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Version: 0.5.0-rc0

Cluster

Jellyfish comes with a built-in clustering mechanism. By a cluster, we mean a set of connected Jellyfish instances. Whenever a new request for creating a room is sent to one of Jellyfishes in a cluster, this Jellyfish communicates with all other nodes and creates a room on the node with the lowest load. In response, a Jellyfish address (specified with JF_HOST environment variable) where the room was created is returned.

info

Even when running a cluster of Jellyfishes, a room still has to fit into one Jellyfish. Currently, Jellyfish doesn't offer an option to split a room across multiple machines.

Security

Jellyfish distribution is not encrypted meaning that data between Jellyfishes is sent as plain text. Cookie does not provide any cryptographic security. Do run a cluster only across machines in the same network!

Distribution Environment Variables

List of all cluster-related environment variables is available here.

Extra network Configuration

Jellyfish leverages Erlang Distribution to form a cluster. This means that we don't need to use any database where we would store information about network topology. Instead, some extra network configuration might be needed.

  • Jellyfish in distributed mode uses a service called EPMD (Erlang Port Mapper Deamon) that runs on port 4369 (TCP). If you run Jellyfish using Docker, you have to explicitly export this port. In production deployment, you also have to allow for traffic on this port in your firewall. EPMD is started automatically when running Jellyfish, so you don't need to take any extra steps to make it work.

  • Jellyfish uses a random port for connecting to other Jellyfishes. If you run Jellyfish using Docker, this port defaults to 9000 (TCP) but you can configure the range it is selected from with JF_DIST_MIN_PORT and JF_DIST_MAX_PORT. Note that JF_DIST_MIN_PORT and JF_DIST_MAX_PORT are not available when running from source (using mix phx.server) as in development you don't have to worry about the port used for forming a cluster. As in the case of EPMD, in production deployment, you have to modify your firewall rules appropriately.

See Deeper dive into Erlang Distribution for more information.

Strategies

Currently, Jellyfish supports two clustering strategies: NODES_LIST and DNS, but other strategies might be added in the future.

  • NODES_LIST - form a cluster basing on a list of Jellyfish addresses
  • DNS - regularly query DNS to discover other Jellyfishes

Regardless of the strategy, Erlang Distribution is transitive. When node A connects to node B, it also connects to all other nodes that node B is connected to.

NODES_LIST

To form a cluster using NODES_LIST strategy:

  1. Enable distribution mode with JF_DIST_ENABLED=true
  2. Give your node a name with JF_DIST_NODE_NAME
  3. Specify a list of nodes to connect to with JF_DIST_NODES

Running from source

Run the first Jellyfish:

JF_DIST_ENABLED=true JF_DIST_NODE_NAME=j1@localhost mix phx.server

Run the second Jellyfish

JF_DIST_ENABLED=true JF_DIST_NODE_NAME=j2@localhost JF_DIST_NODES="j1@localhost" JF_PORT=4002 JF_METRICS_PORT=9468 mix phx.server
info

Note that when running the second Jellyfish, we had to change its HTTP and metrics ports.

Running with Docker (locally)

This simple docker compose file sets a cluster of two Jellyfishes.

version: "3"

x-jellyfish-template: &jellyfish-template
build: .
environment: &jellyfish-environment
JF_SERVER_API_TOKEN: "development"
JF_DIST_ENABLED: "true"
JF_DIST_NODES: "j1@jellyfish1 j2@jellyfish2"
restart: on-failure

services:
jellyfish1:
<<: *jellyfish-template
environment:
<<: *jellyfish-environment
JF_HOST: "localhost:5001"
JF_PORT: 5001
JF_METRICS_PORT: 6001
JF_DIST_NODE_NAME: j1@jellyfish1
ports:
- 5001:5001
- 6001:6001

jellyfish2:
<<: *jellyfish-template
environment:
<<: *jellyfish-environment
JF_HOST: "localhost:5002"
JF_PORT: 5002
JF_METRICS_PORT: 6002
JF_DIST_NODE_NAME: j2@jellyfish2
ports:
- 5002:5002
- 6002:6002

Because we run Jellyfishes in the same Docker network:

  • we can use JF_DIST_NODE: "sname", which allows us to reference Jellyfishes using their service names so jellyfish1 and jellyfish2
  • we don't need to export EPMD (4369) or distribution (9000) ports

Running with Docker (globally)

When forming a cluster across multiple machines:

  • you have to take care of Extra Network Configuration
  • you also can't use JF_DIST_MODE="sname" as you have to name Jellyfish nodes using their publicly available IP address or domain names (see JF_DIST_NODE_NAME and JF_DIST_MODE)
  • you can't simulate this setup locally as you won't be able to expose two EMPD ports on the same machine. See Deeper dive into Erlang Distribution for more information.

