Awesome
Synapse
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.
Motivation
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 typically runs on your application servers, often every machine. At the heart of Synapse are proven routing components like HAProxy or NGINX.
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.
Under the hood, Synapse supports service_watcher
s for service discovery and
config_generators
for configuring local state (e.g. load balancer configs)
based on that service discovery state.
Synapse supports service discovery with pluggable service_watcher
s which
take care of signaling to the config_generators
so that they can react and
reconfigure to point at available servers on the fly.
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 install them as gems that extend Synapse's functionality. Check out the docs on creating a watcher if you're interested, and if you think that the service watcher would be generally useful feel free to pull request with a link to your watcher.
Synapse also has pluggable config_generator
s, which are responsible for reacting to service discovery
changes and writing out appropriate config. Right now HAProxy, and local files are built in, but you
can plug your own in easily.
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:
production:
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:
---
services:
proddb:
default_servers:
-
name: "default-db"
host: "mydb.example.com"
port: 5432
discovery:
method: "awstag"
tag_name: "proddb"
tag_value: "true"
haproxy:
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:
production:
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.
Installation
To download and run the synapse binary, first install a version of ruby. Then, install synapse with:
$ mkdir -p /opt/smartstack/synapse
# If you are on Ruby 2.X use --no-document instead of --no-ri --no-rdoc
# 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.
# Example:
# $ gem install aws-sdk -v XXX
$ gem install synapse --install-dir /opt/smartstack/synapse --no-ri --no-rdoc
# If you want to install specific plugins such as watchers or config generators
# gem install them *after* you install synapse.
# Example:
# $ gem install synapse-nginx --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 or NGINX or whatever proxy your config_generator
is configuring.
Configuration
Synapse depends on a single config file in JSON format; it's usually called synapse.conf.json
.
The file has a services
section that describes how services are discovered
and configured, and then top level sections for every supported proxy or
configuration section. For example, the default Synapse supports three sections:
services
: lists the services you'd like to connect.haproxy
: specifies how to configure and interact with HAProxy.file_output
(optional): specifies where to write service state to on the filesystem.- [
<your config generator here>
] (optional): configuration for your custom configuration generators (e.g. nginx, vulcand, envoy, etc ..., w.e. you want).
If you have synapse config_generator
plugins installed, you'll want a top
level as well, e.g.:
nginx
(optional): configuration for how to configure and interact with NGINX.
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 must contain the following keys:
The services hash should contain a section on how to configure each routing
component you wish to use for this particular service. The current choices are
haproxy
but you can access others e.g. nginx
through plugins. Note that if you give a routing component at the top level
but not at the service level the default is typically to make that service
available via that routing component, sans listening ports. If you wish to only
configure a single component explicitly pass the disabled
option to the
relevant routing component. For example if you want to only configure HAProxy and
not NGINX for a particular service, you would pass disabled
to the nginx
section
of that service's watcher config.
haproxy
: how will the haproxy section for this service be configured. If the correspondingwatcher
is defined to usezookeeper
and the service publishes itshaproxy
configure on ZK, thehaproxy
hash can be filled/updated via data from the ZK node.nginx
: how will the nginx section for this service be configured. NOTE to use this you must have the synapse-nginx plugin installed.
The services hash may contain the following additional keys:
default_servers
(default:[]
): the list of default servers providing this service; synapse uses these if no others can be discovered. See Listing Default Servers.keep_default_servers
(default: false): whether default servers should be added to discovered servicesuse_previous_backends
(default: true): if at any time the registry drops all backends, use previous backends we already know about. <a name="backend_port_override"/>backend_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 or the Ec2TagWatcher). 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.
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:
Base
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
: baselabel_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 appliedvalue
: The comparison valuecondition
(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" }
.
Zookeeper
This watcher retrieves a list of servers and also service config data from zookeeper. It takes the following mandatory arguments:
method
: zookeeperpath
: the zookeeper path where ephemeral nodes will be created for each available service serverhosts
: the list of zookeeper servers to queryretry_policy
: the retry policy (exponential back-off) when connecting to zookeeper servers and making network calls:max_attempts
maximum number of all attempts (including original attempt),max_delay
maxmimum delay in seconds for all attempts (including original attempt),base_interval
retry interval in seconds for first retry attempt,max_interval
maximum interval in seconds for each retry attempt. By default the retry policy is disabled.
The watcher assumes that each node under path
represents a service server.
The watcher assumes that the data (if any) retrieved at znode path
is a hash, where each key is named by a valid config_generator
(e.g. haproxy
) and the value is a hash that configs the generator. Alternatively, if a generator_config_path
argument is specified, the watcher will attempt to read generator config from that znode instead.
If generator_config_path
has the value disabled
, then generator config will not be read from zookeeper at all.
