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.
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).
Some of SwarmKit's main features are:
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.
- 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
ANDmatch. Constraints can match node attributes in the following table. Note that
engine.labelsare collected from Docker Engine with information like operating system, drivers, etc.
node.labelsare 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.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.
- 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).
- 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).
- Go 1.6 or higher
- A working golang environment
- Protobuf 3.x or higher to regenerate protocol buffer files (e.g. using
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
Makefile can be used for common tasks.
From the project root directory, run the following to build
$ make binaries
Before running tests for the first time, setup the tooling:
$ make setup
$ make all
Setting up a Swarm
These instructions assume that
swarmctl are in your PATH.
(Before starting, make sure
/tmp/node-N don't exist)
Initialize the first node:
$ swarmd -d /tmp/node-1 --listen-control-api /tmp/node-1/swarm.sock --hostname node-1
Before joining cluster, the token should be fetched:
$ export SWARM_SOCKET=/tmp/node-1/swarm.sock $ swarmctl cluster inspect default ID : 87d2ecpg12dfonxp3g562fru1 Name : default Orchestration settings: Task history entries: 5 Dispatcher settings: Dispatcher heartbeat period: 5s Certificate Authority settings: Certificate Validity Duration: 2160h0m0s Join Tokens: Worker: SWMTKN-1-3vi7ajem0jed8guusgvyl98nfg18ibg4pclify6wzac6ucrhg3-0117z3s2ytr6egmmnlr6gd37n Manager: SWMTKN-1-3vi7ajem0jed8guusgvyl98nfg18ibg4pclify6wzac6ucrhg3-d1ohk84br3ph0njyexw0wdagx
In two additional terminals, join two nodes (note: 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
$ swarmd -d /tmp/node-2 --hostname node-2 --join-addr 127.0.0.1:4242 --join-token <Worker Token> $ swarmd -d /tmp/node-3 --hostname node-3 --join-addr 127.0.0.1:4242 --join-token <Worker Token>
In a fourth terminal, use
swarmctl to explore and control the cluster. Before
swarmctl, set the
SWARM_SOCKET environment variable to the path of the
manager socket that was specified in
--listen-control-api when starting the
To list nodes:
$ export SWARM_SOCKET=/tmp/node-1/swarm.sock $ swarmctl node ls ID Name Membership Status Availability Manager Status -- ---- ---------- ------ ------------ -------------- 3x12fpoi36eujbdkgdnbvbi6r node-2 ACCEPTED READY ACTIVE 4spl3tyipofoa2iwqgabsdcve node-1 ACCEPTED READY ACTIVE REACHABLE * dknwk1uqxhnyyujq66ho0h54t node-3 ACCEPTED READY ACTIVE
Start a redis service:
$ swarmctl service create --name redis --image redis:3.0.5 08ecg7vc7cbf9k57qs722n2le
List the running services:
$ swarmctl service ls ID Name Image Replicas -- ---- ----- -------- 08ecg7vc7cbf9k57qs722n2le redis redis:3.0.5 1/1
Inspect the service:
$ swarmctl service inspect redis ID : 08ecg7vc7cbf9k57qs722n2le Name : redis Replicas : 1/1 Template Container Image : redis:3.0.5 Task ID Service Slot Image Desired State Last State Node ------- ------- ---- ----- ------------- ---------- ---- 0xk1ir8wr85lbs8sqg0ug03vr redis 1 redis:3.0.5 RUNNING RUNNING 1 minutes ago node-1
You can update any attribute of a service.
