docker/swarmkit

Name: swarmkit

Owner: Docker

Description: A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

Created: 2016-02-12 00:02:15.0

Updated: 2018-05-24 01:09:46.0

Pushed: 2018-05-24 10:09:18.0

Homepage:

Size: 19720

Language: Go

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README

SwarmKit

SwarmKit is a toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

Its main benefits are:

• Distributed: SwarmKit uses the Raft Consensus Algorithm in order to coordinate and does not rely on a single point of failure to perform decisions.
• Secure: Node communication and membership within a Swarm are secure out of the box. SwarmKit uses mutual TLS for node authentication, role authorization and transport encryption, automating both certificate issuance and rotation.
• Simple: SwarmKit is operationally simple and minimizes infrastructure dependencies. It does not need an external database to operate.

Overview

Machines running SwarmKit can be grouped together in order to form a Swarm, coordinating tasks with each other. Once a machine joins, it becomes a Swarm Node. Nodes can either be worker nodes or manager nodes.

• Worker Nodes are responsible for running Tasks using an Executor. SwarmKit comes with a default Docker Container Executor that can be easily swapped out.
• Manager Nodes on the other hand accept specifications from the user and are responsible for reconciling the desired state with the actual cluster state.

An operator can dynamically update a Node's role by promoting a Worker to Manager or demoting a Manager to Worker.

Tasks are organized in Services. A service is a higher level abstraction that allows the user to declare the desired state of a group of tasks. Services define what type of task should be created as well as how to execute them (e.g. run this many replicas at all times) and how to update them (e.g. rolling updates).

Features

Some of SwarmKit's main features are:

• Orchestration

  • Desired State Reconciliation: SwarmKit constantly compares the desired state against the current cluster state and reconciles the two if necessary. For instance, if a node fails, SwarmKit reschedules its tasks onto a different node.

  • Service Types: There are different types of services. The project currently ships with two of them out of the box

    • Replicated Services are scaled to the desired number of replicas.
    • Global Services run one task on every available node in the cluster.

  • Configurable Updates: At any time, you can change the value of one or more fields for a service. After you make the update, SwarmKit reconciles the desired state by ensuring all tasks are using the desired settings. By default, it performs a lockstep update - that is, update all tasks at the same time. This can be configured through different knobs:

    • Parallelism defines how many updates can be performed at the same time.
    • Delay sets the minimum delay between updates. SwarmKit will start by shutting down the previous task, bring up a new one, wait for it to transition to the RUNNING state then wait for the additional configured delay. Finally, it will move onto other tasks.

  • Restart Policies: The orchestration layer monitors tasks and reacts to failures based on the specified policy. The operator can define restart conditions, delays and limits (maximum number of attempts in a given time window). SwarmKit can decide to restart a task on a different machine. This means that faulty nodes will gradually be drained of their tasks.

• Scheduling

  • Resource Awareness: SwarmKit is aware of resources available on nodes and will place tasks accordingly.

  • Constraints: Operators can limit the set of nodes where a task can be scheduled by defining constraint expressions. Multiple constraints find nodes that satisfy every expression, i.e., an AND match. Constraints can match node attributes in the following table. Note that engine.labels are collected from Docker Engine with information like operating system, drivers, etc. node.labels are added by cluster administrators for operational purpose. For example, some nodes have security compliant labels to run tasks with compliant requirements.

    | node attribute | matches | example | |:————- |:————-| :————-| | node.id | node's ID | node.id == 2ivku8v2gvtg4| | node.hostname | node's hostname | node.hostname != node-2| | node.ip | node's IP address | node.ip != 172.19.17.0/24| | node.role | node's manager or worker role | node.role == manager| | node.platform.os | node's operating system | node.platform.os == linux| | node.platform.arch | node's architecture | node.platform.arch == x86_64| | node.labels | node's labels added by cluster admins | node.labels.security == high| | engine.labels | Docker Engine's labels | engine.labels.operatingsystem == ubuntu 14.04|

  • Strategies: The project currently ships with a spread strategy which will attempt to schedule tasks on the least loaded nodes, provided they meet the constraints and resource requirements.

• Cluster Management

  • State Store: Manager nodes maintain a strongly consistent, replicated (Raft based) and extremely fast (in-memory reads) view of the cluster which allows them to make quick scheduling decisions while tolerating failures.
  • Topology Management: Node roles (Worker / Manager) can be dynamically changed through API/CLI calls.
  • Node Management: An operator can alter the desired availability of a node: Setting it to Paused will prevent any further tasks from being scheduled to it while Drained will have the same effect while also re-scheduling its tasks somewhere else (mostly for maintenance scenarios).