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 nodesendpoint_name
(default: nil): If using theserverset
method, this controls which of theadditionalEndpoints
is chosen instead of theserviceEndpoint
data. If not supplied theserverset
method will use the host/port from theserviceEndpoint
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.
Zookeeper Poll
This watcher retrieves a list of servers and also service config data from zookeeper. Instead of setting Zookeeper watchers, it uses a long-polling method.
It takes the following mandatory arguments:
method
: zookeeper_pollpolling_interval_sec
: the interval at which the watcher will poll Zookeeper. Defaults to 60 seconds.
Other than these two options, it takes the same options as the above ZookeeperWatcher. For all the required options, see above.
Docker
This watcher retrieves a list of docker containers via docker's HTTP API. It takes the following options:
method
: dockerservers
: a list of servers running docker as a daemon. Format is{"name":"...", "host": "..."[, port: 4243]}
image_name
: find containers running this imagecontainer_port
: find containers forwarding this portcheck_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
: ec2tagtag_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 backend_port_override
in the service 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 setAWS_ACCESS_KEY_ID
in the environment.aws_secret_access_key
: AWS secret key or setAWS_SECRET_ACCESS_KEY
in the environment.aws_region
: AWS region (i.e.us-east-1
) or setAWS_REGION
in the environment.
Marathon
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 Marathoncheck_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)
Multi
The MultiWatcher
aggregates multiple watchers together. This allows getting
service discovery data from multiple sources and combining them into one set of
backends.
It takes the following options:
method
: must bemulti
watchers
: a hash of name --> child watcher config. The name should uniquely identify the child watcher, and the config should be of the same format that the child watcher expects. I.e. a valid config for a Zookeeper child watcher looks like{"my_watcher" => {"method" => "zookeeper", "path" => "/svc", "hosts": ["localhost:2181"]} }
resolver
: an options hash which creates aResolver
. Themethod
field of that hash is used to decide whatresolver
to use, and the rest of the options are passed to that.
S3 Toggle File Resolver
This resolver merges results by picking one of the watchers to treat as the source of truth. That watcher is picked based on the contents of an S3 file, which is periodically polled. In other words, the file in S3 "toggles" between different watchers.
It takes the following options:
method
: must bes3_toggle
s3_url
: an S3-style URL pointing to the file. Looks likes3://{bucket}/{path...}
.s3_polling_interval_seconds
: frequency with which to fetch the file
The S3 file has the following YAML schema:
watcher_name: weight
second_watcher_name: weight
It is a simple dictionary in YAML where the key refers to the watcher nam
(as provided to the MultiWatcher
) and the value is an integer, non-negative
weight that determines the probability for that watcher to be chosen.
Union Resolver
The UnionResolver
merges the backends from each child watcher into a single list.
For example, with two children watchers that have backends of [a, b]
and [c, d]
,
it will return [a, b, c, d]
.
The config_for_generator
cannot be easily merged; intead, we pick the first non-empty
config. As such, when using union
you should ensure that only one watcher returns
a config or that all watchers have the same config.
method
: must beunion
Sequential Resolver
The SequentialResolver
goes through a specific ordering of watchers and returns the
first set of backends that did not error or return an empty set.
If sequential_order
is ['primary', 'secondary']
, it will first read the backends from
primary
; secondary
will only be read if the primary
fails (by returning an empty set
of backends). The smae method is used for the config_for_generator
.
