A transparent service discovery framework for connecting an SOA
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Synapse is Airbnb's new system for service discovery. Synapse solves the problem of automated fail-over in the cloud, where failover via network re-configuration is impossible. The end result is the ability to connect internal services together in a scalable, fault-tolerant way.


Synapse emerged from the need to maintain high-availability applications in the cloud. Traditional high-availability techniques, which involve using a CRM like pacemaker, do not work in environments where the end-user has no control over the networking. In an environment like Amazon's EC2, all of the available workarounds are suboptimal:

  • Round-robin DNS: Slow to converge, and doesn't work when applications cache DNS lookups (which is frequent)
  • Elastic IPs: slow to converge, limited in number, public-facing-only, which makes them less useful for internal services
  • ELB: ultimately uses DNS (see above), can't tune load balancing, have to launch a new one for every service * region, autoscaling doesn't happen fast enough

One solution to this problem is a discovery service, like Apache Zookeeper. However, Zookeeper and similar services have their own problems:

  • Service discovery is embedded in all of your apps; often, integration is not simple
  • The discovery layer itself is subject to failure
  • Requires additional servers/instances

Synapse solves these difficulties in a simple and fault-tolerant way.

How Synapse Works

Synapse runs on your application servers; here at Airbnb, we just run it on every box we deploy. The heart of synapse is actually HAProxy, a stable and proven routing component. For every external service that your application talks to, we assign a synapse local port on localhost. Synapse creates a proxy from the local port to the service, and you reconfigure your application to talk to the proxy.

Synapse comes with a number of watchers, which are responsible for service discovery. The synapse watchers take care of re-configuring the proxy so that it always points at available servers. We've included a number of default watchers, including ones that query zookeeper and ones using the AWS API. It is easy to write your own watchers for your use case, and we encourage submitting them back to the project.

Example Migration

Let's suppose your rails application depends on a Postgres database instance. The database.yaml file has the DB host and port hardcoded:

  database: mydb
  host: mydb.example.com
  port: 5432

You would like to be able to fail over to a different database in case the original dies. Let's suppose your instance is running in AWS and you're using the tag 'proddb' set to 'true' to indicate the prod DB. You set up synapse to proxy the DB connection on localhost:3219 in the synapse.conf.yaml file. Add a hash under services that looks like this:

     name: "default-db"
     host: "mydb.example.com"
     port: 5432
    method: "awstag"
    tag_name: "proddb"
    tag_value: "true"
    port: 3219
    server_options: "check inter 2000 rise 3 fall 2"
    frontend: mode tcp
    backend: mode tcp

And then change your database.yaml file to look like this:

  database: mydb
  host: localhost
  port: 3219

Start up synapse. It will configure HAProxy with a proxy from localhost:3219 to your DB. It will attempt to find the DB using the AWS API; if that does not work, it will default to the DB given in default_servers. In the worst case, if AWS API is down and you need to change which DB your application talks to, simply edit the synapse.conf.json file, update the default_servers and restart synapse. HAProxy will be transparently reloaded, and your application will keep running without a hiccup.


To download and run the synapse binary, first install a version of ruby. Then, install synapse with:

$ mkdir -p /opt/smartstack/synapse

# If you want to install specific versions of dependencies such as an older
# version of the aws-sdk, the docker-api, etc, gem install that here *before*
# gem installing synapse

# If you are on Ruby 2.X use --no-document instead of --no-ri --no-rdoc
$ gem install synapse --install-dir /opt/smartstack/synapse --no-ri --no-rdoc

This will download synapse and its dependencies into /opt/smartstack/synapse. You might wish to omit the --install-dir flag to use your system's default gem path, however this will require you to run gem install synapse with root permissions.

You can now run the synapse binary like:

export GEM_PATH=/opt/smartstack/synapse
/opt/smartstack/synapse/bin/synapse --help

Don't forget to install HAProxy too.


Synapse depends on a single config file in JSON format; it's usually called synapse.conf.json. The file has three main sections.

  1. services: lists the services you'd like to connect.
  2. haproxy: specifies how to configure and interact with HAProxy.
  3. file_output (optional): specifies where to write service state to on the filesystem.

Configuring a Service

The services section is a hash, where the keys are the name of the service to be configured. The name is just a human-readable string; it will be used in logs and notifications. Each value in the services hash is also a hash, and should contain the following keys:

  • discovery: how synapse will discover hosts providing this service (see below)
  • default_servers: the list of default servers providing this service; synapse uses these if no others can be discovered
  • haproxy: how will the haproxy section for this service be configured

Service Discovery

We've included a number of watchers which provide service discovery. Put these into the discovery section of the service hash, with these options:


The base watcher is useful in situations where you only want to use the servers in the default_servers list. It has the following options:

  • method: base
  • label_filters: optional list of filters to be applied to discovered service nodes
Filtering service nodes

Synapse can be configured to only return service nodes that match a label_filters predicate. If provided, label_filters should be an array of hashes which contain the following:

  • label: The name of the label for which the filter is applied
  • value: The comparison value
  • condition (one of ['equals', 'not-equals']): The type of filter condition to be applied.

