Spring Cloud Kubernetes provide Spring Cloud common interfaces implementations to consume Kubernetes native services. The main objective of the projects provided in this repository is to facilitate the integration of Spring Cloud/Spring Boot applications running inside Kubernetes.
This project provides an implementation of Discovery Client
for Kubernetes.
This allows you to query Kubernetes endpoints (see services) by name.
A service is typically exposed by the Kubernetes API server as a collection of endpoints which represent http
, https
addresses that a client can
access from a Spring Boot application running as a pod. This discovery feature is also used by the Spring Cloud Kubernetes Ribbon project
to fetch the list of the endpoints defined for an application to be load balanced.
This is something that you get for free just by adding the following dependency inside your project:
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-kubernetes</artifactId>
<version>${latest.version}</version>
</dependency>
To enable loading of the DiscoveryClient
, add @EnableDiscoveryClient
to the according configuration or application class like this:
@SpringBootApplication
@EnableDiscoveryClient
public class Application {
public static void main(String[] args) {
SpringApplication.run(Application.class, args);
}
}
Then you can inject the client in your code simply by:
@Autowired
private DiscoveryClient discoveryClient;
If for any reason you need to disable the DiscoveryClient
you can simply set the following property in application.properties
:
spring.cloud.kubernetes.discovery.enabled=false
Some Spring Cloud components use the DiscoveryClient
in order to obtain info about the local service instance. For
this to work you need to align the Kubernetes service name with the spring.application.name
property.
The most common approach to configure your Spring Boot application is to create an application.properties|yaml
or
an application-profile.properties|yaml
file containing key-value pairs providing customization values to your
application or Spring Boot starters. Users may override these properties by specifying system properties or environment
variables.
Kubernetes provides a resource named ConfigMap to externalize the
parameters to pass to your application in the form of key-value pairs or embedded application.properties|yaml
files.
The Spring Cloud Kubernetes Config project makes Kubernetes `ConfigMap`s available
during application bootstrapping and triggers hot reloading of beans or Spring context when changes are detected on
observed `ConfigMap`s.
The default behavior is to create a ConfigMapPropertySource
based on a Kubernetes ConfigMap
which has metadata.name
of either the name of
your Spring application (as defined by its spring.application.name
property) or a custom name defined within the
bootstrap.properties
file under the following key spring.cloud.kubernetes.config.name
.
However, more advanced configuration are possible where multiple ConfigMaps can be used
This is made possible by the spring.cloud.kubernetes.config.sources
list.
For example one could define the following ConfigMaps
spring:
application:
name: cloud-k8s-app
cloud:
kubernetes:
config:
name: default-name
namespace: default-namespace
sources:
# Spring Cloud Kubernetes will lookup a ConfigMap named c1 in namespace default-namespace
- name: c1
# Spring Cloud Kubernetes will lookup a ConfigMap named default-name in whatever namespace n2
- namespace: n2
# Spring Cloud Kubernetes will lookup a ConfigMap named c3 in namespace n3
- namespace: n3
name: c3
In the example above, it spring.cloud.kubernetes.config.namespace
had not been set,
then the ConfigMap named c1
would be looked up in the namespace that the application runs
Any matching ConfigMap
that is found, will be processed as follows:
-
apply individual configuration properties.
-
apply as
yaml
the content of any property namedapplication.yaml
-
apply as properties file the content of any property named
application.properties
The single exception to the aforementioned flow is when the ConfigMap
contains a single key that indicates
the file is a YAML or Properties file. In that case the name of the key does NOT have to be application.yaml
or
application.properties
(it can be anything) and the value of the property will be treated correctly.
This features facilitates the use case where the ConfigMap
was created using something like:
kubectl create configmap game-config --from-file=/path/to/app-config.yaml
Example:
Let’s assume that we have a Spring Boot application named demo
that uses properties to read its thread pool
configuration.