It takes the following options:
method
: must besequential
sequential_order
: a list of watcher names that will be read in the provided order
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 uniquehost
: the host or IP address of the serverport
: the port where the service runs on thehost
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:
disabled
: A boolean value indicating if haproxy configuration management for just this service instance ought be disabled. For example, if you want file output for a particular service but no HAProxy config. (default isFalse
)port
: the port (on localhost) where HAProxy will listen for connections to the service. If this is null, just the bind_address will be used (e.g. for unix sockets) and if omitted, only a backend stanza (and no frontend stanza) will be generated for this service. In the case of a bare backend, you'll need to get traffic to your service yourself via theshared_frontend
or manual frontends inextra_sections
bind_address
: force HAProxy to listen on this address (default is localhost). Settingbind_address
on a per service basis overrides the globalbind_address
in the top levelhaproxy
. Having HAProxy listen for connections on different addresses (example: service1 listen on 127.0.0.2:443 and service2 listen on 127.0.0.3:443) 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
: DEPRECATED. Renamedbackend_port_override
and moved to the top level hash. This will be removed in future versions.server_options
: the haproxy options for eachserver
line of the service in HAProxy config; it may be left out. This field supports some basic templating: you can add include%{port}
,%{host}
, or%{name}
in this string, and those will be replaced with the appropriate values for the particular server being configured.frontend
: additional lines passed to the HAProxy config in thefrontend
stanza of this servicebackend
: additional lines passed to the HAProxy config in thebackend
stanza of this servicebackend_name
: The name of the generated HAProxy backend for this service (defaults to the service's key in theservices
section)listen
: these lines will be parsed and placed in the correctfrontend
/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 thebackend
stanza. (default is shuffling). Setting toasc
means sorting backends in ascending alphabetical order before generating stanza.desc
means descending alphabetical order.no_shuffle
means no shuffling or sorting. If you shuffle consider settingserver_order_seed
at the top level so that your backend ordering is deterministic across HAProxy reloads.shared_frontend
: optional: haproxy configuration directives for a shared http frontend (see below)cookie_value_method
: optional: default value isname
, it defines the way your backends receive a cookie value in http mode. If equal tohash
, 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.use_nerve_weights
: optional: this option enables reading the weights from nerve and applying them to the haproxy configuration. By default this is disabled in the case where users apply weights usingserver_options
orhaproxy_server_options
. This option will also remove the weight parameter fromserver_options
andhaproxy_server_options
Configuring HAProxy
The top level haproxy
section of the config file has the following options:
do_checks
: whether or not Synapse will validate HAProxy config prior to writing it (default tofalse
)check_command
: the command Synapse will run to validate HAProxy configcandidate_config_file_path
: the path to write the pre-validated (candidate) HAProxy config to for the check commanddo_reloads
: whether or not Synapse will reload HAProxy (default totrue
)reload_command
: the command Synapse will run to reload HAProxydo_writes
: whether or not the config file will be written (default totrue
)config_file_path
: where Synapse will write the HAProxy config filedo_socket
: whether or not Synapse will use the HAProxy socket commands to prevent reloads (default totrue
)socket_file_path
: where to find the haproxy stats socket. can be a list (if usingnbproc
)global
: options listed here will be written into theglobal
section of the HAProxy configdefaults
: options listed here will be written into thedefaults
section of the HAProxy configextra_sections
: additional, manually-configuredfrontend
,backend
, orlisten
stanzasbind_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 therestart_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 ifstate_file_path
is provided. (default: 86400)server_order_seed
: A number to seed random actions with so that all orders are deterministic. You can use this so that backend ordering is deterministic but still shuffled, for example by setting this to the hash of your machine's IP address you guarantee that HAProxy on different machines have different orders, but within that machine you always choose the same order. (default:rand(2000)
)max_server_id
: Synapse will try to ensure that server lines are written out with HAProxy "id"s that are unique and associated 1:1 with a service backend (host + port + name). To ensure these are unique Synapse internally counts up from 1 untilmax_server_id
, so you can have no more than this number of servers in a backend. If the default (65k) is not enough, make this higher but be wary that HAProxy internally uses an int to store this id, so ... your mileage may vary trying to make this higher. (default: 65535)
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:
haproxy:
shared_frontend:
- "bind 127.0.0.1:8081"
reload_command: "service haproxy reload"
config_file_path: "/etc/haproxy/haproxy.cfg"
socket_file_path:
- /var/run/haproxy.sock
- /var/run/haproxy2.sock
global:
- "daemon"
- "user haproxy"
- "group haproxy"
- "maxconn 4096"
- "log 127.0.0.1 local2 notice"
- "stats socket /var/run/haproxy.sock"
defaults:
- "log global"
- "balance roundrobin"
services:
service1:
discovery:
method: "zookeeper"
path: "/nerve/services/service1"
hosts:
- "0.zookeeper.example.com:2181"
haproxy:
server_options: "check inter 2s rise 3 fall 2"
shared_frontend:
- "acl is_service1 hdr_dom(host) -i service1.lb.example.com"
- "use_backend service1 if is_service1"
backend: "mode http"
service2:
discovery:
method: "zookeeper"
path: "/nerve/services/service2"
hosts: "0.zookeeper.example.com:2181"
haproxy:
server_options: "check inter 2s rise 3 fall 2"
shared_frontend:
- "acl is_service1 hdr_dom(host) -i service2.lb.example.com"
- "use_backend service2 if is_service2"
backend:
- "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
bind 127.0.0.1:8081
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.
Contributing
Note that now that we have a fully dynamic include system for service watchers and configuration generators, you don't have to PR into the main tree, but please do contribute a link.
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Creating a Service Watcher
See the Service Watcher README for how to add new Service Watchers.
<a name="createconfig"/>Creating a Config Generator
See the Config Generator README for how to add new Config Generators
<a name="plugins"/>Links to Synapse Plugins
synapse-nginx
Is aconfig_generator
which allows Synapse to automatically configure and administer a local NGINX proxy.