mikigom

import ogr
import osr

high_ref = osr.SpatialReference()
low_ref = osr.SpatialReference()

coord_topleft = pixel2coord(high_res_raster, (col_high_res, row_high_res))

high_ref.ImportFromWkt(high_res_raster.GetProjection())
low_ref.ImportFromWkt(low_res_raster.GetProjection())

jgsqware

On master and nodes

Pull images form internet access laptop

docker pull gcr.io/google_containers/kube-apiserver-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-controller-manager-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-proxy-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-scheduler-amd64:v1.5.0
docker pull weaveworks/weave-npc:1.8.2
docker pull weaveworks/weave-kube:1.8.2

apparentlymart

# The following example shows a way to use iptables for basic round-robin load balancing, by redirecting
# packets two one of three ports based on a statistic counter.
#
# TCP packets for new sessions arriving on port 9000 will rotate between ports 9001, 9002 and 9003, where
# three identical copies of some application are expected to be listening.
#
# Packets that aren't TCP or that related to an already-established connection are left untouched, letting
# the standard iptables connection tracking machinery send it to the appropriate port.
#
# For this to work well, connections need to be relatively short. Ideally there would be an extra layer