This GitHub project contains the examples from the "Kubernetes Patterns" book by Bilgin Ibryam and Roland Huß
Installation instructions for the examples' prerequisites are summarised in INSTALL. By default, you need access to a vanilla Kubernetes installation, like Minikube. If addons are required, the example description explains this additional requirement.
For feedback, issues or questions in general, please use the issue tracker to open issues. Also, we love contributions like spelling fixes, bug fixes, improvements, … Please open Pull Requests, we are happy to review them!
All example are categorised according to the Book’s patterns category. Each of the examples is contained in an extra directory per pattern and is self-contained. [1]
- Predictable Demands
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Our sample random generator dealing with hard requirements on ConfigMap and PersistentVolumeClaims as well as with resource limits.
- Declarative Deployment
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Rolling and fixed update of the random generator Deployment from version 1.0 to 2.0.
- Health Probe
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Liveness and Readiness probes for the random generator.
- Managed Lifecycle
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postStartandpreStophooks demonstrated with the random generator application. - Service Discovery
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Various ways how to access our random-generator REST service [*]
- Automated Placement
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Example with node selector, pod and node affinity, taint and tolerations demonstrated.
- Batch Job
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Generate thousands of random numbers into a file with a batch job
- Periodic Job
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Reuses the Batch Job example, but runs it periodically at a configured schedule
- Daemon Service
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Sample maintenance script for maintenance jobs on every node of a cluster [*]
- Singleton Service
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Example of a PodDisruptionBudget for controlling voluntary disruptions [*]
- Self Awareness
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Using the Downward API for setting environment variables and mount resource fields as files with the random-generator service.
- Init Container
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Initialize a HTTP server’s HTML source from a remote git repository [*]
- Sidecar
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Git polling example for a sidecar
- Ambassador
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Ambassador for moving on the log of the random-generator [*]
- Adapter
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Adapter for exporting timing information from the sample random-generator application in a Prometheus format [*]
- EnvVar Configuration
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A simple example of how to use environment variables literally and from ConfigMaps and Secrets for our random-generator service. [*]
- Configuration Resource
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Example how to configure the random-generator Spring Boot application with a ConfigMap [*]
- Configuration Template
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Example how to use a template configuration
standalone.xmlwhich is processed with a template processed and filled with data from ConfigMap before a Wildfly server is started. - Immutable Configuration
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Several examples of how to use immutable configuration containers for application configuration. This includes examples for the plain Docker case and for Kubernetes.
- Stateful Service
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StatefulSet example for our random-generator [*]
- Controller
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Simple, pure shell based controller which watches ConfigMap resources for changes and restarts
Podsby using a label selector provided as annotation. An additional example controller exposes an Ingress route when it detects anexposeServicelabel attached to the service. - Operator
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Operator based on the ConfigMap watch controller and introduces a CRD ConfigWatcher which connects a ConfigMap with a set of Pods to restart in case of a config change.
- Image Builder
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Setup a chained build on OpenShift and use Knative build for doing builds within the cluster.
- Elastic Scale
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Horizontal and vertical scaling examples with the random-generator Service [*]