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Tutorials |
Tutorials |
These tutorials have been designed to showcase technologies and design patterns that can be used to begin creating intelligent applications on OpenShift. We have split them into two broad categories: examples and applications.
Applications are fully integrated packages which illustrate how an idea, methodology or technology can be developed and deployed on OpenShift in a manner that users can experience the underlying analytics in a more convenient manner.
Examples are small code samples or notebook workflows that demonstrate how you can integrate a specific technology or technique into your projects. They are separated from the concept of fitting into a user experience and speak to architects, developers and technologists.
All of these tutorials contain instructions for installation and usage as well as open source code artifacts that you are welcome to clone and use in your own projects and presentations. Some of these tutorials also contain videos and slide decks that can be helpful when presenting or demonstrating them to your peers and colleagues.
In this tutorial you will build a microservice which will calculate an approximate value for Pi when requested by HTTP. You will learn how to create applications which utilize Apache Spark and that are deployed directly from a source repository to OpenShift with a single command.
- https://github.com/radanalyticsio/tutorial-sparkpi-java-spring
- https://github.com/radanalyticsio/tutorial-sparkpi-java-vertx
- https://github.com/radanalyticsio/tutorial-sparkpi-python-flask
- https://github.com/radanalyticsio/tutorial-sparkpi-scala-scalatra
{% assign sorted_applications = site.applications | sort: 'weight' %} {% for item in sorted_applications %}
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{% if item.project_links %}
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{% assign sorted_examples = site.examples | sort: 'weight' %} {% for item in sorted_examples %}
{{ item.description }}
{% if item.project_links %}
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{% for link in item.project_links %}
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{% endfor %}