(wù)。
$ docker service create --replicas 1 --name my-prometheus \ --mount type=bind,source=/tmp/prometheus.yml,destination=/etc/prometheus/prometheus.yml \ --publish 9090:9090/tcp \ prom/prometheus
驗(yàn)證 Docker 目標(biāo)是否在http：// localhost：9090 / targets / 中列出。
如果您使用 Docker for Mac 或 Docker for Windows，則無(wú)法直接訪問(wèn)端點(diǎn) URL。
使用 Prometheus
創(chuàng)建一個(gè)圖。點(diǎn)擊 Prometheus UI 中的圖表鏈接。從“ 執(zhí)行”按鈕右側(cè)的組合框中選擇一個(gè)度量標(biāo)準(zhǔn)，然后單擊“ 執(zhí)行”。以下屏幕截圖顯示了圖表engine_daemon_network_actions_seconds_count。
上圖顯示了一個(gè)相當(dāng)閑置的 Docker 實(shí)例。如果您正在運(yùn)行活動(dòng)工作負(fù)載，則您的圖形可能看起來(lái)不同
為了使圖表更有趣，可以通過(guò)啟動(dòng)一項(xiàng)服務(wù)來(lái)創(chuàng)建一些網(wǎng)絡(luò)操作，其中包括10個(gè)任務(wù)，它們可以不停地 ping Docker（您可以將 ping 目標(biāo)更改為任何您喜歡的任務(wù)）：
$ docker service create \ --replicas 10 \ --name ping_service \ alpine ping docker.com
等待幾分鐘（默認(rèn)刮取間隔為15秒）并重新加載圖形。
準(zhǔn)備就緒后，請(qǐng)停止并刪除ping_service服務(wù)，以免無(wú)緣無(wú)故地淹沒(méi)有ping的主機(jī)。
$ docker service remove ping_service
等待幾分鐘，你會(huì)發(fā)現(xiàn)圖表回落到閑置狀態(tài)。
下一步
閱讀 Prometheus 文檔
設(shè)置一些警報(bào)