-
pool.size.core
-
pool.size.maximum
This can be externalized to config map in yaml
format:
kind: ConfigMap
apiVersion: v1
metadata:
name: demo
data:
pool.size.core: 1
pool.size.max: 16
Individual properties work fine for most cases but sometimes embedded yaml
is more convenient. In this case we will
use a single property named application.yaml
to embed our yaml
:
kind: ConfigMap
apiVersion: v1
metadata:
name: demo
data:
application.yaml: |-
pool:
size:
core: 1
max:16
The following also works:
kind: ConfigMap
apiVersion: v1
metadata:
name: demo
data:
custom-name.yaml: |-
pool:
size:
core: 1
max:16
Spring Boot applications can also be configured differently depending on active profiles which will be merged together
when the ConfigMap is read. It is possible to provide different property values for different profiles using an
application.properties|yaml
property, specifying profile-specific values each in their own document
(indicated by the ---
sequence) as follows:
kind: ConfigMap
apiVersion: v1
metadata:
name: demo
data:
application.yml: |-
greeting:
message: Say Hello to the World
farewell:
message: Say Goodbye
---
spring:
profiles: development
greeting:
message: Say Hello to the Developers
farewell:
message: Say Goodbye to the Developers
---
spring:
profiles: production
greeting:
message: Say Hello to the Ops
In the above case, the configuration loaded into your Spring Application with the development
profile will be:
greeting:
message: Say Hello to the Developers
farewell:
message: Say Goodbye to the Developers
whereas if the production
profile is active, the configuration will be:
greeting:
message: Say Hello to the Ops
farewell:
message: Say Goodbye
If both profiles are active, the property which appears last within the configmap will overwrite preceding values.
To tell to Spring Boot which profile
should be enabled at bootstrap, a system property can be passed to the Java
command launching your Spring Boot application using an env variable that you will define with the OpenShift
DeploymentConfig
or Kubernetes ReplicationConfig
resource file as follows:
apiVersion: v1
kind: DeploymentConfig
spec:
replicas: 1
...
spec:
containers:
- env:
- name: JAVA_APP_DIR
value: /deployments
- name: JAVA_OPTIONS
value: -Dspring.profiles.active=developer
Notes: - check the security configuration section, to access config maps from inside a pod you need to have the correct Kubernetes service accounts, roles and role bindings.
Name | Type | Default | Description |
---|---|---|---|
spring.cloud.kubernetes.config.enabled |
Boolean |
true |
Enable Secrets PropertySource |
spring.cloud.kubernetes.config.name |
String |
${spring.application.name} |
Sets the name of ConfigMap to lookup |
spring.cloud.kubernetes.config.namespace |
String |
Client namespace |
Sets the Kubernetes namespace where to lookup |
spring.cloud.kubernetes.config.paths |
List |
null |
Sets the paths where ConfigMaps are mounted |
spring.cloud.kubernetes.config.enableApi |
Boolean |
true |
Enable/Disable consuming ConfigMaps via APIs |
Kubernetes has the notion of [Secrets](https://kubernetes.io/docs/concepts/configuration/secret/) for storing
sensitive data such as password, OAuth tokens, etc. This project provides integration with Secrets
to make secrets
accessible by Spring Boot applications. This feature can be explicitly enabled/disabled using the spring.cloud.kubernetes.secrets.enabled
property.
The SecretsPropertySource
when enabled will lookup Kubernetes for Secrets
from the following sources:
1. reading recursively from secrets mounts
2. named after the application (as defined by spring.application.name
)
3. matching some labels
Please note that by default, consuming Secrets via API (points 2 and 3 above) is not enabled for security reasons and it is recommend that containers share secrets via mounted volumes.
If the secrets are found their data is made available to the application.
Example:
Let’s assume that we have a spring boot application named demo
that uses properties to read its database
configuration. We can create a Kubernetes secret using the following command:
oc create secret generic db-secret --from-literal=username=user --from-literal=password=p455w0rd
This would create the following secret (shown using oc get secrets db-secret -o yaml
):
apiVersion: v1
data:
password: cDQ1NXcwcmQ=
username: dXNlcg==
kind: Secret
metadata:
creationTimestamp: 2017-07-04T09:15:57Z
name: db-secret
namespace: default
resourceVersion: "357496"
selfLink: /api/v1/namespaces/default/secrets/db-secret
uid: 63c89263-6099-11e7-b3da-76d6186905a8
type: Opaque
Note that the data contains Base64-encoded versions of the literal provided by the create command.
