Service Discovery in MicroServices

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Service Discovery
Why Use Service Discovery?
Let’s imagine that you are writing some code that invokes a service that has a REST API or Thrift
API. In order to make a request, your code needs to know the network location (IP address and
port) of a service instance. In a traditional application running on physical hardware, the
network locations of service instances are relatively static. For example, your code can read the
network locations from a configuration file that is occasionally updated.
In a modern, cloud-based microservices application, however, this is a much more difficult
problem to solve as shown in the following diagram.

Service instances have dynamically assigned network locations. Moreover, the set of service
instances changes dynamically because of autoscaling, failures, and upgrades. Consequently,
your client code needs to use a more elaborate service discovery mechanism.
There are two main service discovery patterns: client-side discovery and server-side discovery.
Let’s first look at client-side discovery.
The Client-Side Discovery Pattern
When using client-side discovery, the client is responsible for determining the network
locations of available service instances and load balancing requests across them. The client
queries a service registry, which is a database of available service instances. The client then
uses a load-balancing algorithm to select one of the available service instances and makes a
request.
The following diagram shows the structure of this pattern.

The network location of a service instance is registered with the service registry when it starts
up. It is removed from the service registry when the instance terminates. The service instance’s
registration is typically refreshed periodically using a heartbeat mechanism.
Netflix OSS provides a great example of the client-side discovery pattern. Netflix Eureka is a
service registry. It provides a REST API for managing service-instance registration and for
querying available instances. Netflix Ribbon is an IPC client that works with Eureka to load
balance requests across the available service instances. We will discuss Eureka in more depth
later in this article.

The client-side discovery pattern has a variety of benefits and drawbacks. This pattern is
relatively straightforward and, except for the service registry, there are no other moving parts.
Also, since the client knows about the available services instances, it can make intelligent,
application-specific load-balancing decisions such as using hashing consistently. One significant
drawback of this pattern is that it couples the client with the service registry. You must
implement client-side service discovery logic for each programming language and framework
used by your service clients.
Now that we have looked at client-side discovery, let’s take a look at server-side discovery.
The Server-Side Discovery Pattern
The other approach to service discovery is the server-side discovery pattern. The following
diagram shows the structure of this pattern.
The client makes a request to a service via a load balancer. The load balancer queries the
service registry and routes each request to an available service instance. As with client-side
discovery, service instances are registered and deregistered with the service registry.
The AWS Elastic Load Balancer (ELB) is an example of a server-side discovery router. An ELB is
commonly used to load balance external traffic from the Internet. However, you can also use an

ELB to load balance traffic that is internal to a virtual private cloud (VPC). A client makes
requests (HTTP or TCP) via the ELB using its DNS name. The ELB load balances the traffic among
a set of registered Elastic Compute Cloud (EC2) instances or EC2 Container Service (ECS)
containers. There isn’t a separate service registry. Instead, EC2 instances and ECS containers are
registered with the ELB itself.
HTTP servers and load balancers such as NGINX Plus and NGINX can also be used as a server-
side discovery load balancer. For example, this blog post describes using Consul Template to
dynamically reconfigure NGINX reverse proxying. Consul Template is a tool that periodically
regenerates arbitrary configuration files from configuration data stored in
the Consul service registry.
It runs an arbitrary shell command whenever the files change. In the example described by the
blog post, Consul Template generates an nginx.conf file, which configures the reverse proxying,
and then runs a command that tells NGINX to reload the configuration.
A more sophisticated implementation could dynamically reconfigure NGINX Plus using
either its HTTP API or DNS.Some deployment environments such
as Kubernetes and Marathon run a proxy on each host in the cluster. The proxy plays the role of
a server-side discovery load balancer. In order to make a request to a service, a client routes
the request via the proxy using the host’s IP address and the service’s assigned port. The proxy
then transparently forwards the request to an available service instance running somewhere in
the cluster.
The server-side discovery pattern has several benefits and drawbacks. One great benefit of this
pattern is that details of discovery are abstracted away from the client. Clients simply make
requests to the load balancer. This eliminates the need to implement discovery logic for each
programming language and framework used by your service clients. Also, as mentioned above,
some deployment environments provide this functionality for free.
This pattern also has some drawbacks, however. Unless the load balancer is provided by the
deployment environment, it is yet another highly available system component that you need to
set up and manage.
The Service Registry
The service registry is a key part of service discovery. It is a database containing the network
locations of service instances. A service registry needs to be highly available and up to date.
Clients can cache network locations obtained from the service registry.
However, that information eventually becomes out of date and clients become unable to
discover service instances. Consequently, a service registry consists of a cluster of servers that
use a replication protocol to maintain consistency.