For example, you can scale the service by changing the instance count:
$ swarmctl service update redis --replicas 6 08ecg7vc7cbf9k57qs722n2le $ swarmctl service inspect redis ID : 08ecg7vc7cbf9k57qs722n2le Name : redis Replicas : 6/6 Template Container Image : redis:3.0.5 Task ID Service Slot Image Desired State Last State Node ------- ------- ---- ----- ------------- ---------- ---- 0xk1ir8wr85lbs8sqg0ug03vr redis 1 redis:3.0.5 RUNNING RUNNING 3 minutes ago node-1 25m48y9fevrnh77til1d09vqq redis 2 redis:3.0.5 RUNNING RUNNING 28 seconds ago node-3 42vwc8z93c884anjgpkiatnx6 redis 3 redis:3.0.5 RUNNING RUNNING 28 seconds ago node-2 d41f3wnf9dex3mk6jfqp4tdjw redis 4 redis:3.0.5 RUNNING RUNNING 28 seconds ago node-2 66lefnooz63met6yfrsk6myvg redis 5 redis:3.0.5 RUNNING RUNNING 28 seconds ago node-1 3a2sawtoyk19wqhmtuiq7z9pt 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):
$ swarmctl service update redis --image redis:3.0.6 08ecg7vc7cbf9k57qs722n2le $ swarmctl service inspect redis ID : 08ecg7vc7cbf9k57qs722n2le Name : redis Replicas : 6/6 Update Status State : COMPLETED Started : 3 minutes ago Completed : 1 minute ago Message : update completed Template Container Image : redis:3.0.6 Task ID Service Slot Image Desired State Last State Node ------- ------- ---- ----- ------------- ---------- ---- 0udsjss61lmwz52pke5hd107g redis 1 redis:3.0.6 RUNNING RUNNING 1 minute ago node-3 b8o394v840thk10tamfqlwztb redis 2 redis:3.0.6 RUNNING RUNNING 1 minute ago node-1 efw7j66xqpoj3cn3zjkdrwff7 redis 3 redis:3.0.6 RUNNING RUNNING 1 minute ago node-3 8ajeipzvxucs3776e4z8gemey redis 4 redis:3.0.6 RUNNING RUNNING 1 minute ago node-2 f05f2lbqzk9fh4kstwpulygvu redis 5 redis:3.0.6 RUNNING RUNNING 1 minute ago node-2 7sbpoy82deq7hu3q9cnucfin6 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:
$ swarmctl service update redis --image redis:3.0.7 --update-parallelism 2 --update-delay 10s $ watch -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.
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.
node-1 into maintenance mode:
$ swarmctl node drain node-1 $ swarmctl node ls ID Name Membership Status Availability Manager Status -- ---- ---------- ------ ------------ -------------- 3x12fpoi36eujbdkgdnbvbi6r node-2 ACCEPTED READY ACTIVE 4spl3tyipofoa2iwqgabsdcve node-1 ACCEPTED READY DRAIN REACHABLE * dknwk1uqxhnyyujq66ho0h54t node-3 ACCEPTED READY ACTIVE $ swarmctl service inspect redis ID : 08ecg7vc7cbf9k57qs722n2le Name : redis Replicas : 6/6 Update Status State : COMPLETED Started : 2 minutes ago Completed : 1 minute ago Message : update completed Template Container Image : redis:3.0.7 Task ID Service Slot Image Desired State Last State Node ------- ------- ---- ----- ------------- ---------- ---- 8uy2fy8dqbwmlvw5iya802tj0 redis 1 redis:3.0.7 RUNNING RUNNING 23 seconds ago node-2 7h9lgvidypcr7q1k3lfgohb42 redis 2 redis:3.0.7 RUNNING RUNNING 2 minutes ago node-3 ae4dl0chk3gtwm1100t5yeged redis 3 redis:3.0.7 RUNNING RUNNING 23 seconds ago node-3 9fz7fxbg0igypstwliyameobs redis 4 redis:3.0.7 RUNNING RUNNING 2 minutes ago node-3 drzndxnjz3c8iujdewzaplgr6 redis 5 redis:3.0.7 RUNNING RUNNING 23 seconds ago node-2 7rcgciqhs4239quraw7evttyf 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-3 by the reconciliation loop.