Give demo agents unique names to improve `nomad node status` output. Since the agents default to the hostname, they all had the same name whether using the root or demo Vagrantfiles.
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layout | page_title | sidebar_current | description |
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intro | Clustering | getting-started-cluster | Join another Nomad client to create your first cluster. |
Clustering
We have started our first agent and run a job against it in development mode. This demonstrates the ease of use and the workflow of Nomad, but did not show how this could be extended to a scalable, production-grade configuration. In this step, we will create our first real cluster with multiple nodes.
Starting the Server
The first step is to create the config file for the server. Either download the
file from the repository, or paste this into a file called
server.hcl
:
# Increase log verbosity
log_level = "DEBUG"
# Setup data dir
data_dir = "/tmp/server1"
# Enable the server
server {
enabled = true
# Self-elect, should be 3 or 5 for production
bootstrap_expect = 1
}
This is a fairly minimal server configuration file, but it
is enough to start an agent in server only mode and have it
elected as a leader. The major change that should be made for
production is to run more than one server, and to change the
corresponding bootstrap_expect
value.
Once the file is created, start the agent in a new tab:
$ nomad agent -config server.hcl
==> WARNING: Bootstrap mode enabled! Potentially unsafe operation.
==> Starting Nomad agent...
==> Nomad agent configuration:
Client: false
Log Level: DEBUG
Region: global (DC: dc1)
Server: true
Version: 0.7.0
==> Nomad agent started! Log data will stream in below:
[INFO] serf: EventMemberJoin: nomad.global 127.0.0.1
[INFO] nomad: starting 4 scheduling worker(s) for [service batch _core]
[INFO] raft: Node at 127.0.0.1:4647 [Follower] entering Follower state
[INFO] nomad: adding server nomad.global (Addr: 127.0.0.1:4647) (DC: dc1)
[WARN] raft: Heartbeat timeout reached, starting election
[INFO] raft: Node at 127.0.0.1:4647 [Candidate] entering Candidate state
[DEBUG] raft: Votes needed: 1
[DEBUG] raft: Vote granted. Tally: 1
[INFO] raft: Election won. Tally: 1
[INFO] raft: Node at 127.0.0.1:4647 [Leader] entering Leader state
[INFO] nomad: cluster leadership acquired
[INFO] raft: Disabling EnableSingleNode (bootstrap)
[DEBUG] raft: Node 127.0.0.1:4647 updated peer set (2): [127.0.0.1:4647]
We can see above that client mode is disabled, and that we are only running as the server. This means that this server will manage state and make scheduling decisions but will not run any tasks. Now we need some agents to run tasks!
Starting the Clients
Similar to the server, we must first configure the clients. Either download
the configuration for client1
and client2
from the
repository here, or
paste the following into client1.hcl
:
# Increase log verbosity
log_level = "DEBUG"
# Setup data dir
data_dir = "/tmp/client1"
# Give the agent a unique name. Defaults to hostname
name = "client1"
# Enable the client
client {
enabled = true
# For demo assume we are talking to server1. For production,
# this should be like "nomad.service.consul:4647" and a system
# like Consul used for service discovery.
servers = ["127.0.0.1:4647"]
}
# Modify our port to avoid a collision with server1
ports {
http = 5656
}
Copy that file to client2.hcl
. Change the data_dir
to be /tmp/client2
,
the name
to client2
, and the http
port to 5657. Once you have created
both client1.hcl
and client2.hcl
, open a tab for each and start the agents:
$ sudo nomad agent -config client1.hcl
==> Starting Nomad agent...
==> Nomad agent configuration:
Client: true
Log Level: DEBUG
Region: global (DC: dc1)
Server: false
Version: 0.7.0
==> Nomad agent started! Log data will stream in below:
[DEBUG] client: applied fingerprints [host memory storage arch cpu]
[DEBUG] client: available drivers [docker exec]
[DEBUG] client: node registration complete
...
In the output we can see the agent is running in client mode only. This agent will be available to run tasks but will not participate in managing the cluster or making scheduling decisions.
Using the node status
command
we should see both nodes in the ready
state:
$ nomad node status
ID Datacenter Name Class Drain Status
fca62612 dc1 client1 <none> false ready
c887deef dc1 client2 <none> false ready
We now have a simple three node cluster running. The only difference between a demo and full production cluster is that we are running a single server instead of three or five.
Submit a Job
Now that we have a simple cluster, we can use it to schedule a job.
We should still have the example.nomad
job file from before, but
verify that the count
is still set to 3.
Then, use the job run
command to submit the job:
$ nomad job run example.nomad
==> Monitoring evaluation "8e0a7cf9"
Evaluation triggered by job "example"
Evaluation within deployment: "0917b771"
Allocation "501154ac" created: node "c887deef", group "cache"
Allocation "7e2b3900" created: node "fca62612", group "cache"
Allocation "9c66fcaf" created: node "c887deef", group "cache"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "8e0a7cf9" finished with status "complete"
We can see in the output that the scheduler assigned two of the tasks for one of the client nodes and the remaining task to the second client.
We can again use the status
command to verify:
$ nomad status example
ID = example
Name = example
Submit Date = 07/26/17 16:34:58 UTC
Type = service
Priority = 50
Datacenters = dc1
Status = running
Periodic = false
Parameterized = false
Summary
Task Group Queued Starting Running Failed Complete Lost
cache 0 0 3 0 0 0
Latest Deployment
ID = fc49bd6c
Status = running
Description = Deployment is running
Deployed
Task Group Desired Placed Healthy Unhealthy
cache 3 3 0 0
Allocations
ID Eval ID Node ID Task Group Desired Status Created At
501154ac 8e0a7cf9 c887deef cache run running 08/08/16 21:03:19 CDT
7e2b3900 8e0a7cf9 fca62612 cache run running 08/08/16 21:03:19 CDT
9c66fcaf 8e0a7cf9 c887deef cache run running 08/08/16 21:03:19 CDT
We can see that all our tasks have been allocated and are running.
Once we are satisfied that our job is happily running, we can tear
it down with nomad job stop
.
Next Steps
Nomad is now up and running. The cluster can be entirely managed from the commandline, but Nomad also comes with a web interface that is hosted alongside the HTTP API. Next, we'll visit the UI in the browser.