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This introduces quite a few changes to make it easier to run Caddy as a load balancer in Kubernetes: - Make it possible to start/stop a selection of resources with ``tutor k8s start/stop [names...]``. - Make it easy to deploy an independent LoadBalancer by converting the caddy service to a NodePort when ``ENABLE_WEB_PROXY=false``. - Add a ``app.kubernetes.io/component: loadbalancer`` label to the LoadBalancer service. - Add ``app.kubernetes.io/name`` labels to all services. - Preserve the LoadBalancer service in ``tutor k8s stop`` commands. - Wait for the caddy deployment to be ready before running initialisation jobs. Close #532. |
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download | ||
img | ||
plugins | ||
reference/cli | ||
tutorials | ||
_release_description.md | ||
.gitignore | ||
conf.py | ||
configuration.rst | ||
dev.rst | ||
faq.rst | ||
gettingstarted.rst | ||
index.rst | ||
install.rst | ||
intro.rst | ||
k8s.rst | ||
local.rst | ||
Makefile | ||
plugins.rst | ||
quickstart.rst | ||
reference.rst | ||
run.rst | ||
testimonials.rst | ||
troubleshooting.rst | ||
tutor.rst | ||
tutorials.rst | ||
whatnext.rst |