This secret can then be used by your application for example by exporting the secret’s value as environment variables:
apiVersion: v1
kind: Deployment
metadata:
name: ${project.artifactId}
spec:
template:
spec:
containers:
- env:
- name: DB_USERNAME
valueFrom:
secretKeyRef:
name: db-secret
key: username
- name: DB_PASSWORD
valueFrom:
secretKeyRef:
name: db-secret
key: password
You can select the Secrets to consume in a number of ways:
-
By listing the directories where secrets are mapped:
` -Dspring.cloud.kubernetes.secrets.paths=/etc/secrets/db-secret,etc/secrets/postgresql
`If you have all the secrets mapped to a common root, you can set them like:
``` -Dspring.cloud.kubernetes.secrets.paths=/etc/secrets ```
-
By setting a named secret:
` -Dspring.cloud.kubernetes.secrets.name=db-secret
` -
By defining a list of labels:
` -Dspring.cloud.kubernetes.secrets.labels.broker=activemq -Dspring.cloud.kubernetes.secrets.labels.db=postgresql
`
Name | Type | Default | Description |
---|---|---|---|
spring.cloud.kubernetes.secrets.enabled |
Boolean |
true |
Enable Secrets PropertySource |
spring.cloud.kubernetes.secrets.name |
String |
${spring.application.name} |
Sets the name of the secret to lookup |
spring.cloud.kubernetes.secrets.namespace |
String |
Client namespace |
Sets the Kubernetes namespace where to lookup |
spring.cloud.kubernetes.secrets.labels |
Map |
null |
Sets the labels used to lookup secrets |
spring.cloud.kubernetes.secrets.paths |
List |
null |
Sets the paths where secrets are mounted (example 1) |
spring.cloud.kubernetes.secrets.enableApi |
Boolean |
false |
Enable/Disable consuming secrets via APIs (examples 2 and 3) |
Notes:
- The property spring.cloud.kubernetes.secrets.labels
behaves as defined by
Map-based binding.
- The property spring.cloud.kubernetes.secrets.paths
behaves as defined by
Collection-based binding.
- Access to secrets via API may be restricted for security reasons, the preferred way is to mount secret to the POD.
Example of application using secrets (though it hasn’t been updated to use the new spring-cloud-kubernetes
project):
spring-boot-camel-config
Some applications may need to detect changes on external property sources and update their internal status to reflect the new configuration.
The reload feature of Spring Cloud Kubernetes is able to trigger an application reload when a related ConfigMap
or
Secret
changes.
This feature is disabled by default and can be enabled using the configuration property spring.cloud.kubernetes.reload.enabled=true
(eg. in the application.properties file).
The following levels of reload are supported (property spring.cloud.kubernetes.reload.strategy
):
- refresh
(default): only configuration beans annotated with @ConfigurationProperties
or @RefreshScope
are reloaded.
This reload level leverages the refresh feature of Spring Cloud Context.
- restart_context
: the whole Spring ApplicationContext is gracefully restarted. Beans are recreated with the new configuration.
- shutdown
: the Spring ApplicationContext is shut down to activate a restart of the container.
When using this level, make sure that the lifecycle of all non-daemon threads is bound to the ApplicationContext
and that a replication controller or replica set is configured to restart the pod.
Example:
Assuming that the reload feature is enabled with default settings (refresh
mode), the following bean will be refreshed when the config map changes:
@Configuration
@ConfigurationProperties(prefix = "bean")
public class MyConfig {
private String message = "a message that can be changed live";
// getter and setters
}
A way to see that changes effectively happen is creating another bean that prints the message periodically.
@Component
public class MyBean {
@Autowired
private MyConfig config;
@Scheduled(fixedDelay = 5000)
public void hello() {
System.out.println("The message is: " + config.getMessage());
}
}
The message printed by the application can be changed using a ConfigMap
as follows:
apiVersion: v1
kind: ConfigMap
metadata:
name: reload-example
data:
application.properties: |-
bean.message=Hello World!
Any change to the property named bean.message
in the ConfigMap
associated to the pod will be reflected in the
output. More generally speaking, changes associated to properties prefixed with the value defined by the prefix
field of the @ConfigurationProperties
annotation will be detected and reflected in the application.
[Associating a ConfigMap
to a pod](#configmap-propertysource) is explained above.
The full example is available in [spring-cloud-kubernetes-reload-example](spring-cloud-kubernetes-examples/kubernetes-reload-example).
The reload feature supports two operating modes:
- event (default): watches for changes in config maps or secrets using the Kubernetes API (web socket).
Any event will produce a re-check on the configuration and a reload in case of changes.
The view
role on the service account is required in order to listen for config map changes. A higher level role (eg. edit
) is required for secrets
(secrets are not monitored by default).
- polling: re-creates the configuration periodically from config maps and secrets to see if it has changed.
The polling period can be configured using the property spring.cloud.kubernetes.reload.period
and defaults to 15 seconds.
It requires the same role as the monitored property source.
This means, for example, that using polling on file mounted secret sources does not require particular privileges.