See our Jellyfish Videoroom deployment configuration for an example.

DNS

To form a cluster using DNS strategy:

  1. Enable distribution mode with JF_DIST_ENABLED=true
  2. Chose DNS strategy with JF_DIST_STRATEGY_NAME.
  3. Set JF_DIST_MODE to name.
  4. Give your node a name with JF_DIST_NODE_NAME.
    Important It has to be in the form of <nodename>@<hostname> where all Jellyfishes MUST have the same <nodename>.
  5. Specify a query under which Jellyfishes are register in DNS with JF_DIST_QUERY.
    Important Jellyfish does not register itself in DNS. It is user responsibility to enusre that your Jellyfish is registered in DNS under JF_DIST_QUERY.

Running with Docker

This simple docker compose file sets a cluster of two Jellyfishes using internal Docker DNS.

version: "3"
x-jellyfish-template: &jellyfish-template
build: .
environment: &jellyfish-environment
JF_SERVER_API_TOKEN: "development"
JF_DIST_ENABLED: "true"
JF_DIST_STRATEGY_NAME: "DNS"
JF_DIST_MODE: "name"
restart: on-failure
services:
app1:
<<: *jellyfish-template
environment:
<<: *jellyfish-environment
JF_HOST: "localhost:4001"
JF_PORT: 4001
JF_DIST_QUERY: app.dns-network
ports:
- 4001:4001
networks:
default:
aliases:
- app.dns-network

app2:
<<: *jellyfish-template
environment:
<<: *jellyfish-environment
JF_HOST: "localhost:4002"
JF_PORT: 4002
JF_DIST_QUERY: app.dns-network
ports:
- 4002:4002
networks:
default:
aliases:
- app.dns-network

Because we run Jellyfishes in the same Docker network we don't need to export EPMD (4369) or distribution (9000) ports. We also didn't have to explicitly set JF_DIST_NODE_NAME. The default value (jellyfish@(hostname)) is automatically resolved to jellyfish@<ip_address> and is routable from other nodes in the docker network.

Verifying that a cluster has been created

When a cluster is created correctly you will see a log indicating that one of your Jellyfishes connected to the other one, e.g.:

[info] [libcluster:epmd_cluster] connected to :"j1@127.0.0.1"

To see clustering in action, create two rooms using the same Jellyfish address and observe how they are load balanced:

curl -X POST -H "authorization: Bearer development" http://localhost:4002/room
# {"data":{"jellyfish_address":"localhost:4001"}}
curl -X POST -H "authorization: Bearer development" http://localhost:4002/room
# {"data":{"jellyfish_address":"localhost:4002"}}

Load balancing can also be tested using Jellyfish Dashboard. See here for more information.

Deeper dive into Erlang Distribution

The most tricky thing when running Jellyfish in a cluster is to understand the role of EPMD. EPMD is responsible for mapping node names to ports they use. Node names consist of two parts nodename@hostname. hostname identifies a host machine, and nodename identifies a node on this machine. When node A wants to connect to node B, it uses node's B name to ask EPMD (running on node B) for the actual port node B is accessible on.

Example

  1. Let's assume that node's B name is nodeb@192.168.1.2.
  2. Node A will contact EPMD using 192.168.1.2 IP address and port 4369, and ask for the port number used by a node with the name nodeb.
  3. After that, node A can contact node B using 192.168.1.2 IP address and port returned by EPMD.

A couple of notes about EPMD:

  • it always uses port 4369 (TCP)
  • it is started automatically when running Jellyfish
  • there is one EPMD per machine or one EPMD per docker container - that's why we can't simulate Global Docker setup locally

You can read more about Erlang Distribution here.