Skip to main content

A tool for managing cloud resources and scheduling compute tasks

Project description

https://travis-ci.org/rasmunk/corc.svg?branch=master

corc

corc is a cloud orchestration tool for managing cloud resources, including VM’s, virtual networks and container clusters.

In addition, corc provides the capability to schedule job on orchestrated resources

The current implementation only supports the OCI backend. Future plans includes expanding this to support AWS as well.

Installation

Installation from pypi:

pip install corc

Installation from local git repository:

cd corc
pip install .

Configuration

Depending on the selected backend cloud to utilize, corc requires that the specified provider’s developer authentication mechanism is configuered on the system at hand.

For instance the OCI (Oracle Cloud Infrastructure), requires that API keys have been predefined in the specific compartment and that these are associated with a profile in a valid oci configuration. See (https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/devguidesetupprereq.htm)

In addition, if utilizing the S3 storage feature, corc expects that there similarly is a valid S3 configuration. For more information on this, see (https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html)

Usage

As mentioned, corc is a command-line tool for managing cloud resources, such instantiating VM instances or Kubernetes Clusters or scheduling jobs on said clusters.

The available options can be discovered through the CLI itself, e.g:

corc -h
usage: corc [-h] [--oci-profile-name OCI_PROFILE_NAME]
            [--oci-compartment-id OCI_COMPARTMENT_ID]
            {OCI} {instance,cluster,job} ...

optional arguments:
-h, --help            show this help message and exit

Available Platforms:
{OCI}

OCI arguments:
--oci-profile-name OCI_PROFILE_NAME
--oci-compartment-id OCI_COMPARTMENT_ID

COMMAND:
{instance,cluster,job}

As show above, the first thing that is specified is which of the Available Platforms is the target of the specified COMMAND. Expanding on this, the cluster command provides the following functionalities:

corc OCI cluster -h
usage: corc {OCI} cluster [-h] {start,stop,list,update} ...

optional arguments:
-h, --help            show this help message and exit

Commands:
{start,stop,list,update}

A cluster currently only means a Kubernetes Cluster created from a specified set of VM nodes. On a cluster, you can submit jobs via the job command:

corc OCI job -h
usage: corc {OCI} job [-h] {run,result} ...

optional arguments:
-h, --help    show this help message and exit

Commands:
{run,result}

Note, corc is still very much in early development, therefore not every command and option will run as expected.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

corc-0.0.1a4.tar.gz (40.1 kB view hashes)

Uploaded Source

Built Distribution

corc-0.0.1a4-py3-none-any.whl (59.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page