Name | Type | Default | Description |
---|---|---|---|
spring.cloud.kubernetes.reload.enabled |
Boolean |
false |
Enables monitoring of property sources and configuration reload |
spring.cloud.kubernetes.reload.monitoring-config-maps |
Boolean |
true |
Allow monitoring changes in config maps |
spring.cloud.kubernetes.reload.monitoring-secrets |
Boolean |
false |
Allow monitoring changes in secrets |
spring.cloud.kubernetes.reload.strategy |
Enum |
refresh |
The strategy to use when firing a reload (refresh, restart_context, shutdown) |
spring.cloud.kubernetes.reload.mode |
Enum |
event |
Specifies how to listen for changes in property sources (event, polling) |
spring.cloud.kubernetes.reload.period |
Long |
15000 |
The period in milliseconds for verifying changes when using the polling strategy |
Notes: - Properties under spring.cloud.kubernetes.reload. should not be used in config maps or secrets: changing such properties at runtime may lead to unexpected results; - Deleting a property or the whole config map does not restore the original state of the beans when using the refresh level.
Spring Cloud client applications calling a microservice should be interested on relying on a client load-balancing
feature in order to automatically discover at which endpoint(s) it can reach a given service. This mechanism has been
implemented within the [spring-cloud-kubernetes-ribbon](spring-cloud-kubernetes-ribbon/pom.xml) project where a
Kubernetes client will populate a Ribbon ServerList
containing information
about such endpoints.
The implementation is part of the following starter that you can use by adding its dependency to your pom file:
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-kubernetes-netflix</artifactId>
<version>${latest.version}</version>
</dependency>
When the list of the endpoints is populated, the Kubernetes client will search the registered endpoints living in the current namespace/project matching the service name defined using the Ribbon Client annotation:
@RibbonClient(name = "name-service")
You can configure Ribbon’s behavior by providing properties in your application.properties
(via your application’s
dedicated ConfigMap
) using the following format: <name of your service>.ribbon.<Ribbon configuration key>
where:
-
<name of your service>
corresponds to the service name you’re accessing over Ribbon, as configured using the@RibbonClient
annotation (e.g.name-service
in the example above) -
<Ribbon configuration key>
is one of the Ribbon configuration key defined by Ribbon’s CommonClientConfigKey class
Additionally, the spring-cloud-kubernetes-ribbon
project defines two additional configuration keys to further
control how Ribbon interacts with Kubernetes. In particular, if an endpoint defines multiple ports, the default
behavior is to use the first one found. To select more specifically which port to use, in a multi-port service, use
the PortName
key. If you want to specify in which Kubernetes' namespace the target service should be looked up, use
the KubernetesNamespace
key, remembering in both instances to prefix these keys with your service name and
ribbon
prefix as specified above.
Examples that are using this module for ribbon discovery are:
Note: The Ribbon discovery client can be disabled by setting this key within the application properties file
spring.cloud.kubernetes.ribbon.enabled=false
.
All of the features described above will work equally well regardless of whether your application is running inside
Kubernetes or not. This is really helpful for development and troubleshooting.
From a development point of view, this is really helpful as you can start your Spring Boot application and debug one
of the modules part of this project. It is not required to deploy it in Kubernetes
as the code of the project relies on the
[Fabric8 Kubernetes Java client](https://github.com/fabric8io/kubernetes-client) which is a fluent DSL able to
communicate using http
protocol to the REST API of Kubernetes Server.
When the application runs as a pod inside Kubernetes a Spring profile named kubernetes
will automatically get activated.
This allows the developer to customize the configuration, to define beans that will be applied when the Spring Boot application is deployed
within the Kubernetes platform (e.g. different dev and prod configuration).
Spring Boot uses HealthIndicator to expose info about the health of an application. That makes it really useful for exposing health related information to the user and are also a good fit for use as readiness probes.
The Kubernetes health indicator which is part of the core module exposes the following info:
-
pod name, ip address, namespace, service account, node name and its ip address
-
flag that indicates if the Spring Boot application is internal or external to Kubernetes
<TBD>
Most of the components provided in this project need to know the namespace. For Kubernetes (1.3+) the namespace is made available to pod as part of the service account secret and automatically detected by the client. For earlier version it needs to be specified as an env var to the pod. A quick way to do this is:
env:
- name: "KUBERNETES_NAMESPACE"
valueFrom:
fieldRef:
fieldPath: "metadata.namespace"
For distros of Kubernetes that support more fine-grained role-based access within the cluster, you need to make sure a pod that runs with spring-cloud-kubernetes has access to the Kubernetes API.
