Dave Cunningham
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README.md | 9 years ago | |
guestbook.yaml |
README.md
Guestbook Example
Welcome to the Guestbook example. It shows you how to build and reuse parameterized templates.
Prerequisites
First, make sure DM is installed in your Kubernetes cluster and that the Guestbook example is deployed by following the instructions in the top level README.md.
Understanding the Guestbook example
Let's take a closer look at the configuration used by the Guestbook example.
Replicated services
The typical design pattern for microservices in Kubernetes is to create a replication controller and a service with the same selector, so that the service exposes ports from the pods managed by the replication controller.
We have created a parameterized template for this kind of replicated service called Replicated Service, and we use it three times in the Guestbook example.
The template is defined by a Python script. It also has a schema. Schemas are optional. If provided, they are used to validate template invocations that appear in configurations.
For more information about templates and schemas, see the design document.
The Guestbook application
The Guestbook application consists of 2 microservices: a front end and a Redis cluster.
The front end
The front end is a replicated service with 3 replicas:
- name: frontend
type: https://raw.githubusercontent.com/kubernetes/application-dm-templates/common/replicatedservice/v1/replicatedservice.py
properties:
service_port: 80
container_port: 80
external_service: true
replicas: 3
image: gcr.io/google_containers/example-guestbook-php-redis:v3
(Note that we use the URL for a specific version of the template replicatedservice.py, not just the template name.)
The Redis cluster
The Redis cluster consists of two replicated services: a master with a single replica and the slaves with 2 replicas. It's defined by this template, which is a Jinja file with a schema.
{% set REDIS_PORT = 6379 %}
{% set WORKERS = properties['workers'] or 2 %}
resources:
- name: redis-master
type: https://raw.githubusercontent.com/kubernetes/application-dm-templates/master/common/replicatedservice/v1/replicatedservice.py
properties:
# This has to be overwritten since service names are hard coded in the code
service_name: redis-master
service_port: {{ REDIS_PORT }}
target_port: {{ REDIS_PORT }}
container_port: {{ REDIS_PORT }}
replicas: 1
container_name: master
image: redis
- name: redis-slave
type: https://raw.githubusercontent.com/kubernetes/application-dm-templates/master/common/replicatedservice/v1/replicatedservice.py
properties:
# This has to be overwritten since service names are hard coded in the code
service_name: redis-slave
service_port: {{ REDIS_PORT }}
container_port: {{ REDIS_PORT }}
replicas: {{ WORKERS }}
container_name: worker
image: kubernetes/redis-slave:v2
# An example of how to specify env variables.
env:
- name: GET_HOSTS_FROM
value: env
- name: REDIS_MASTER_SERVICE_HOST
value: redis-master
Displaying types
You can see both the both primitive types and the templates you've deployed to the
cluster using the deployed-types
command:
dm deployed-types
["Service","ReplicationController","redis.jinja","https://raw.githubusercontent.com/kubernetes/application-dm-templates/master/common/replicatedservice/v1/replicatedservice.py"]
This output shows 2 primitive types (Service and ReplicationController), and 2 templates (redis.jinja and one imported from github named replicatedservice.py).
You can also see where a specific type is being used with the deployed-instances
command:
dm deployed-instances Service
[{"name":"frontend-service","type":"Service","deployment":"guestbook4","manifest":"manifest-1446682551242763329","path":"$.resources[0].resources[0]"},{"name":"redis-master","type":"Service","deployment":"guestbook4","manifest":"manifest-1446682551242763329","path":"$.resources[1].resources[0].resources[0]"},{"name":"redis-slave","type":"Service","deployment":"guestbook4","manifest":"manifest-1446682551242763329","path":"$.resources[1].resources[1].resources[0]"}]
This output describes the deployment and manifest, as well as the JSON paths to the instances of the type within the layout.
For more information about deployments, manifests and layouts, see the design document.