Given a label_filters: [{ "label": "cluster", "value": "dev", "condition": "equals" }], this will return only service nodes that contain the label value { "cluster": "dev" }.


This watcher retrieves a list of servers from zookeeper. It takes the following mandatory arguments:

  • method: zookeeper
  • path: the zookeeper path where ephemeral nodes will be created for each available service server
  • hosts: the list of zookeeper servers to query

The watcher assumes that each node under path represents a service server.

The following arguments are optional:

  • decode: A hash containing configuration for how to decode the data found in zookeeper.
Decoding service nodes

Synapse attempts to decode the data in each of these nodes using JSON and you can control how it is decoded with the decode argument. If provided, the decode hash should contain the following:

  • method (one of ['nerve', 'serverset'], default: 'nerve'): The kind of data to expect to find in zookeeper nodes
  • endpoint_name (default: nil): If using the serverset method, this controls which of the additionalEndpoints is chosen instead of the serviceEndpoint data. If not supplied the serverset method will use the host/port from the serviceEndpoint data.

If the method is nerve, then we expect to find nerve registrations with a host and a port. Any additional metadata for the service node provided in the hash labels will be parsed. This information is used by label_filter configuration.

If the method is serverset then we expect to find Finagle ServerSet (also used by Aurora) registrations with a serviceEndpoint and optionally one or more additionalEndpoints. The Synapse name will be automatically deduced from shard if present.


This watcher retrieves a list of docker containers via docker's HTTP API. It takes the following options:

  • method: docker
  • servers: a list of servers running docker as a daemon. Format is {"name":"...", "host": "..."[, port: 4243]}
  • image_name: find containers running this image
  • container_port: find containers forwarding this port
  • check_interval: how often to poll the docker API on each server. Default is 15s.
AWS EC2 tags

This watcher retrieves a list of Amazon EC2 instances that have a tag with particular value using the AWS API. It takes the following options:

  • method: ec2tag
  • tag_name: the name of the tag to inspect. As per the AWS docs, this is case-sensitive.
  • tag_value: the value to match on. Case-sensitive.

Additionally, you MUST supply server_port_override in the haproxy section of the configuration as this watcher does not know which port the backend service is listening on.

The following options are optional, provided the well-known AWS_ environment variables shown are set. If supplied, these options will be used in preference to the AWS_ environment variables.

  • aws_access_key_id: AWS key or set AWS_ACCESS_KEY_ID in the environment.
  • aws_secret_access_key: AWS secret key or set AWS_SECRET_ACCESS_KEY in the environment.
  • aws_region: AWS region (i.e. us-east-1) or set AWS_REGION in the environment.

This watcher polls the Marathon API and retrieves a list of instances for a given application.

It takes the following options:

  • marathon_api_url: Address of the marathon API (e.g. http://marathon-master:8080)
  • application_name: Name of the application in Marathon
  • check_interval: How often to request the list of tasks from Marathon (default: 10 seconds)
  • port_index: Index of the backend port in the task's "ports" array. (default: 0)

Listing Default Servers

You may list a number of default servers providing a service. Each hash in that section has the following options:

  • name: a human-readable name for the default server; must be unique
  • host: the host or IP address of the server
  • port: the port where the service runs on the host

The default_servers list is used only when service discovery returns no servers. In that case, the service proxy will be created with the servers listed here. If you do not list any default servers, no proxy will be created. The default_servers will also be used in addition to discovered servers if the keep_default_servers option is set.

If you do not list any default_servers, and all backends for a service disappear then the previous known backends will be used. Disable this behavior by unsetting use_previous_backends.

The haproxy Section

This section is its own hash, which should contain the following keys:

  • port: the port (on localhost) where HAProxy will listen for connections to the service. If this is omitted, only a backend stanza (and no frontend stanza) will be generated for this service; you'll need to get traffic to your service yourself via the shared_frontend or manual frontends in extra_sections
  • bind_address: force HAProxy to listen on this address ( default is localhost ). Setting bind_address on a per service basis overrides the global bind_address in the top level haproxy. Having HAProxy listen for connections on different addresses ( example: service1 listen on and service2 listen on allows /etc/hosts entries to point to services.
  • bind_options: optional: default value is an empty string, specify additional bind parameters, such as ssl accept-proxy, crt, ciphers etc.
  • server_port_override: the port that discovered servers listen on; you should specify this if your discovery mechanism only discovers names or addresses (like the DNS watcher). If the discovery method discovers a port along with hostnames (like the zookeeper watcher) this option may be left out, but will be used in preference if given.
  • server_options: the haproxy options for each server line of the service in HAProxy config; it may be left out.
  • frontend: additional lines passed to the HAProxy config in the frontend stanza of this service
  • backend: additional lines passed to the HAProxy config in the backend stanza of this service
  • backend_name: The name of the generated HAProxy backend for this service (defaults to the service's key in the services section)
  • listen: these lines will be parsed and placed in the correct frontend/backend section as applicable; you can put lines which are the same for the frontend and backend here.
  • backend_order: optional: how backends should be ordered in the backend stanza. (default is shuffling). Setting to asc means sorting backends in ascending alphabetical order before generating stanza. desc means descending alphabetical order. no_shuffle means no shuffling or sorting.
  • shared_frontend: optional: haproxy configuration directives for a shared http frontend (see below)
  • cookie_value_method: optional: default value is name, it defines the way your backends receive a cookie value in http mode. If equal to hash, synapse hashes backend names on cookie value assignation of your discovered backends, useful when you want to use haproxy cookie feature but you do not want that your end users receive a Set-Cookie with your server name and ip readable in clear.

