I had some trouble with the kubernetes docker image for SkyDNS being outdated. In my experience the version in `kubernetes/skydns:2014-12-23-001` will not behave correctly if it manages to startup before etcd, for details see skynetservices/skydns#142
Updating to SkyDNS latest fixes this.
We decided to get rid of boundPods. Removing this check is
a prerequisite for that. This check had some value before we had
IP-per-Pod. However, AIUI, use of HostPort is strongly discouraged
in Kubernetes. It still exists as part of a Pod spec because
of ContainerVM, where it is used. But, this change does not affect
ContainerVM, where there is no master.
If someone did create pods with HostPort using kubernetes, the following
would happen:
- The scheduler would try not to put two conflicting pods on the same
machine (pkg/scheduler/predicates.go : PodFitsPorts() )
- I'm not sure if it is currently possible for a race to occur where
the PodFitsPorts check were bypassed. Maybe it could happen.
- If the kubelet was sent conflicting pods, it would detect them in
( pkg/kubelet/kubelet.go : filterHostPortConflicts() ). It would
arbitrarily pick one pod to run and another to ignore.
- If all of the above happened and the user filed and issue on github,
we might figure out that the user used HostPort and tell the user to stop.
TODO:
- e2e test
- Several of the demos in examples/ use hostPort. Change them to
not specify hostPort and have a service instead.
Both @jlowdermilk and I have tried to use this for initial
configuration work. It's cheaper just to import it for now:
Name: PyYAML
Version: 3.11
Summary: YAML parser and emitter for Python
Home-page: http://pyyaml.org/wiki/PyYAML
Author: Kirill Simonov
Author-email: xi@resolvent.net
License: MIT
Download-URL: http://pyyaml.org/download/pyyaml/PyYAML-3.11.tar.gz
Description: YAML is a data serialization format designed for human readability
and interaction with scripting languages. PyYAML is a YAML parser
and emitter for Python.
PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
support, capable extension API, and sensible error messages. PyYAML
supports standard YAML tags and provides Python-specific tags that
allow to represent an arbitrary Python object.
PyYAML is applicable for a broad range of tasks from complex
configuration files to object serialization and persistance.
