Signed-off-by: hang.jiang <hang.jiang@daocloud.io>

Signed-off-by: bo.jiang <bo.jiang@daocloud.io>

Related pip bug: https://stackoverflow.com/questions/68687029/unable-to-build-kubespray-container-from-dockerfile
Proposed workaround in comment: https://github.com/pypa/pip/issues/10219#issuecomment-887337037
Setting LANG only prior to launching pip fixes the issue with a successful build

using --no-cache-dir flag in pip install ,make sure downloaded packages
by pip don't cached on system . This is a best practice which make sure
to fetch from repo instead of using local cached one . Further , in case
of Docker Containers , by restricting caching , we can reduce image size.
In term of stats , it depends upon the number of python packages
multiplied by their respective size . e.g for heavy packages with a lot
of dependencies it reduce a lot by don't caching pip packages.

Further , more detail information can be found at

https://medium.com/sciforce/strategies-of-docker-images-optimization-2ca9cc5719b6



Signed-off-by: Pratik Raj <rajpratik71@gmail.com>

* Update Dockerfile for reduce image size

* Remove KUBE_VERSION form Dockerfile

* Update hashes and set default version to 1.19.5

Signed-off-by: anthr76 <hello@anthonyrabbito.com>

* Reorder hashes

1.19.5 hashes should be near 1.19.x

* Added back blank line

This PR adds missing checksums for kubeadm and hyperkube and changes
default version to 1.14.3

Signed-off-by: Sergey Nuzhdin <ipaq.lw@gmail.com>

* Update CI to use 2.10.0 release

* Add rsync as it's required to use synchronize

* Update CI to use 2.9.0 release and update Dockerfile to now use 18.04

* Update CI to use 2.9.0 release and update Dockerfile to now use 18.04

* Update the kubectl bin