- Etcd image `v3.5.12` has been built. ([#123069](https://github.com/kubernetes/kubernetes/pull/123069), [@bzsuni](https://github.com/bzsuni))
- Fixed a bug in scheduler requeueing where registered wildcard cluster event sources didn't work. ([#123117](https://github.com/kubernetes/kubernetes/pull/123117), [@kerthcet](https://github.com/kerthcet))

- Optimize EC2 DescribeInstances API calls in aws cloud provider library by querying instance ID instead of EC2 filters when possible ([#78140](https://github.com/kubernetes/kubernetes/pull/78140), [@zhan849](https://github.com/zhan849))

* Add support in Kubelet to consume container metrics via CRI. [[@yguo0905](https://github.com/yguo0905)]
  * There are known bugs that result in errors when querying Kubelet's stats summary API. We expect to fix them in v1.8.1.

#### kubelet

- Improved scheduling latency when there are many gated pods and events that trigger requeueing from the unschedulable pool. ([#124618](https://github.com/kubernetes/kubernetes/pull/124618), [@gabesaba](https://github.com/gabesaba)) [SIG Scheduling and Testing]

### Structured logging

SIG Instrumentation standardized the structure of log messages and references to Kubernetes objects. Structured logging makes parsing, processing, storing, querying and analyzing logs easier. New methods in the klog library enforce log message structure.

### EndpointSlices are now enabled by default

        Estimator. See
        [README](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/distribute)
        for more details.
*   Add C, C++, and Python functions for querying kernels.

## Breaking Changes

*   Keras:
    *   The default values for tf.keras `RandomUniform`, `RandomNormal`, and
        `TruncatedNormal` initializers have been changed to match those in