For the 1.8 release, SIG Node continued to focus
on a broad set of workload types, including hardware and performance
sensitive workloads such as data analytics and deep learning. The SIG also
delivered incremental improvements to node reliability.

[SIG Node]: https://github.com/kubernetes/community/tree/master/sig-node

### SIG Network

* add goroutine to move unschedulable pods to activeq if they are not retried for more than 1 minute ([#72558](https://github.com/kubernetes/kubernetes/pull/72558), [@denkensk](https://github.com/denkensk))
* scheduler: use incremental scheduling cycle in PriorityQueue to put all in-flight unschedulable pods back to active queue if we received move request ([#73309](https://github.com/kubernetes/kubernetes/pull/73309), [@cofyc](https://github.com/cofyc))

  previous releases. When this happens, a `LifecycleHTTPFallback` event is recorded
  in the namespace of the pod and a `kubelet_lifecycle_handler_http_fallbacks_total`
  metric in the kubelet is incremented. Cluster administrators can opt out of the
  expanded lifecycle handler capabilities by setting
  `--feature-gates=ConsistentHTTPGetHandlers=false` in `kubelet`.'

## Bug Fixes and Other Changes

*   Java: Support for loading models exported using the SavedModel API (courtesy
    @EronWright).
*   Go: Added support for incremental graph execution.
*   Fix a bug in the WALS solver when single-threaded.
*   Added support for integer sparse feature values in
    `tf.contrib.layers.sparse_column_with_keys`.