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Everything You Thought
You Already Knew About
Orchestration
Laura Frank
Director of Engineering,
Codeship
Managing Distributed State with Raft
Quorum 101
Leader Election
Log Replication
Service Scheduling
Failure Recovery
Agenda
bonus debugging tips!
They’re trying to get a collection of nodes to behave
like a single node.
• How does the system maintain state?
• How does work get scheduled?
The Big Problem(s)
What are tools like Swarm and Kubernetes trying to do?
Manager
leader
WorkerWorker
Manager
follower
Manager
follower
WorkerWorker Worker
raft consensus group
So You Think You
Have Quorum
Quorum
The minimum number of votes that a consensus
group needs in order to be allowed to perform
an operation.
Without quorum, your system can’t do work.
Math! Managers Quorum Fault Tolerance
1 1 0
2 2 0
3 2 1
4 3 1
5 3 2
6 4 2
7 4 3
(N/2) + 1
In simpler terms, it
means a majority
Math! Managers Quorum Fault Tolerance
1 1 0
2 2 0
3 2 1
4 3 1
5 3 2
6 4 2
7 4 3
(N/2) + 1
In simpler terms, it
means a majority
Having two managers instead of
one actually doubles your
chances of losing quorum.
Pay attention to datacenter topology when placing
managers.
Quorum With Multiple Regions
Manager Nodes Distribution across 3 Regions
3 1-1-1
5 1-2-2
7 3-2-2
9 3-3-3
magically works with
Docker for AWS
Let’s talk about Raft!
I think I’ll just write my
own distributed
consensus algorithm.
-no sensible person
Log replication
Leader election
Safety (won’t talk about this much today)
Raft is responsible for…
Being easier to understand
Orchestration systems typically use a key/value
store backed by a consensus algorithm
In a lot of cases, that algorithm is Raft!
Raft is used everywhere…
…that etcd is used
SwarmKit implements the
Raft algorithm directly.
In most cases, you don’t want to run
work on your manager nodes
docker node update --availability drain <NODE>
Participating in a Raft consensus group is work, too.
Make your manager nodes unavailable for tasks:
*I will run work on managers for educational purposes
Leader Election &
Log Replication
Manager
leader
Manager
candidate
Manager
follower
Manager
offline
demo.consensus.group
The log is the source of truth for
your application.
In the context of distributed computing (and this
talk), a log is an append-only, time-based record
of data.
2 10 30 25 5 12first entry append entry here!
This log is for computers, not humans.
2 10 30 25 5 12
Server
12
Client
12
In simple systems, the log is pretty straightforward.
In a manager group, that log entry can only “become
truth” once it is confirmed from the majority of
followers (quorum!)
Client
12
Manager
follower
Manager
follower
Manager
leader
demo.consensus.group
In distributed computing, it’s essential that you
understand log replication.
bit.ly/logging-post
Debugging Tip
Watch the Raft logs.
Monitor via inotifywait OR
just read them directly!
Scheduling
HA application
problems
scheduling
problems
orchestrator problems
Scheduling constraints
Restrict services to specific nodes, such as specific
architectures, security levels, or types
docker service create 
--constraint 'node.labels.type==web' my-app
New in 17.04.0-ce
Topology-aware scheduling!!1!
Implements a spread strategy over nodes that belong to a
certain category.
Unlike --constraint, this is a “soft” preference
—placement-pref ‘spread=node.labels.dc’
Swarm will not rebalance
healthy tasks when a new
node comes online
Debugging Tip
Add a manager to your
Swarm running with
--availability drain
and in Engine debug mode
Failure Recovery
Losing quorum
• Bring the downed nodes back online (derp)
Regain quorum
• On a healthy manager, run 

docker swarm init --force-new-cluster
This will create a new cluster with one healthy manager
• You need to promote new managers
The datacenter is
on fire
• Bring up a new manager and stop Docker
• sudo rm -rf /var/lib/docker/swarm
• Copy backup to /var/lib/docker/swarm
• Start Docker
• docker swarm init (--force-new-cluster)
Restore from a backup in 5 easy steps!
• In general, users shouldn’t be allowed to modify IP
addresses of nodes
• Restoring from a backup == old IP address for node1
• Workaround is to use elastic IPs with ability to reassign
But wait, there’s a bug… or a feature
Thank You!
@docker
#dockercon

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