As mentioned earlier, Netflix Eureka is good example of a service registry. It provides a REST API
for registering and querying service instances. A service instance registers its network location
using a POST request. Every 30 seconds it must refresh its registration using a PUT request. A
registration is removed by either using an HTTP DELETE request or by the instance registration
timing out. As you might expect, a client can retrieve the registered service instances by using
an HTTP GET request.
Netflix achieves high availability by running one or more Eureka servers in each Amazon EC2
availability zone. Each Eureka server runs on an EC2 instance that has an Elastic IP address.
DNS TEXT records are used to store the Eureka cluster configuration, which is a map from
availability zones to a list of the network locations of Eureka servers. When a Eureka server
starts up, it queries DNS to retrieve the Eureka cluster configuration, locates its peers, and
assigns itself an unused Elastic IP address.
Eureka clients – services and service clients – query DNS to discover the network locations of
Eureka servers. Clients prefer to use a Eureka server in the same availability zone. However, if
none is available, the client uses a Eureka server in another availability zone.
Other examples of service registries include:
• etcd – A highly available, distributed, consistent, key-value store that is used for shared
configuration and service discovery. Two notable projects that use etcd are Kubernetes
and Cloud Foundry.
• consul – A tool for discovering and configuring services. It provides an API that allows clients
to register and discover services. Consul can perform health checks to determine service
availability.
• Apache Zookeeper – A widely used, high-performance coordination service for distributed
applications. Apache Zookeeper was originally a subproject of Hadoop but is now a top-level
project.
Also, as noted previously, some systems such as Kubernetes, Marathon, and AWS do not have
an explicit service registry. Instead, the service registry is just a built-in part of the
infrastructure.
Now that we have looked at the concept of a service registry, let’s look at how service instances
are registered with the service registry.
Service Registration Options
As previously mentioned, service instances must be registered with and deregistered from the
service registry. There are a couple of different ways to handle the registration and
deregistration. One option is for service instances to register themselves,
the self-registration pattern. The other option is for some other system component to manage

the registration of service instances, the third-party registration pattern. Let’s first look at the
self-registration pattern.
The Self-Registration Pattern
When using the self-registration pattern, a service instance is responsible for registering and
deregistering itself with the service registry. Also, if required, a service instance sends heartbeat
requests to prevent its registration from expiring. The following diagram shows the structure of
this pattern.
A good example of this approach is the Netflix OSS Eureka client. The Eureka client handles all
aspects of service instance registration and deregistration. The Spring Cloud project, which
implements various patterns including service discovery, makes it easy to automatically register
a service instance with Eureka. You simply annotate your Java Configuration class with
an @EnableEurekaClient annotation.

The self-registration pattern has various benefits and drawbacks. One benefit is that it is
relatively simple and doesn’t require any other system components. However, a major
drawback is that it couples the service instances to the service registry. You must implement
the registration code in each programming language and framework used by your services.
The alternative approach, which decouples services from the service registry, is the third-party
registration pattern.
The Third-Party Registration Pattern
When using the third-party registration pattern, service instances aren’t responsible for
registering themselves with the service registry. Instead, another system component known as
the service registrarhandles the registration. The service registrar tracks changes to the set of
running instances by either polling the deployment environment or subscribing to events.
When it notices a newly available service instance it registers the instance with the service
registry. The service registrar also deregisters terminated service instances. The following
diagram shows the structure of this pattern.
One example of a service registrar is the open source Registrator project. It automatically
registers and deregisters service instances that are deployed as Docker containers.
Registrator supports several service registries, including etcd and Consul.
Another example of a service registrar is NetflixOSS Prana. Primarily intended for services
written in non-JVM languages, it is a sidecar application that runs side by side with a service
instance. Prana registers and deregisters the service instance with Netflix Eureka.

The service registrar is a built-in component of deployment environments. The EC2 instances
created by an Autoscaling Group can be automatically registered with an ELB. Kubernetes
services are automatically registered and made available for discovery.
The third-party registration pattern has various benefits and drawbacks. A major benefit is that
services are decoupled from the service registry. You don’t need to implement
service-registration logic for each programming language and framework used by your
developers. Instead, service instance registration is handled in a centralized manner within a
dedicated service.
One drawback of this pattern is that unless it’s built into the deployment environment, it is yet
another highly available system component that you need to set up and manage.

Service Discovery in MicroServices

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