Developer Guide

  • 2022.3.0
  • 09/27/2022
  • Public Content

Concepts

Use the Container Playground components to
develop
,
build
and
test
your applications on Intel® hardware directly from your browser without any setup required on your local machine.
Get an overview using the
Quick tour
option.
Component
Description
Resources
Import assets like container images, dockerfiles, helm charts, docker-compose files, and application source code.
Projects
Associate imported resources with one or more projects to configure and run.
My Library
Manage your configured projects, imported resources, and storage filesystem.
Dashboard
Start, monitor, view performance information, stop and remove your active projects.
Marketplace
Pre-built container catalog to try out or use as building blocks for your projects.
CLI
JupyterLab IDE with buildah and OpenVINO™ installed for interactive development and customizing sample applications.

How It Works?

  • Your account will be active for
    120 days
    after sign-up.
  • A single logged in session can be used for up to
    4 hours
    .

Testing environment

The container-playground portal supports multiple mechanisms to onboard your containerized applications.
Above
imported resources
must be associated with a
project
to configure and launch on available Intel® hardware. Upon launch, the target hardware is allocated to your user account
exclusively
until the execution completes or a maximum time limit of
30mins
is reached. You also have access to the container logs, performance information and a filesystem that can be mounted to retrieve data from the containers.
  • You can launch up to
    3 different projects
    on target platforms simultaneously.
  • Use the
    private registry
    associated with your account to store up to
    15 containers
    with a total storage limit of
    20GB
  • Your containers can be built with a maximum size of
    10GB

JupyterLab environment

The JupyterLab environment can be used for
development
tasks such as:
Your workspace includes:
  • Intel® Xeon® processor with
    2 vCPUs
    and
    4 GB RAM
  • Access to
    2 GB
    of private persistant filesystem storage associated with your account expandable up to 5GB
  • OpenVINO™ Toolkit utilities accessible in the terminal
  • Pre-installed dependencies to run OpenVINO™ notebooks
  • Essential utilities such as Python, git, curl, wget and Java
  • Buildah to facilitate building your containers from dockerfiles
  • Your active Jupyterlab instance can be used for up to
    2 hours
    .
  • For performance benchmarking tasks, see Test Containers.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.