• Security

  • Mutual TLS: All nodes communicate with each other using mutual TLS. Swarm managers act as a Root Certificate Authority, issuing certificates to new nodes.
  • Token-based Join: All nodes require a cryptographic token to join the swarm, which defines that node's role. Tokens can be rotated as often as desired without affecting already-joined nodes.
  • Certificate Rotation: TLS Certificates are rotated and reloaded transparently on every node, allowing a user to set how frequently rotation should happen (the current default is 3 months, the minimum is 30 minutes).

Build

Requirements:

• Go 1.6 or higher
• A working golang environment
• Protobuf 3.x or higher to regenerate protocol buffer files (e.g. using make generate)

SwarmKit is built in Go and leverages a standard project structure to work well with Go tooling. If you are new to Go, please see BUILDING.md for a more detailed guide.

Once you have SwarmKit checked out in your $GOPATH, the Makefile can be used for common tasks.

From the project root directory, run the following to build swarmd and swarmctl:

ke binaries

Test

Before running tests for the first time, setup the tooling:

ke setup

Then run:

ke all

Usage Examples

Setting up a Swarm

These instructions assume that swarmd and swarmctl are in your PATH.

(Before starting, make sure /tmp/node-N don't exist)

Initialize the first node:

armd -d /tmp/node-1 --listen-control-api /tmp/node-1/swarm.sock --hostname node-1

Before joining cluster, the token should be fetched:

port SWARM_SOCKET=/tmp/node-1/swarm.sock  
armctl cluster inspect default  
        : 87d2ecpg12dfonxp3g562fru1
        : default
estration settings:
sk history entries: 5
atcher settings:
spatcher heartbeat period: 5s
ificate Authority settings:
rtificate Validity Duration: 2160h0m0s
in Tokens:
Worker: SWMTKN-1-3vi7ajem0jed8guusgvyl98nfg18ibg4pclify6wzac6ucrhg3-0117z3s2ytr6egmmnlr6gd37n
Manager: SWMTKN-1-3vi7ajem0jed8guusgvyl98nfg18ibg4pclify6wzac6ucrhg3-d1ohk84br3ph0njyexw0wdagx

In two additional terminals, join two nodes. From the example below, replace 127.0.0.1:4242 with the address of the first node, and use the <Worker Token> acquired above. In this example, the <Worker Token> is SWMTKN-1-3vi7ajem0jed8guusgvyl98nfg18ibg4pclify6wzac6ucrhg3-0117z3s2ytr6egmmnlr6gd37n. If the joining nodes run on the same host as node-1, select a different remote listening port, e.g., --listen-remote-api 127.0.0.1:4343.

armd -d /tmp/node-2 --hostname node-2 --join-addr 127.0.0.1:4242 --join-token <Worker Token>
armd -d /tmp/node-3 --hostname node-3 --join-addr 127.0.0.1:4242 --join-token <Worker Token>

If joining as a manager, also specify the listen-control-api.

armd -d /tmp/node-4 --hostname node-4 --join-addr 127.0.0.1:4242 --join-token <Manager Token> --listen-control-api /tmp/node-4/swarm.sock --listen-remote-api 127.0.0.1:4245

In a fourth terminal, use swarmctl to explore and control the cluster. Before running swarmctl, set the SWARM_SOCKET environment variable to the path of the manager socket that was specified in --listen-control-api when starting the manager.

To list nodes:

port SWARM_SOCKET=/tmp/node-1/swarm.sock
armctl node ls
                       Name    Membership  Status  Availability  Manager Status
                       ----    ----------  ------  ------------  --------------
fpoi36eujbdkgdnbvbi6r  node-2  ACCEPTED    READY   ACTIVE
3tyipofoa2iwqgabsdcve  node-1  ACCEPTED    READY   ACTIVE        REACHABLE *
k1uqxhnyyujq66ho0h54t  node-3  ACCEPTED    READY   ACTIVE
wfawdasdewfq66ho34eaw  node-4  ACCEPTED    READY   ACTIVE        REACHABLE

Creating Services

Start a redis service:

armctl service create --name redis --image redis:3.0.5
g7vc7cbf9k57qs722n2le

List the running services:

armctl service ls
                       Name   Image        Replicas
                       ----   -----        --------
g7vc7cbf9k57qs722n2le  redis  redis:3.0.5  1/1

Inspect the service:

armctl service inspect redis
              : 08ecg7vc7cbf9k57qs722n2le
              : redis
icas          : 1/1
late
tainer
age           : redis:3.0.5

 ID                      Service    Slot    Image          Desired State    Last State                Node
---                      -------    ----    -----          -------------    ----------                ----
ir8wr85lbs8sqg0ug03vr    redis      1       redis:3.0.5    RUNNING          RUNNING 1 minutes ago    node-1

Updating Services

You can update any attribute of a service.