For any service accounts you assign to a deployment/pod, you need to make sure it has the correct roles. For example, you can add cluster-reader
permissions to your default
service account depending on the project you’re in:
List of examples using these projects:
<TBD>
To build the source you will need to install JDK 1.7.
Spring Cloud uses Maven for most build-related activities, and you should be able to get off the ground quite quickly by cloning the project you are interested in and typing
$ ./mvnw install
Note
|
You can also install Maven (>=3.3.3) yourself and run the mvn command
in place of ./mvnw in the examples below. If you do that you also
might need to add -P spring if your local Maven settings do not
contain repository declarations for spring pre-release artifacts.
|
Note
|
Be aware that you might need to increase the amount of memory
available to Maven by setting a MAVEN_OPTS environment variable with
a value like -Xmx512m -XX:MaxPermSize=128m . We try to cover this in
the .mvn configuration, so if you find you have to do it to make a
build succeed, please raise a ticket to get the settings added to
source control.
|
For hints on how to build the project look in .travis.yml
if there
is one. There should be a "script" and maybe "install" command. Also
look at the "services" section to see if any services need to be
running locally (e.g. mongo or rabbit). Ignore the git-related bits
that you might find in "before_install" since they’re related to setting git
credentials and you already have those.
The projects that require middleware generally include a
docker-compose.yml
, so consider using
Docker Compose to run the middeware servers
in Docker containers. See the README in the
scripts demo
repository for specific instructions about the common cases of mongo,
rabbit and redis.
Note
|
If all else fails, build with the command from .travis.yml (usually
./mvnw install ).
|
The spring-cloud-build module has a "docs" profile, and if you switch
that on it will try to build asciidoc sources from
src/main/asciidoc
. As part of that process it will look for a
README.adoc
and process it by loading all the includes, but not
parsing or rendering it, just copying it to ${main.basedir}
(defaults to ${basedir}
, i.e. the root of the project). If there are
any changes in the README it will then show up after a Maven build as
a modified file in the correct place. Just commit it and push the change.
If you don’t have an IDE preference we would recommend that you use Spring Tools Suite or Eclipse when working with the code. We use the m2eclipse eclipse plugin for maven support. Other IDEs and tools should also work without issue as long as they use Maven 3.3.3 or better.
We recommend the m2eclipse eclipse plugin when working with eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse marketplace".
Note
|
Older versions of m2e do not support Maven 3.3, so once the
projects are imported into Eclipse you will also need to tell
m2eclipse to use the right profile for the projects. If you
see many different errors related to the POMs in the projects, check
that you have an up to date installation. If you can’t upgrade m2e,
add the "spring" profile to your settings.xml . Alternatively you can
copy the repository settings from the "spring" profile of the parent
pom into your settings.xml .
|
Spring Cloud is released under the non-restrictive Apache 2.0 license, and follows a very standard Github development process, using Github tracker for issues and merging pull requests into master. If you want to contribute even something trivial please do not hesitate, but follow the guidelines below.
Before we accept a non-trivial patch or pull request we will need you to sign the Contributor License Agreement. Signing the contributor’s agreement does not grant anyone commit rights to the main repository, but it does mean that we can accept your contributions, and you will get an author credit if we do. Active contributors might be asked to join the core team, and given the ability to merge pull requests.
This project adheres to the Contributor Covenant code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to spring-code-of-conduct@pivotal.io.
None of these is essential for a pull request, but they will all help. They can also be added after the original pull request but before a merge.
-
Use the Spring Framework code format conventions. If you use Eclipse you can import formatter settings using the
eclipse-code-formatter.xml
file from the Spring Cloud Build project. If using IntelliJ, you can use the Eclipse Code Formatter Plugin to import the same file. -
Make sure all new
.java
files to have a simple Javadoc class comment with at least an@author
tag identifying you, and preferably at least a paragraph on what the class is for. -
Add the ASF license header comment to all new
.java
files (copy from existing files in the project) -
Add yourself as an
@author
to the .java files that you modify substantially (more than cosmetic changes). -
Add some Javadocs and, if you change the namespace, some XSD doc elements.
-
A few unit tests would help a lot as well — someone has to do it.
-
If no-one else is using your branch, please rebase it against the current master (or other target branch in the main project).
-
When writing a commit message please follow these conventions, if you are fixing an existing issue please add
Fixes gh-XXXX
at the end of the commit message (where XXXX is the issue number).