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#Container Resource Allocation Options in docker-run

now see: https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources

You have various options for controlling resources (cpu, memory, disk) in docker. These are principally via the docker-run command options.

##Dynamic CPU Allocation -c, --cpu-shares=0
CPU shares (relative weight, specify some numeric value which is used to allocate relative cpu share)

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#Some discussions on logging from docker: Using logstash Using Papertrail

Issue Loging Drivers

Issue Enhanced Logging

A lot of this boils down to whether you want a single or multi-process (systemd, supervisord etc.) container...

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#using https://github.com/cli/cli and jq.

gh repo list -L 80 --json name,description,isArchived,createdAt,updatedAt,url --jq '.[] | [.name, .description, .createdAt, .isArchived, .url]' RADAR-base  > radar-base-repos.csv

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#DESC: Providing a overview of all the Instances running across the individual regions, something not readily available in AWS web UI :-/ 
# Install AWS CLI https://aws.amazon.com/cli/

#--------------------------------------------------------------------------------------
# List all aws instances in all regions, parse out response JSON
# Props to: https://github.com/aws/aws-cli/issues/1777
#--------------------------------------------------------------------------------------
function aws-ls-ec2-vm
{

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#Docker on GCE see:

public GCE VM, kubernettes

##Instantiate a docker VM

1. install gcutil/gcloud (see here: https://developers.google.com/compute/docs/gcutil/)
2. gcloud auth login