For example, you can scale the service by changing the instance count:

armctl service update redis --replicas 6
g7vc7cbf9k57qs722n2le

armctl service inspect redis
              : 08ecg7vc7cbf9k57qs722n2le
              : redis
icas          : 6/6
late
tainer
age           : redis:3.0.5

 ID                      Service    Slot    Image          Desired State    Last State                Node
---                      -------    ----    -----          -------------    ----------                ----
ir8wr85lbs8sqg0ug03vr    redis      1       redis:3.0.5    RUNNING          RUNNING 3 minutes ago    node-1
8y9fevrnh77til1d09vqq    redis      2       redis:3.0.5    RUNNING          RUNNING 28 seconds ago    node-3
c8z93c884anjgpkiatnx6    redis      3       redis:3.0.5    RUNNING          RUNNING 28 seconds ago    node-2
3wnf9dex3mk6jfqp4tdjw    redis      4       redis:3.0.5    RUNNING          RUNNING 28 seconds ago    node-2
fnooz63met6yfrsk6myvg    redis      5       redis:3.0.5    RUNNING          RUNNING 28 seconds ago    node-1
awtoyk19wqhmtuiq7z9pt    redis      6       redis:3.0.5    RUNNING          RUNNING 28 seconds ago    node-3

Changing replicas from 1 to 6 forced SwarmKit to create 5 additional Tasks in order to comply with the desired state.

Every other field can be changed as well, such as image, args, env, …

Let's change the image from redis:3.0.5 to redis:3.0.6 (e.g. upgrade):

armctl service update redis --image redis:3.0.6
g7vc7cbf9k57qs722n2le

armctl service inspect redis
                 : 08ecg7vc7cbf9k57qs722n2le
                 : redis
icas             : 6/6
te Status
te               : COMPLETED
rted             : 3 minutes ago
pleted           : 1 minute ago
sage             : update completed
late
tainer
age              : redis:3.0.6

 ID                      Service    Slot    Image          Desired State    Last State              Node
---                      -------    ----    -----          -------------    ----------              ----
jss61lmwz52pke5hd107g    redis      1       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-3
94v840thk10tamfqlwztb    redis      2       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-1
j66xqpoj3cn3zjkdrwff7    redis      3       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-3
ipzvxucs3776e4z8gemey    redis      4       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-2
2lbqzk9fh4kstwpulygvu    redis      5       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-2
oy82deq7hu3q9cnucfin6    redis      6       redis:3.0.6    RUNNING          RUNNING 1 minute ago    node-1

By default, all tasks are updated at the same time.

This behavior can be changed by defining update options.

For instance, in order to update tasks 2 at a time and wait at least 10 seconds between updates:

armctl service update redis --image redis:3.0.7 --update-parallelism 2 --update-delay 10s
tch -n1 "swarmctl service inspect redis"  # watch the update

This will update 2 tasks, wait for them to become RUNNING, then wait an additional 10 seconds before moving to other tasks.

Update options can be set at service creation and updated later on. If an update command doesn't specify update options, the last set of options will be used.

Node Management

SwarmKit monitors node health. In the case of node failures, it re-schedules tasks to other nodes.

An operator can manually define the Availability of a node and can Pause and Drain nodes.

Let's put node-1 into maintenance mode:

armctl node drain node-1

armctl node ls
                       Name    Membership  Status  Availability  Manager Status
                       ----    ----------  ------  ------------  --------------
fpoi36eujbdkgdnbvbi6r  node-2  ACCEPTED    READY   ACTIVE
3tyipofoa2iwqgabsdcve  node-1  ACCEPTED    READY   DRAIN         REACHABLE *
k1uqxhnyyujq66ho0h54t  node-3  ACCEPTED    READY   ACTIVE

armctl service inspect redis
                 : 08ecg7vc7cbf9k57qs722n2le
                 : redis
icas             : 6/6
te Status
te               : COMPLETED
rted             : 2 minutes ago
pleted           : 1 minute ago
sage             : update completed
late
tainer
age              : redis:3.0.7

 ID                      Service    Slot    Image          Desired State    Last State                Node
---                      -------    ----    -----          -------------    ----------                ----
fy8dqbwmlvw5iya802tj0    redis      1       redis:3.0.7    RUNNING          RUNNING 23 seconds ago    node-2
gvidypcr7q1k3lfgohb42    redis      2       redis:3.0.7    RUNNING          RUNNING 2 minutes ago     node-3
l0chk3gtwm1100t5yeged    redis      3       redis:3.0.7    RUNNING          RUNNING 23 seconds ago    node-3
fxbg0igypstwliyameobs    redis      4       redis:3.0.7    RUNNING          RUNNING 2 minutes ago     node-3
dxnjz3c8iujdewzaplgr6    redis      5       redis:3.0.7    RUNNING          RUNNING 23 seconds ago    node-2
ciqhs4239quraw7evttyf    redis      6       redis:3.0.7    RUNNING          RUNNING 2 minutes ago     node-2

As you can see, every Task running on node-1 was rebalanced to either node-2 or node-3 by the reconciliation loop.