Configuring HAProxy

The top level haproxy section of the config file has the following options:

  • reload_command: the command Synapse will run to reload HAProxy
  • config_file_path: where Synapse will write the HAProxy config file
  • do_writes: whether or not the config file will be written (default to true)
  • do_reloads: whether or not Synapse will reload HAProxy (default to true)
  • do_socket: whether or not Synapse will use the HAProxy socket commands to prevent reloads (default to true)
  • socket_file_path: where to find the haproxy stats socket. can be a list (if using nbproc)
  • global: options listed here will be written into the global section of the HAProxy config
  • defaults: options listed here will be written into the defaults section of the HAProxy config
  • extra_sections: additional, manually-configured frontend, backend, or listen stanzas
  • bind_address: force HAProxy to listen on this address (default is localhost)
  • shared_frontend: (OPTIONAL) additional lines passed to the HAProxy config used to configure a shared HTTP frontend (see below)
  • restart_interval: number of seconds to wait between restarts of haproxy (default: 2)
  • restart_jitter: percentage, expressed as a float, of jitter to multiply the restart_interval by when determining the next restart time. Use this to help prevent healthcheck storms when HAProxy restarts. (default: 0.0)
  • state_file_path: full path on disk (e.g. /tmp/synapse/state.json) for caching haproxy state between reloads. If provided, synapse will store recently seen backends at this location and can "remember" backends across both synapse and HAProxy restarts. Any backends that are "down" in the reporter but listed in the cache will be put into HAProxy disabled. Synapse writes the state file every sixty seconds, so the file's age can be used to monitor that Synapse is alive and making progress. (default: nil)
  • state_file_ttl: the number of seconds that backends should be kept in the state file cache. This only applies if state_file_path is provided. (default: 86400)

Note that a non-default bind_address can be dangerous. If you configure an address:port combination that is already in use on the system, haproxy will fail to start.

Configuring file_output

This section controls whether or not synapse will write out service state to the filesystem in json format. This can be used for services that want to use discovery information but not go through HAProxy.

  • output_directory: the path to a directory on disk that service registrations should be written to.

HAProxy shared HTTP Frontend

For HTTP-only services, it is not always necessary or desirable to dedicate a TCP port per service, since HAProxy can route traffic based on host headers. To support this, the optional shared_frontend section can be added to both the haproxy section and each indvidual service definition. Synapse will concatenate them all into a single frontend section in the generated haproxy.cfg file. Note that synapse does not assemble the routing ACLs for you; you have to do that yourself based on your needs. This is probably most useful in combination with the service_conf_dir directive in a case where the individual service config files are being distributed by a configuration manager such as puppet or chef, or bundled into service packages. For example:

   - "bind"
  reload_command: "service haproxy reload"
  config_file_path: "/etc/haproxy/haproxy.cfg"
    - /var/run/haproxy.sock
    - /var/run/haproxy2.sock
   - "daemon"
   - "user    haproxy"
   - "group   haproxy"
   - "maxconn 4096"
   - "log local2 notice"
   - "stats   socket /var/run/haproxy.sock"
   - "log      global"
   - "balance  roundrobin"
    method: "zookeeper"
    path:  "/nerve/services/service1"
     - "0.zookeeper.example.com:2181"
    server_options: "check inter 2s rise 3 fall 2"
     - "acl is_service1 hdr_dom(host) -i service1.lb.example.com"
     - "use_backend service1 if is_service1"
    backend: "mode http"

    method: "zookeeper"
    path:  "/nerve/services/service2"
    hosts: "0.zookeeper.example.com:2181"

    server_options: "check inter 2s rise 3 fall 2"
     - "acl is_service1 hdr_dom(host) -i service2.lb.example.com"
     - "use_backend service2 if is_service2"
     - "mode http"

This would produce an haproxy.cfg much like the following:

backend service1
        mode http
        server server1.example.net:80 server1.example.net:80 check inter 2s rise 3 fall 2

backend service2
        mode http
        server server2.example.net:80 server2.example.net:80 check inter 2s rise 3 fall 2

frontend shared-frontend
        acl is_service1 hdr_dom(host) -i service1.lb
        use_backend service1 if is_service1
        acl is_service2 hdr_dom(host) -i service2.lb
        use_backend service2 if is_service2

Non-HTTP backends such as MySQL or RabbitMQ will obviously continue to need their own dedicated ports.


  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Creating a Service Watcher

See the Service Watcher README for how to add new Service Watchers.